Location: Santa Cruz, CA
Company: University Of California, Santa Cruz
Research and Development (R&D) jobs involve creating new products, improving existing ones, or developing innovative solutions and processes within various industries. The roles are typically characterized by a strong focus on innovation, problem-solving, and continuous learning, as individuals in R&D must keep abreast of cutting-edge technologies and scientific advancements. These positions can range from laboratory researchers, development engineers, to product developers, and are essential for companies looking to stay competitive by bringing novel ideas to market. R&D professionals often work in teams, engage in creative thinking, and are crucial in driving the future growth of their organizations.
opportunities for research students to work on critical research projects at Google in a less structured way. The program allows opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote).
The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers
and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $106,000-$141,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Minimum qualifications: Currently enrolled in a Ph D degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. Experience in one area of computer science (e. g. Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications: Currently enrolled in a full-time degree program and returning to the program after completion of the internship. Currently attending a degree program in the US. Experience as a researcher, including internships, full-time, or at a lab. Experience contributing to research communities or efforts, including publishing papers in major conferences or journals. Experience with one or more general purpose programming languages (e. g. Python, Java, Java Script, C/C , etc.
). Ability to communicate in English fluently. Responsibilities Participate in research to develop solutions for real-world, large-scale problems. Requisition #: 102768021736432326pca3lyuhf
opportunities for research students to work on critical research projects at Google in a less structured way. The program allows opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote).
The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software engineers
and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $90,000-$116,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Minimum qualifications: Currently enrolled in a Bachelor's or Master's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. Experience in one area of computer science (e. g. Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications: Currently enrolled in a full-time degree program and returning to the program after completion of the internship. Currently attending a degree program in the US. Experience as a researcher, including internships, full-time, or at a lab. Experience contributing research communities or efforts, including publishing papers in major conferences or journals. Experience with one or more general purpose programming languages (e. g. Python, Java, Java Script, C/C , etc.
). Ability to communicate in English fluently. Responsibilities Participate in research to develop solutions for real-world, large-scale problems. Requisition #: 99641405804028614pca3lyuhf
Health Educator will be in direct contact with site leaders, oncology providers, and patients during data collection and intervention implementation activities. With assistance from the Principal Investigator - Dr. Manali Patel, Assistant Professor of Medicine (Oncology) at Stanford University , the Research Assistant will perform data collection, data entry, data management, simple data analysis, and creation of reports for funders as well as peer reviewed publications.
This a full-time position, located in Palo Alto, CA. We offer work from home flexibility , but you will need to be on-site at the VA hospital in Palo Alto to perform most of the duties. BENEFITS PAVIR is delighted to
offer a robust part time employee benefits package with exceptional offerings such as sick pay policies, a 401(k) with a fully vested 6% company match and 3% profit share , a wellness program, commuter benefits, and professional development training.
MAIN RESPONSIBILITIES: Serve as a primary contact with research participants, sponsors, and regulatory agencies. Assist with screening individuals for enrollment in the studies, determine eligibility, 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 data for clinical research projects. Assist with
managing research project databases, develop flow sheets and other study related documents, and complete study documents/case report forms.
Interact with the principal investigator regularly, ensuring patient safety and adherence to proper study conduct. Help ensure compliance with research protocols, and review and audit case report forms on REDCap for completion and accuracy with source documents. Help to prepare regulatory submissions and ensure Institutional Review Board renewals and VA Research Review Committee renewals and applications are completed. Participate in monitor visits and regulatory audits. Ensure appropriate registration of trial information on clinicaltrials.
gov and maintain renewals and updating information and uploading data upon study completion. Assemble study kits for study visits, monitor scheduling, coordinate documents, and attend monitoring meetings with sponsors and team members, acting as primary contact. Help monitor expenditures and adherence to study budgets and resolve billing issues in collaboration with finance and/or management staff. Help prepare manuscripts and reports, including preparing tables and formatting references and assisting with grant applications. Assist with other study-related duties as needed.
QUALIFICATIONS: Required: Bachelor's degree or equivalent experience; At least 1 year of relevant research experience (can be undergraduate experience); Preferred: Master's degree; Previous experience working in the VA system and/or experience with intervention trials in oncology, subject recruitment and screening; Understanding of statistics and familiarity with STATA or similar data analysis software; Strong interpersonal skills. Ability to communicate effectively with study participants and the research staff; Proficiency with Microsoft Office; Knowledge of medical terminology preferred; Organized, detail-oriented, self-directed, and dependable; Strong time management skills and ability to prioritize workload; Ability to work as part of a team; Able to learn VA regulations and procedures regarding research; General knowledge of research procedures gained through education or experience.
ABOUT PALO ALTO VETERANS INSTITUTE FOR RESEARCH (PAVIR) PAVIR facilitates research and education activities conducted at the VA Palo Alto Health Care System. At PAVIR we work with more than 160 uniquely talented medical scientists. We recruit and retain talented employees who believe in making a difference in the lives of others through innovative health research.
READY TO JOIN OUR RESEARCH TEAM? If you feel that you would be right for this job, please fill out our initial 3-minute, mobile-friendly application. We look forward to meeting you! PAVIR is a nonprofit foundation affiliated with the Veterans Affairs Palo Alto Health Care System (VAPAHCS). As a condition of employment, all PAVIR employees are required to have an approved appointment with VAPAHCS and complete a background check before they can commence work. PAVIR is pleased to be an Equal Opportunity Employer. Minorities, Women, Veterans, and Individuals with a Disability are encouraged to apply.
We welcome and encourage diversity in the workplace regardless of race, color, religion, age, gender, interactionual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need special assistance or an accommodation to apply for a posted position, please contact - Human Resources department. Job Posted by Applicant Pro
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 research 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 Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI. The research team is committed to collaboration with the wider research community.
At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents.
We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research. 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: Ph. D. /Master's degree in computer science, artificial intelligence, machine learning, or a related technical field. Strong publication record in top AI venues like Neur IPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, and ICCV.
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. Experience training large language models. Experience mentoring and advising other researchers.
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 #: JR214107pca3lyuhf
