sorption and desorption rates at a fraction of the sorbent cost versus state-of-the-art sorbents under passive DAC conditions. The company's approach combines the Spiritus Sorbent and the Spiritus Carbon Orchard, offering a scalable and modular system for low-cost DAC and sequestration (DAC+S).
Spiritus is committed to making carbon removal an accessible and practical tool in the global fight against climate change. Spiritus is seeking a Materials R&D Scientist to accelerate the development of sorbent materials. The role will have responsibility for developing synthetic methods to enhance critical sorbent performance characteristics, develop analytical methods and QA/QC diagnostics, and
ensure the sorbent is cost-effective, durable, and manufacturable. The position will be a key member of the materials development team and report directly to the CTO.
The candidate will: Work as part of a team in a fast paced rapidly changing environment to establish research direction and priorities. Develop scalable and manufacturable synthetic methods to improve sorbent performance characteristics. Demonstrated ability to rapidly develop and explore R&D concepts. Interface with internal engineering resources and partners to refine/improve DAC system concepts. Interface with the Director of Manufacturing and manufacturing resources to refine and improve sorbent manufacturability, quality,
and cost. Work as part of a team to develop diagnostics for sorbent characterization, and rational manufacturing quality assurance and control.
The candidate will have: Experience in polymer chemistry, synthetic organic, and/or main group chemistry. Experience in materials development, characterization, and manufacturing. A Ph D in chemistry, materials science, or a suitable combination of education and experience. Where you will work: The Spiritus Technologies development facility is located in the beautiful and sunny mountainous region of northern New Mexico (White Rock, 10 mins from Los Alamos). Numerous outdoor activities include 100s of miles of mountain biking trails, rock climbing, hiking, and skiing at Pajarito, Santa Fe, and Taos within 20-80 minutes.
Benefits: Employees of Spiritus Technologies PBC have access to a 401k Retirement Plan as well as very competitive medical insurance with a nationwide network as well as dental and vision insurance. Flexible schedules and time off (paid sick, vacation, and holidays). Spiritus Technologies PBC is an Equal Opportunity Employer and is committed to developing a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, interaction, gender identity, interactionual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations.
We are committed to making our workplace accessible to individuals with disabilities and will provide any necessary accommodations, upon request, for individuals to participate in the application and hiring process. Apply for this job: jobs. /spiritus/64a90e5e-ef18-42d3-b047-7d4e3151ee4f? utm_source=90w Yyq Pq8V
Computing Lab (PCL) in Intel Labs is seeking a motivated full-time research scientist in the area of quantum computing applications and enabling software research. PCL investigates emerging compute- and data-intensive applications in areas such as artificial intelligence, traditional high-performance computing, big data computing, computational biology, physical simulation, and large-scale optimization problems.
We work in close collaboration with leading academic and industry co-travelers to understand the hardware and software architectural implications for Intel's parallel processing platforms. In this position, you will be responsible for implementing, researching, and prototyping
new algorithms, software, and systems for near-term quantum computing systems under development. Besides deep understanding quantum computing, experience, and interest in traditional high-performance computing systems with an in-depth algorithmic understanding of emerging compute-intensive ML/AI/HPC applications - is highly desired.
You will develop state-of-the-art software and hardware systems with the goal of integrating these systems in the open-source ecosystem and Intel's future product lines. You will take initiative and work with other Intel Labs' researchers and across Intel business units to conduct research into promising technologies typically 3-5 years prior to product development.
This requires an understanding of computer architecture, system software, performance analysis, and parallel programming.
The successful candidate should exhibit the following behavioral traits: Excellent problem-solving skills Excellent written and spoken communication skills. Independent researcher who can function autonomously. We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today. Qualifications You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience. Minimum Qualifications: The candidate must have a Master's Degree or Ph. D. degree in Computer Science, Electrical Engineering, Computer Engineering, Physics, or other related areas. 1+ years of experience in below areas: Software development skills using Python. Code development for simulating quantum computing or quantum physics on traditional machines The candidate must have completed coursework in quantum physics or quantum computing.
Preferred Qualifications: Software development skills using C/C++ Demonstrated experience in parallel workloads (e. g. machine learning, scientific computing, data analytics) Experience in hybrid computing: traditional and quantum working collaboratively together. Tier-1 publications Inside this Business Group Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth.
This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units. Other Locations US, OR, Hillsboro; US, AZ, Phoenix; US, CA, San Diego Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, interaction, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, interactionual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in US, California: $156,450.00-$234,770.00Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs. Requisition #: JR0254549pca3lyuhf
it is a calling Work-Life Balance: Enjoy mostly Monday-Friday day shifts (rotating weekends & on-call evenings)Continuity of Care: The opportunity to develop long-term relationships and witness the positive impact you make on their lives. Excellent Benefit Package: We take care of our employees by offering a comprehensive benefit package that includes competitive compensation, health insurance, retirement plans, paid time off, and other perks.
Making a Difference: By choosing a career in Home Health and Hospice, you will have the chance to use your skills, compassion and dedication to make a tangible difference in the lives of individuals and their families. Responsible for backssing,
planning, organizing, and participating in rehabilitative programs that improve patient mobility, relieve pain, increase strength, and improve or correct disabling conditions resulting from disease or injury.
Demonstrates advanced knowledge and practice level competencies, and is a recognized clinical or workflow subject matter expert. Responsible for developing key workflows and clinical protocol or guidelines for department. Serves as a resource in the education, training and mentoring of other staff and a clinical instructor for assigned students. Leads staff education programs and coordinates student program. Adheres to all local/state/federal regulations, codes, policies and procedures
to ensure privacy and safety while delivering optimal patient care.
Job Description: EDUCATION: Other: Graduate of an accredited physical therapy school CERTIFICATION & LICENSURE: PT-Physical Therapist BLS-Basic Life Support Healthcare Provider DEPARTMENT REQUIRED CERTIFICATION & LICENSURE: Department: Home Health, DL-California Drivers Class CDepartment: Home Health, AUTO-Automobile Insurance TYPICAL EXPERIENCE:5 years of recent relevant experience. SKILLS AND KNOWLEDGE: Collaborates with key stakeholders in developing solutions. Critical thinking, complex problems solving, decisive judgement and ability to work independently. Knowledge and application of professional practice and regulatory requirements.
Must be able to work in demanding work environment, organize multiple priorities completing work duties within expected timelines and requirements. Computer and required technology proficiency/competencies. Demonstrates effective and efficient professional communication (verbal & written) skills as well as interpersonal skills, conflict resolution, teamwork/collaboration, customer service and community relations abilities. Able to retain and apply new knowledge & skills. Keeps abreast of professional practice development and advancement. Ability to teach/educate others, public speaking.
Ability to develop training materials and competency backssments. Develop treatment protocols. Ability to extract evidence-based practice information and apply to clinical practice and training materials. Able to analyze and identify clinical practice and workflow best practices. Complex problem solver within and outside of department. Analyzes data/information from multiple sources. Job Shift: Days Schedule: Full Time Shift Hours:8Days of the Week: Monday - Friday, Variable Weekend Requirements: Rotating Weekends Benefits: Yes Unions: No Position Status: Non-Exempt Weekly Hours:40Employee Status: Regular Number of Openings:3This position may regularly work, store, prepare, receive, unpack, transport, dispose of, or administer drug(s) identified as hazardous, or potentially hazardous, by the National Institute for Occupational Safety and Health (NIOSH) for purposes of USP 800.
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans. Pay Range is $69.24 to $86.55 / hour The salary range for this role may vary above or below the posted range as determined by location. This range has not been adjusted for any specific geographic differential applicable by area where the position may be filled.
Compensation takes into account several factors including but not limited to a candidate’s experience, education, skills, licensure and certifications, department equity, training and organizational needs. Base pay is just one piece of the total rewards program offered by Sutter Health. Eligible roles also qualify for a comprehensive benefits package. Schedule/Shift: Regular/ Days For more details: jobs-search. org/physical-therapist_palo-alto-c426308/physical-therapist-home-health-palo-alto_i1966536138
Laboratories are located in the Biomedical Innovations Building on the main campus at Stanford University and are members of the BASE Initiative in the Betty Irene Moore Children’s Heart Center, a collaboration with Drs. Mark Skylar-Scott (Dept of Bioengineering) and Marlene Rabinovitch (Dept of Pediatrics).
Project overview: DNA regulatory elements in the human genome, which harbor thousands of genetic risk variants for common and rare heart diseases and could reveal targets for therapeutics that aim to precisely tune cellular functions — if only we could map the complex regulatory wiring that connects 2 million regulatory elements with 21,000 genes in thousands of cell types in the
human body. We have recently developed new approaches that could enable mapping this regulatory wiring at massive scale (see Fulco et al. Science 2016, Fulco et al.
Nat Genet 2019, Nasser et al. Nature 2021), and applied these and other approaches to understand the genetic basis of congenital heart defects (Gifford et al. Science 2019, Schricker et al. Nature 2019, Ameen et al. bio Rxiv 2022). We have now identified enhancers that contain disease variants that affect risk for congenital heart defects, and aim to study the functions of these enhancers in mouse models and human cardiac organoids. These studies will ultimately help to uncover biological mechanisms of congenital heart defects,
and help to guide diagnosis and treatment for children with heart disease.
For information and recent work, see , www. engreitzlab. org, and med. stanford. edu/base. html. We are looking for creative and passionate people at any stage in their career (see other job postings). The Gifford and Engreitz Laboratories are located adjacent to one another and provide a dynamic, interdisciplinary workplace with unique access to cutting edge technologies and scientific thought, with the potential for widespread recognition of scientific contributions. We value a diversity of values, backgrounds, and approaches to solving problems. The candidate for this position should have hands-on experience in mouse genetics, molecular biology, genomics, and cellular assay development; experience with quantitative data analysis; curiosity in research and creativity in problem-solving; strong interpersonal and collaboration skills; experience building or managing teams; outstanding verbal and written communication abilities; ability to adapt to and effectively manage changes in a fast paced and dynamic environment; and have a passion for science and sense of urgency to find new medicines to benefit patients.
In addition to submitting your application via the Stanford web portal, please email your CV and cover letter directly to Profs.
Casey Gifford () and Jesse Engreitz () Duties include: Make fundamental discoveries about gene regulation and the genetics of cardiovascular disease. Together with PI and other lab members, design and execute scientific projects. Develop and apply strategies to study enhancers and genes in human cells and mouse models. Evaluate and recommend new emerging technologies, approaches, and problems. Train and collaborate with other lab members in experimental techniques, scientific design, and other skills. Design and lead independent projects.
Collaborate with a team of experimentalists and computational biologists. Create scientifically rigorous visualizations, communications, and presentations of results. Contribute to generation of protocols, publications, and intellectual property. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Ph. D. in Biology, Biochemistry, Biophysics, Genetics, Bioengineering, Developmental Biology, or related life science field is preferred. Highly motivated candidates of all levels are encouraged to apply. Expert in mouse genetics, with experience studying embryoic or heart development a plus.
Experience in technology development, molecular biology, genomics, and cellular assay development. Experience with quantitative data analysis. Experience with CRISPR targeting ES/i PS cells or single-cell RNA-seq a plus. Curiosity in research and creativity in problem-solving. A great team member with strong interpersonal and collaboration skills. Outstanding verbal and written communication abilities. Ability to adapt to and effectively manage changes in a fast paced and dynamic environment. A passion for science and sense of urgency to find new medicines to benefit patients.
EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field and four years of relevant work experience; or Master’s degree in a related scientific field and two years relevant experience; or Ph D in related science field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Comprehensive understanding of scientific principles. Expert level knowledge and skills in field of science related to research project. General computer skills and experience with databases and scientific applications Strong analytical skills and excellent judgment. Ability to work under deadlines with general guidance is essential.
Excellent organizational skills and demonstrated ability to complete detailed work accurately. Developing project management skills. PHYSICAL REQUIREMENTS: Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. Must have correctible vision to perform duties of the job.
Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. Ability to lift heavy objects weighing up to 50 pounds. Position may require repetitive motion. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May require working in close proximity to blood borne pathogens. May require work in an environment where animals are used for teaching and research.
Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. May require extended or unusual work hours based on research requirements and business needs. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http: //adminguide. stanford. edu. The expected pay range for this position is $82,000 to $102,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors.
To learn more about COVID policies and guidelines for Stanford University Staff, please visit cardinalatwork. stanford. edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy. For more details: jobs-search. org/real-estate_stanford-c426101/job_i1966534750
to deliver results. We place a high priority on equipping our staff to perform their job efficiently, helping them acquire new skills and grow within the organization. We encourage our team to have a healthy balance between work commitments and life outside of work and provide support to achieve this balance.
If you are looking to make a large impact through global-reaching clinical research, we encourage you to apply! In collaboration with the Division of Hospital Medicine and others at Stanford, SCCR is seeking Clinical Research Coordinator Associate (CRCa) to perform duties related to the coordination of multiple hospital medicine studies. The CRCa will work in a dynamic atmosphere
and as part of a large team in a supportive environment. There will be the opportunity to work closely with fellow coordinators and research assistants, physicians, nurses, and technicians.
Direct patient contact is a primary responsibility of this role. The CRCa is required to have the ability to multi-task in a high-energy environment. A flexible work schedule, outstanding communication and organizational skills, and attention to detail are required in a successful candidate. The CRCa will act as a point person for participants and staff, present at meetings and huddles, and troubleshoot research related issues. The CRCa may engage with a pool of coordinators to support other research
studies across the Department of Medicine. The CRCa will be responsible for ensuring compliance with federal, state, local, and sponsor regulations and work under the direction of their supervisor.
The CRCa will work under close direction of the principal investigator and/or study coordinator/supervisor. Other duties may also be assigned. This is an on-site position. Duties include: Serve as primary contact with research participants, sponsors, and regulatory agencies. Coordinate studies from start-up through close-out. Determine eligibility of and gather consent from study participants according to protocol. Assist in developing recruitment strategies. Coordinate collection of study specimens and processing.
Collect and manage patient and laboratory data for clinical research projects. Manage research project databases, develop flow sheets and other study related documents, and complete study documents/case report forms. Ensure compliance with research protocols, and review and audit case report forms for completion and accuracy with source documents. Prepare regulatory submissions, and ensure Institutional Review Board renewals are completed. Assemble study kits for study visits, monitor scheduling of procedures and charges, coordinate documents, and attend monitoring meetings with sponsors, acting as primary contact.
Monitor expenditures and adherence to study budgets and resolve billing issues in collaboration with finance and/or management staff. Interact with the principal investigator regularly, ensuring patient safety and adherence to proper study conduct. Ensure essential documentation and recording of patient and research data in appropriate files per institutional and regulatory requirements. Participate in monitor visits and regulatory audits. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities.
Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. DESIRED QUALIFICATIONS: Clinical research coordinator experience. Clinical research operations certificate or interest in working toward one. Valid CA driver's license. Bilingual (Spanish Preferred). EDUCATION & EXPERIENCE (REQUIRED): Two-year college degree and two years related work experience or a Bachelor's degree in a related field or an equivalent combination of related education and relevant experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Strong interpersonal skills. Proficiency with Microsoft Office. Knowledge of medical terminology. CERTIFICATIONS & LICENSES: Working toward certification(s) to perform basic patient measurements and tests, such as phlebotomy and EKG. PHYSICAL REQUIREMENTS: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds.
Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http: //adminguide. stanford. edu/. The expected pay range for this position is $61,000 to $76,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. Why Stanford is for you Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses.
Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a Ted Talk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities.
We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
School of Medicine employees who are patient-facing, work in, or frequent clinical and hospital areas for work purposes are considered as healthcare workers. This position is considered a healthcare worker and will need to comply with the Stanford Medicine vaccination requirements including the primary series of COVID 19 vaccine. For more details: jobs-search. org/crca_stanford-c426101/crca-hospital-medicine-palo-alto-site-stanford_i1966530373
across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.
Salesforce AI Research is looking for outstanding applied scientists. Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural
Language Processing (NLP), and Deep Learning? At Salesforce, we have launched Einstein GPT, the world's first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale.
With Einstein GPT, Salesforce can transform every customer experience with generative AI. Want to learn more? Check this out: Introducing Einstein GPT: The World's First Generative AI for CRM Salesforce As an applied scientist at Salesforce AI Research, your role will be at the intersection of software engineering and research and may range from implementing novel research models to rapid prototyping demos that show off machine learning
applications on production data. You will work closely with research scientists to develop models, prototypes, and experiments that push the state of the art in AI research, paving the way for innovative products and services.
With the latest machine learning methods, you can take on real-world problems from Salesforce's enterprise customers. Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Computer Vision, Reinforcement Learning , or Machine Learning in general. Responsibilities: Own and pursue ambitious, long-term research goals.
Develop solutions for real-world, large-scale problems. As needed lead teams to deliver on more complex pure and applied research projects. Minimum qualifications: Master's degree in computer science, artificial intelligence, machine learning, or a related technical field. Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python. Experience with one or more deep learning libraries and platforms (e. g. Tensor Flow, Jax, or Py Torch). Proven ability to implement, operate, and deliver results via innovation at a large scale.
Preferred qualifications: Full-time industry experience in deep learning research/product. Strong experience building and applying machine learning models for business applications. Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred. Experience in implementing high-performance and large-scale deep learning systems. Thoughtful about AI impacts and ethics. Fantastic problem solver; ability to solve problems the world has not solved before. Excellent written and spoken communication skills. Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.
Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
Learn more about Equality at and explore our company benefits at . Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For California-based roles, the base salary hiring range for this position is $133,800 to $305,600. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link:Requisition #: JR214502pca3lyuhf
such as engineering, product design, customer support to understand key challenges and help shape strategy to resolve these varied issues as well as drive improvements. Expected base pay range: $144,691.25 - 195,758.75/year. Job Requirements: Depending on level/type of position, degree and/or experience may be required.
Some positions may allow for telecommuting. To Apply: To apply, email resume to You must include the job code # I-6766 on your resume/cover letter. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for these positions is listed above. These positions will be eligible for a cash bonus, equity
rewards and benefit, in accordance with our applicable plans and programs (see more about our compensation and benefits at /careers/benefits/full-time-employees.
Pay offered is based on factors such as job-related knowledge, skills, education, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now! Summary: At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications.
Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP's mission
to overcome this challenge within the realm of Business AI. Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively.
Meet your team: SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally. The Role: Unique opportunity to lead the development of a Foundation Model on structured business data embedded in a diverse business
context. Technical lead for the project team of AI Scientists and Data Engineers, providing strategic guidance and overseeing project execution.
Design a representation suitable for Self-Supervised Learning on data across the entire SAP application and process portfolio. Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for End-to-End Foundational Model. Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Model aligns with strategic company objectives of embedding AI into our product portfolio. Maintain up-to-date knowledge of AI and Data Engineering trends and apply this expertise to improve team performance and product quality.
Establish and drive research collaborations with academic and commercial partners. Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI. What you bring: Ph D or master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines. Extensive experience with Foundation Models as well as Machine Learning Professional experience with Machine Learning on structured data such as in the ERP or CRM domain is preferred.
Deep understanding of issues and opportunities of applying Generative AI in a business context. Proficiency in Python, and experience with ML frameworks such as Py Torch, Tensor Flow, or similar. Exceptional teamwork abilities, strong leadership and strategic thinking skills. Substantial publication record related to LLMs and Foundation Models #SAPAI #SAPAICareers We build breakthroughs together SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.
As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best.
At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities.
If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: xyz X@. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
EOE AA M/F/Vet/Disability Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), interactionual orientation, gender identity or expression, protected veteran status, or disability. Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role.
The targeted combined range for this position is 177,900 - 392,100 USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.
Requisition ID: 378787 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid
be supported by several highly skilled data scientists, including those specializing in NLP. You will have available to you: a weekly study group, design review forums, code reviews, as well as access to annotators and several tasks to sharpen your skills. The ideal candidate has experience as the technical lead of NLP pipeline development.
This can be from academics, personal projects, competitions, open source, or professional work. Additionally, the applicant is expected to have a strong theoretical foundation in classical and modern NLP techniques. Highly motivated but less qualified or experienced candidates are absolutely encouraged to apply for either Junior or Intern positions.
Perks Flexible remote work, unlimited PTO, health/dental/vision plans, 401k, and equity option grants are available to full time data scientists at Verusen. Our Mission & You Verusen’s vision is to build an intelligent, connected supply chain.
Through years of well-meaning but haphazard information systems design, it is frequently the case that sharing information across the supply chain is incredibly difficult. Put simply, different parts of the supply chain refer to the same part in different and sometimes ambiguous ways. Our mission is not only to resolve these links, but to provide our customers with recommendations for those parts that are most at risk. Investors • Verusen is Venture
backed with investors including, Glasswing Ventures (Boston) • Flyover Capital (KC), Zetta Venture Partners (SF), Kubera VC (SF) and Engage • Ventures (ATL).
They are currently a Signature Company @ Georgia Tech’s Advanced • Technology Development Center (ATDC). Their partnerships include SAP, Accenture, and are a portfolio company of SAP. i O. What you will do: • Assist in the design of new experiments in our natural language processing pipelines. • Assist in the development of new NLP pipelines including data collection (including working with annotators), data extraction, data cleaning, exploratory data analysis, evaluative metric selection, baseline modeling, prototype modeling, error analysis, production modeling, and ongoing production support.
• With a focus on natural language processing and information retrieval. This person will be responsible for the end-to-end design, implementation, and monitoring of NLP pipelines. • The ideal candidate has significant experience as the technical lead of NLP pipeline development. This can be from academics, personal projects, competitions, open-source, or professional work. Additionally, the applicant is expected to have a strong theoretical foundation in classical and modern NLP techniques. Highly motivated but less qualified or experienced candidates are encouraged to apply for either Junior or Intern positions.
• As a Data Scientist in any position at Verusen, you will be supported by several highly skilled data scientists, including those specializing in NLP. You will have available to you: a weekly study group, design review forums, code reviews, as well as access to annotators and several tasks to sharpen your skills. As a member of a small team, your work will have a direct impact on both a large number of customers on our platform and on the future of a rapidly growing company. Responsibilities: • Creatively ideate on modifications to existing tasks and new tasks, while maintaining a focus on customer value and practical application.
• Experiment, build, maintain, and iterate on NLP pipelines. • Create, maintain, collaborate, and implement scientific and coding standards. Nice to Haves: • Python - including libraries like Tensorflow (or Py Torch), Sci-Kit learn, Pandas, and Numpy. • Experience creating production code including object-oriented programming principles. • Unit & integration testing • Experience with algorithmic design, complexity analysis, mathematic/scientific computing.
• Experience with supply chains. Qualifications • Masters Degree, Ph. D. preferred. Less traditional candidates will be seriously considered based on the strength of their portfolio. • Statistics: theoretical foundation in various common distributions, MAP/MLE, bayes, probability theory. • Familiarity with some statistical analysis software/library like Sci Py or SPSS, SAS, R, etc. • Natural Language Processing • Data engineering: SQL, Spark, Hadoop. • Various classifiers: Deep learning (including very modern approaches), forest-based classifiers, linear models, SVMs. Additional information Commitment to Diversity and Inclusion At Verusen, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, interaction, national origin, age, physical and mental disability, interactionual orientation, gender identity and/or expression, status as a veteran and any other characteristic protected by applicable law.
We respect and seek to empower each individual and support a diverse culture, perspectives, skills, and experiences within our workforce. We believe that diversity and inclusion among our teammates are critical to our success, and we seek to recruit, develop and retain the most talented people from a dive candidate pool.
For more information about the Company, check us out at . "
hospitals. Sepsis mortality rate increases >6% every hour without effective antibiotic treatment. Yet, despite the life and death urgency, and healthcare cost impacts, current methodologies require 3 days to determine the correct antibiotic. Specific Diagnostics has developed a breakthrough solution to rapidly determine the effective antibiotic treatment for the bloodstream and other acute infections.
Used for bloodstream infection Specific’s solution provides results 2 days sooner than existing methods, saving patients suffering from a drug-resistant infection. We have been funded by nearly $30 M in non-dilutive government-sponsored research support and recently $17.5 M in venture
capital. This is an opportunity to join us at an inflection point in our commercial growth as we bring our first key product to market and with recognition from major customers fueling an expansion of our staff.
The Job This is the job for you if want to be where your ideas to be central to a world-changing and lifesaving product. Data science and analytics are at the core of our company we are seeking an exceptional talent to join our team. You will be a key contributor and critical to the success of the company. The main analysis tasks you are expected to contribute to are: • Analytical methods and statistical analysis for processing high-volume, temporal high-dimensional data streams
generated in real-time from our proprietary sensor technology. • The development of data-driven visualization tools for the explorative analysis of high-dimensional data.
• The application and development of suitable pre-processing, feature-selection, and dimensional reduction techniques to detect, measure and account for data artifacts. • The development and validation of applications for a medical instrument built under the guidance of a senior manager experienced in the application development discipline (so you’ll be learning the valuable skill of integrating your work into applications for medical diagnostic devices). • Algorithm development for decisions and measurements from multi-dimensional data streams.
• This is not the job for a numbers-only person. We want someone with a passion for and experience in the sciences that will lead you to look deeply into the sources of the data along with the scientists so that the data analysis is influenced by the science of our diagnostic technology and the science is influenced by the analysis. You You have a proven track record of successfully developing, validating, and deploying data analysis and analytical methods to solve challenging real-world applications. You are deeply familiar with a broad range of analytical models and are at the pulse of developments in the field.
Ideally, you have proven expertise in the analysis of Spatio-temporal data. You have strong domain knowledge in the field of statistical analysis and signal processing. You should have a track record of success in your education and projects and have these characteristics and skills: • MS degree in computer sciences, biomedical engineering, or related field and at least 5 years of interesting relevant experience. • Expert in R and proficient with C++ and Python. • Expertise in analytical methods and statistical analysis.
• Proficiency in SQL, as well as No SQL database technologies, is a plus. • Full fluency (verbal and written) of the English language is a must. /
research and development to create a cutting-edge in vitro diagnostic system. Experience in product development for medical diagnostics is preferred. Ideally, you have proven expertise in planning and executing laboratory experiments, preparing, and giving presentations, data preparation and acquisition, and data interpretation.
Domain knowledge in protocols, execution of clinical studies, and experience working within regulatory guidelines is a definite plus. The job requires in-depth knowledge and proficiency in standard microbiological methods such as dilution and enumeration of microorganisms, stocking frozen strains, isolation, and identification of pathogenic microorganisms, preparation
and sterilization of culture media, aseptic techniques, components of culture media, and impact on growth. You must be able to work in compliance with FDA and ISO guidelines in the regulated IVD arena.
Key responsibilities include: • Working independently and as a member of a cross-functional team to support microbiology research and development. • Preparing data decks and giving presentations for various studies. • Working as a member of the development team executing analytical and research studies. • Providing team members with technical guidance and training, as well as identifying resources needed to meet or exceed project goals. • Authoring and reviewing protocols, reports, SOPs,
work instructions, and other product-related documents.
You Creating new-to-the-world, impactful products, requires passion, smarts, strength, persistence, and hard work. You should be able to solve difficult problems and get big things done. You will be self-motivated, highly organized, and flexible. Ability to independently manage a project is needed and you must be able to adapt to shifting priorities. You should be excited by the prospect of working in a dynamic, entrepreneurial environment. We are adding only the most exceptional talent to our outstanding team of engineers and scientists. You should have a track record of success in your education and projects, along with the following characteristics and skills: • Ph D in Microbiology or similar discipline with 1+ years of industry microbiology and/or medical diagnostics, or M.
S. in equivalent major with 4+ years in microbiology and/or medical diagnostics. • Strong research background. Exceptional skills in preparing presentations and analyzing data. • Experience working with a team of microbiologists. Previous track record of collaboration within a fast-paced environment a plus. • Proven proficiency in data analysis, research design, troubleshooting, and evaluation of new technologies and procedures.
• Experience in the development and validation of clinical diagnostic/susceptibility assays for infectious disease. • Teamwork experience, start-up experience and knowledge of AST is a plus, but not a pre-requisite. • Clinical Microbiology Laboratory experience is a plus. • Experience working with multidrug-resistant bacteria and/or Mycobacterium Tuberculosis is preferred. • A team player that works well can independently and as part of a team. • Ready for a fast-paced biotech start-up. Job Type: Full-time
histology assays. • optimizing whole-tissue staining, • clearing and imaging protocols, • generating novel analysis routines, and • summarizing results for publication or reporting The selected candidate will report directly to the scientific leadership team and work with a diverse group of researchers across multiple disciplines.
The Scientist will lead research efforts on various projects, designing experiments, generating timelines, and executing experiments and data analyses in a timely manner. Candidates must have a demonstrated record of scientific productivity, creativity and rigor. Strong organizational and communication skills will be critical for success in the role. While pre-clinical
Neuroscience is a primary focus of our research currently, we welcome candidates from all biological disciplines. If you are interested in developing state-of-the-art assays, enjoy creating new tools, and would like to work in a team-oriented environment, please apply.
We are located in the research park next to UC Irvine. Irvine is in Orange County, California, where a growing hub for biotech startups is situated and it is close to amazing food, biking/hiking trails and beaches. This position is ideal for a recent Ph. D. graduate interested in making an impact on scientific knowledge by contributing to development of exciting new tools to expediate and enrich the way scientific discoveries
are made across multiple disciplines. • Ph. D.
degree in Neuroscience, Immunology, Oncology or other biology discipline • Extensive immunostaining experience, ideally with tissue clearing methods • Demonstrated experience in quantitative image analysis • Computational skills, including experience with Python or bash scripts • Proven ability to operate in a collaborative team environment • Strong written and verbal communication skills Responsibilities: • Design, perform, analyze and rigorously document experiments • Lead research projects and coordinate activities of research associates • Present data to research teams, management and communicate findings in publications, posters and conference presentations • Manage collaborations with industry and academic partners • Assist with writing manuscripts, reports, grant applications and patent filings
We provide exceptional opportunities for those who have the entrepreneurial spirit, enjoy developing novel technology platforms and products, and aspire to grow together with the company. Description: We are seeking a Ph D level scientist with a passion for innovation to augment the capability of our novel Biomarker detection and quantitation.
You will be working in a fast-paced environment, on multiple projects, and will be a part of a rapidly growing company to make a big impact in life science research and clinical diagnostics. Key Responsibilities • Design and execute experiments for new biomarker detection. • Examine the impacts of multiple variables on assay performance. • Proactively
identify opportunities for product and process improvement. • Develop and document technology/product requirements, protocols, work instructions. Required Knowledge/Skills, Education, and Experience • Ph.
D degree in biochemistry, molecular biology or a related discipline; or BS/MS with substantial relevant experience. • Hands on experience running ELISA, q PCR or similar, as well as experience generating, analyzing, and reviewing data from those assays required. • Self-motivation with a positive “can do” attitude, attention to details and ability to manage complex projects are critical. • Knowledge in emerging reagent and immunoassay technologies desirable. • Knowledge in biomarker discovery,
assay prototyping, performance optimization, and control system design preferred.
• Data management skills highly beneficial. • Strong communication skills to work within a multidisciplinary team environment required.
condition treated in hospitals. Sepsis mortality rate increases >6% every hour without effective antibiotic treatment. Yet, despite the life and death urgency, and healthcare cost impacts, current methodologies require 3 days to determine the correct antibiotic.
Specific Diagnostics has developed a breakthrough solution to rapidly determine the effective antibiotic treatment for bloodstream and other acute infections. Used for bloodstream infection Specific’s solution provides results 2 days sooner (1 day vs 3 days). We have been funded by nearly $30 M in non-dilutive government-sponsored research support and recently $17.5 M in venture capital. This is an opportunity to join us at
an inflection point in our commercial growth as we bring our first key product to market and with recognition from major customers fueling an expansion of our staff.
The Job We are seeking to add a senior member to our strong team of chemists. This is a senior role; key responsibilities include: leading R&D of chemical sensor development, successful transfer from engineering to manufacturing, guiding scientists in their development and project management. This is not the job for a manager-only type, you will also be hands on contributing to our most challenging developments. It is critical to communicate and collaborate with colleagues in our microbiology and data science groups to assure
the sensor is making the most of the biology and that the data produced is ready for analytical analysis.
Designs must prove ready for high volume, high yield, low cost manufacturing, design for manufacturability and ability to work with manufacturing teams is a critical aspect of this job. You Essential Duties & Responsibilities • Lead Chemistry R&D projects. • Investigates problems with production batches of chemical colorimetric sensors as needed. • Participate in sensor manufacturing improvement projects. • Provides full technical reports outlining any technical concerns and/or recommendations for sensor manufacturing. • Collaborate with team leads in microbiology, engineering, and software.
• Read, analyze, and interpret common scientific and technical journals, scientific procedures, and regulatory guidelines. Required Experience • Ph D in chemistry or material science with +5 years of industry experience in organic chemistry, analytical chemistry, polymer chemistry, or formulations. • History of essential people management skills. • Extensive experience in and understanding of reaction mechanisms. • Background in printing and ink formulation is a plus. • Expert in project management and product development with excellent written and oral communication skills with both team members and non-technical business/research partners.
• Knowledge of Six Sigma and DOE. • Excellent chemical hygiene, experience working with hazardous materials. • Knowledge of routine testing procedures and common laboratory practices. • Ability to manage a broad range of projects. • Self-motivated, HIGHLY organized, and flexible. • Full English fluency required. • Proactive, innovative, highly organized, and calm under pressure approach. • Ready for fast-paced biotech start-up Company location: San Jose, CA Job Type: Full-time Applicants must have U. S. employment authorization. The company will not sponsor applicants for U. S. work visas.
Science Jobs refer to employment opportunities within the various fields of science, such as biology, chemistry, physics, and environmental science. These positions often require a strong educational background in their respective disciplines and can range from academic research and teaching roles to industry-based positions in pharmaceuticals, technology, and more. Unique features of Science Jobs include a focus on innovation, evidence-based analysis, and the exploration of the natural world. They contribute significantly to technological advancements and the betterment of society through scientific discovery and application.
