Science Jobs are career positions specifically within the wide domain of science, spanning across various disciplines including biology, chemistry, physics, and environmental science, among others. These jobs often feature a focus on research, development, innovation, and exploration. They can be found within academic institutions, private sector companies, research organizations, and government agencies. Characteristics of science jobs include a strong emphasis on analytical skills, problem-solving, critical thinking, and a commitment to continuous learning to keep pace with evolving scientific knowledge and technological advancements.
Science Jobs refer to employment opportunities within the various fields of science, ranging from entry-level positions to advanced research and academic roles. Key features of these jobs often include conducting experiments, data analysis, problem-solving, and innovation in sectors like biology, chemistry, physics, and environmental science. Science Jobs demand a strong educational background and typically offer the potential for contributing to technological advancements and understanding of the natural world. These positions are pivotal in driving scientific progress and can be found in laboratories, universities, and industry settings.
Institute was founded as the nation’s first. Our Neuroscience Institute pioneered international protocol for the treatment of traumatic brain injury. Here, top nurses join a storied tradition and make their own mark on history. Our nurses experience one of the highest case mix indexes, ranging from post-operative care for patients following neurosurgery to care of acute head trauma, intracerebral hemorrhages and other conditions.
Our nurses are vital members of high profile teams and leaders of safe, compassionate care. Highest ever patient and employee satisfaction scores. Flexible scheduling. Shared governance and nurse autonomy. These are just a few of the reasons top neurology nurses
join our team. You’ll work with the brightest minds in healthcare to make tomorrow better for countless human beings. It’s the kind of nursing that requires an unwavering commitment to excellence and a constant spirit of professionalism.
And it’s your opportunity to enjoy flexible scheduling, shared clinical decision-making, inspirational leadership, supportive colleagues and much more. Now, you have the opportunity to join us. This is a full time 12 hour day shift position at New York-Presbyterian/Columbia University Medical Center. Preferred Criteria Prior Neurology or Neurosurgical experience Two years of acute care nursing experience Required Criteria Bachelor’s Degree in Nursing
Current New York State RN license (or willingness to obtain) BCLS certification Join a healthcare system where employee engagement is at an all-time high.
Here we foster a culture of respect, diversity, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today. __________________ 2021 " Employees' Choice Awards: Best Places to Work" - Glassdoor 2021 " Best Workplaces in Health Care & Biopharma" - Fortune 2020 " America's Best Employers in New York State" - Forbes 2020 " Working Mother 100 Best Companies" - Working Mother 2020 " Best Companies for Multicultural Women" - Working Mother 2020 " Best Workplace for Men in Nursing" - American Association for Men in Nursing Discover why at: nyp.
org/careers New York-Presbyterian Hospital is an equal opportunity employer. Salary Range: $112,033-$122,858/Annual It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person.
Join our team and discover where amazing works. For more details: jobs-search. org/sciences_new-york-r782074/clinical-nurse-i-rn-neurology-nights-new-york_i1976182279
Science Jobs refer to a broad category of careers focused on the pursuit of scientific research, practical applications of scientific knowledge, and the advancement of technology. These roles are typically found in sectors such as healthcare, engineering, environmental science, and pharmaceuticals. Key characteristics of Science Jobs include a strong emphasis on problem-solving, analytical skills, and a solid foundation in scientific principles. Individuals in these positions often engage in data analysis, experimentation, and innovation to contribute to scientific understanding and development. The field is dynamic and constantly evolving, offering a diverse range of opportunities for specialization and advancement.
the effects of maternal psychiatric illness and medication use during pregnancy on offspring brain and behavioral development. A degree in a public health related field is required, with preferred experience in perinatal studies and in neuroscience.
There will be many opportunities for publications and for building a future research career.This position is not funded through a T32 training grant; foreign applicants with the appropriate work authorizations/visas are eligible. The successful candidate will possess excellent data analysis skills including knowledge of statistical principles, multiple software packages (e. g. R, SAS, SPSS) as well as strong written and verbal communication
skills, including experience with writing and publishing manuscripts. Duties/responsibilities: The candidate will participate in and complete research projects related to four NIH-funded studies.
Responsibilities include collection and analysis of data related to these grants, and presenting and publishing findings in high impact journals. At the same time, the candidate will be encouraged to use these studies, and the academic infrastructure, to develop their own research focus and eventually obtain independent funding (e. g. K Award). Minimum Qualifications: A Ph D in epidemiology, neuroscience, or related clinical or public health field is required. Preferred Qualifications: The ability
to work with large datasets is also preferred. Working knowledge of related fields (e.
g. neuroscience, genetics) is recommended but not a requirement. Experience with administrative components of research (e. g. preparing IRB documents and grant submissions) is also strongly preferred. To Apply: Submit a resume and cover letter on our website at: nyspi. /jobs/. Only applications submitted through our website will be considered. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits.
Excellent Benefits Package. Employer/Minority/Women/Disabled/Veteran Employer. VEVRAA 41 CFR 60-300.5(a) compliant. Job Posted by Applicant Pro
Science Jobs are career positions specifically within the wide domain of science, spanning across various disciplines including biology, chemistry, physics, and environmental science, among others. These jobs often feature a focus on research, development, innovation, and exploration. They can be found within academic institutions, private sector companies, research organizations, and government agencies. Characteristics of science jobs include a strong emphasis on analytical skills, problem-solving, critical thinking, and a commitment to continuous learning to keep pace with evolving scientific knowledge and technological advancements.
Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation
experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive Firm wide
initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills Ph D in a quantitative discipline, e.
g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with three years of industry experience Or an MS with at least five years of industry or research experience in the field. Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.
g. Tensor Flow, Py Torch, Num Py, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal Same Posting Description for Internal and External Candidates JPMorgan Chase & Co.
one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J. P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents and perspectives that they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, interactionual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. (If you are a US or Canadian applicant with a disability and wish to request an accommodation to complete the application process, please contact us by calling the Accessibility Line (US and Canada Only) -xyz X and indicate the specifics of the assistance needed.
) We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
Additional details about total compensation and benefits will be provided during the hiring process. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary New York, NY $147,250.00 - $260,000.00 / year; Seattle, WA $147,250.00 - $260,000.00 / year; Palo Alto, CA $147,250.00 - $260,000.00 / year
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. Job Title: NYL Internship: Data Scientist New York Life's AI and Data team , led by Chief Data and Analytics Officer Don Vu delivers innovative data, insights and AI solutions for the organization.
Our AI team works on a diverse portfolio of AI and Gen AI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation
to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.
The AI team is looking to hire summer interns who are graduate students or recent graduates. The internships start in May / June with full time hours (40 hours per week). Ideal candidates have or are in the process of obtaining a Master's or Ph D in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative. As a member of our team, you will have the opportunity to
gain real-life work experience, develop your skills, and begin building a network in a professional environment.
Qualifications Recipient or in process of obtaining a Master's or Ph D in Statistics, Data Science, Computer Science, Applied Mathematics or another field which is highly analytical / quantitative in nature Experience with standard machine learning / statistical techniques: GLM, Logistic Regression, GBM, Random Forests, Experimental Design, etc. Exposure to deep learning methods Excellent skills in Python or R Good feature engineering skills, ability to use SQL if needed Strong business sense Self-directed and independent Compensation is competitive.
Relocation / housing support will not be provided. The position is located in Manhattan (Madison and 27th, walking distance from Penn Station and Grand Central Station) on a hybrid schedule for 10 - 12 weeks. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life.
" To learn more, please visit Linked In , our Newsroom and the Careers page of . Salary range: $40 per hour Overtime eligible: Exempt Discretionary bonus eligible: No Sales bonus eligible: No Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation.
We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life. " To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID: 89478 Nearest Major Market: Manhattan Nearest Secondary Market: New York City Job Segment: Computer Science, Summer Internship, Social Media, Intern, Scientific, Technology, Entry Level, Marketing, Engineering Requisition #: 107507xyz X6ahf9io63
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. Job Title: NYL Internship: Data Scientist New York Life’s AI and Data team , led by Chief Data and Analytics Officer Don Vu delivers innovative data, insights and AI solutions for the organization.
Our AI team works on a diverse portfolio of AI and Gen AI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation
to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.
The AI team is looking to hire summer interns who are graduate students or recent graduates. The internships start in May / June with full time hours (40 hours per week). Ideal candidates have or are in the process of obtaining a Master’s or Ph D in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative. As a member of our team, you will have the opportunity to
gain real-life work experience, develop your skills, and begin building a network in a professional environment.
Qualifications Recipient or in process of obtaining a Master’s or Ph D in Statistics, Data Science, Computer Science, Applied Mathematics or another field which is highly analytical / quantitative in nature Experience with standard machine learning / statistical techniques: GLM, Logistic Regression, GBM, Random Forests, Experimental Design, etc. Exposure to deep learning methods Excellent skills in Python or R Good feature engineering skills, ability to use SQL if needed Strong business sense Self-directed and independent Compensation is competitive.
Relocation / housing support will not be provided. The position is located in Manhattan (Madison and 27th, walking distance from Penn Station and Grand Central Station) on a hybrid schedule for 10 – 12 weeks. Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.
” To learn more, please visit Linked In , our Newsroom and the Careers page of . Salary range: $40 per hour Overtime eligible: Exempt Discretionary bonus eligible: No Sales bonus eligible: No Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation.
We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life. ” To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID: 89478
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. Job Title: NYL Internship: Data Scientist New York Life's AI and Data team , led by Chief Data and Analytics Officer Don Vu delivers innovative data, insights and AI solutions for the organization.
Our AI team works on a diverse portfolio of AI and Gen AI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation
to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.
The AI team is looking to hire summer interns who are graduate students or recent graduates. The internships start in May / June with full time hours (40 hours per week). Ideal candidates have or are in the process of obtaining a Master's or Ph D in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative. As a member of our team, you will have the opportunity to
gain real-life work experience, develop your skills, and begin building a network in a professional environment.
Qualifications Recipient or in process of obtaining a Master's or Ph D in Statistics, Data Science, Computer Science, Applied Mathematics or another field which is highly analytical / quantitative in nature Experience with standard machine learning / statistical techniques: GLM, Logistic Regression, GBM, Random Forests, Experimental Design, etc. Exposure to deep learning methods Excellent skills in Python or R Good feature engineering skills, ability to use SQL if needed Strong business sense Self-directed and independent Compensation is competitive.
Relocation / housing support will not be provided. The position is located in Manhattan (Madison and 27th, walking distance from Penn Station and Grand Central Station) on a hybrid schedule for 10 - 12 weeks. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life.
" To learn more, please visit Linked In , our Newsroom and the Careers page of . Salary range: $40 per hour Overtime eligible: Exempt Discretionary bonus eligible: No Sales bonus eligible: No Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation.
We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life. " To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID:89478PDN-9a22deef-36d8-46e9-911a-b8cb330c10a1
Injectable Aesthetics, Dermo-cosmetics, and Therapeutic Dermatology. Since our foundation in 1981, we have dedicated our focus and passion to the human body's largest organ - the skin - meeting individual consumer and patient needs with superior outcomes in partnership with healthcare professionals.
Because we understand that the skin we're in shapes our lives, we are advancing dermatology for every skin story. We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration. Above all, they must be passionate about doing something meaningful for consumers, patients, and the healthcare
professionals we serve every day. We aim to empower each employee and promote their personal growth while ensuring business needs are met now and into the future. Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee.
At Galderma, we actively give our teams reasons to believe in our bold ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact. Job Title: Account Manager Location: Queens, NYJob Description The role of the Account Manager will implement sales/direct sales plans and processes
to maximize sales opportunity through promotion and sale of technical and/or nontechnical products and/or services and solutions directly to current and new end customers.
Key Responsibilities Implement Sales / Direct Sale plans and processes to maximize sales opportunity through promotion and sale of technical and/or nontechnical products and/or services and solutions directly to current and new end customer's Track and monitor lead generation plans to ensure a substantive sales opportunity pipeline Implement and execute Sales / Direct Sales processes and policies ensuring product/brand sales volumes and profit targets are met Collaborate on Sales / Direct Sales activities informing customers of new product/service introductions and prices Preferred Skills and Qualifications Bachelor's Degree or equivalent experience 2+ years of combined sales and customer service Strategic and consultative sales background Prior experience in buy and bill sales What We Offer in Return You will be working for an organization that embraces diversity & inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base.
Next Steps If your profile is a match, we will invite you for a first virtual conversation with the recruiter.
The next step is a virtual conversation with the hiring manager The final step is a panel conversation with the extended team Our people make a difference At Galderma, you'll work with people who are like you. And people that are different. We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos is the perfect environment for people to thrive and excel in what they do. Employer's Rights: This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties.
You will be evaluated in part based on your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not an employment contract, and either you or the employer may terminate employment at any time, for any reason. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
ensuring that it functions properly and safely on a 24hour basis. Reviews the medical record to ensure compliance. Conduct environmental rounds and follow up with resolution. Assigns duties to licensed personnel and supervises ancillary personnel. Ensures timely completion and submission of all unit reports.
Displays ownership of their unit, supervising on 24-hour basis and communicating with staff on all 3 shifts to be fully apprised of all events taking place backsses need for additional or needed equipment. Oversees the care and management of patients/residents and ensures that appropriate care and treatment are provided Facilitates inter-disciplinary care planning meetings and assists
in developing the plan of care Oversees the provision of care for licensed and non-licensed staff Collaborates with medical and other inter-disciplinary team members to ensure clinical management is optimal Performs audits as required Participates in discharge planning Oversees and Responds to patient/resident/family concerns, issues or complaints Ensures Accidents/Incidents are documented in Occurrence Report and makes recommendations for corrective action.
Notifies D. N. S. and Security of alleged abuse Participates in investigation Gathers necessary documentation for NYS DOH and internal investigations Ensures resolution Responsible for unit staffing plan, developing work schedules
for unit employees to ensure appropriate staffing levels and staffing mix are maintained.
Communicates staffing needs and scheduling requirements to appropriate staff for implementation and follows up to ensure staffing is appropriate. Oversees and manages clinical care and emergency response Evaluates all admissions and ensures compliance of admission policy and procedure Responds to all residents reported to have had an occurrence and backss for potential injury Ensures all central line and intravenous therapies are completed as per policy Responds to all emergency codes and provides appropriate direction Manages performance of direct and indirect reports.
Provides orientation, coaching, training and development. Takes corrective action when necessary. Utilizes corporate services resources such as Human Resources, Compliance, Legal, Finance, Information Services, Marketing, etc. as appropriate. Ensures appropriate staffing and resources to support department/agency services. Monitors productivity throughout the year and participates in annual budget preparation. Interviews and participates in the selection process for qualified staff in collaboration with Human Resources and department management. BSN from accredited school of nursing preferred or equivalent combination of education and experience from which comparable knowledge and ability can be acquired Minimum of 4 years clinical experience, including at least 2 years of management experience, preferably in a geriatric setting.
For more details: jobs-search. org/nurse-manager_new-york-r782074/nurse-manager-new-york_i1966603154
needs, develops courses of action including treatment plan and outcomes and implements the home physical therapy care plan. Maintains patient records by completing all required VNS Health documentation and ensuring compliance to Agency standards and policies.
Monitors patient progress through backssment of care provided, including need for revision to treatment plan, outcomes and discharge plan as appropriate. Counsels caregivers and family by providing education and consultation for related patent care issues, including referrals within and outside of VNS Health as necessary Assists patients with therapeutic interventions and activities of daily living, which may require positioning,
moving, transferring and lifting patients of varying body sizes and physical conditions, with and without assistance and as appropriate, instructing, demonstrating and verifying capabilities of family members and/or paraprofessionals.
Ability to use and assist patient with use durable medical equipment as a component of the plan of care, including but not limited to wheelchairs, patient transfer lifts, ambulatory devices, slings, splints, orthoses, prostheses, and exercise/strengthening equipment. Travels to patients’ homes and/or other facilities with varying environments (e. g. elevated buildings, walk-ups, care facilities, single/multiple family homes, presence of pets, etc. ) using
approved transportation options to deliver direct care to the patient.
Transports and utilizes required technology devices (tablet), infection control materials and supplies using VNS Health designated/supplied carrying case (backpack) weighing approximately 15 – 20 lbs to and from patient homes/care facilities, VNS Health offices and therapists’ home. Provides care in accordance with Agency policies, practices, procedures and standards, including professional practice standards of care, which may require standing, stooping, sitting, crouching, twisting, reaching, bending and stretching to deliver patient care. Evaluates the need for equipment by analyzing client requirements, identifying devices needed, ordering equipment and instructing patient/caregivers/family in its safe use.
Manages assigned caseload; provides physical therapy services to patients as per plan of care backss cases for appropriateness of Physical Therapy Assistant (PTA) services. Makes recommendation if appropriate. Participates in VNS Health meetings including but not limited to, interdisciplinary team meetings, inservices and training programs, rehab services meetings and caseload reviews. Serves as Coordinator of Care (COC) on selected cases, which meet criteria for PT only cases.
Participates in special projects and performs other duties as assigned. Qualifications Licenses and Certifications: New York State License and current registration in Physical Therapy required. Valid driver's license may be required, as determined by operational/regional needs. Education: Bachelor's Degree in Physical Therapy from a program approved by the New York State Department of Education required. Work Experience: Minimum of one year physical therapy experience or successful completion of the probationary period as a VNS Health Rehab Intern preferred. Basic PC skills preferred. Bilingual skills may be required, as determined by operational needs.
Pay Range per Visit: If you are applying to the per diem per visit version of this job, the hiring range is as follows: $70- $75 per visit. For more details: jobs-search. org/physical-therapist_new-york-r782074/physical-therapist-fulltime-manhattan-region-new-york_i1966526809
and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art,
generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, and image processing. We partner with product, tech and design teams to deliver internal applications based on these solutions that drive efficiency in our business and data analytics teams, as well as customer-facing applications that enhance the customer experience.
You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI conferences. In this role, you will: Train,
fine-tune, and customize large language models across multiple modalities--text, speech, and vision--for use in downstream applications such as dialogue and image processing.
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Py Torch, Hugging Face, Spark, Lang Chain and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Contribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) The Ideal Candidate is: Innovative.
You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further.
You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining Ph D, with an expectation that required degree will be obtained on or before the scheduled start date At least 1 year of experience in open source programming languages for large scale data analysis At least 1 year of experience with machine learning At least 1 year of experience with relational databases Preferred Qualifications: Master's Degree in " STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or Ph D in " STEM" field (Science, Technology, Engineering, or Mathematics)At least 1 year of experience working with AWSAt least 3 years' experience in Python for large scale data analysis At least 3 years' experience with machine learning At least 3 years' experience with SQLCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.
Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $161,900 - $184,800 for Data Science Ph DCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to interaction (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, interactionual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.
Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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(COPSSC). PDN-9ad9c0eed-14b0f28a21aa
insights that enable marketers to develop marketing programs. You will design, prototype, and build out analysis pipelines to support initiatives and Marketing campaigns at scale. You will perform analysis, design, and execute on experimentation, and conduct incrementally measurement analysis to inform on strategic decisions of the marketing programs across the entire Ads Marketing space.
In this role, you will build analytical frameworks and measurement capabilities to generate data driven insights that lead business growth. You will present and communicate to marketing partners and leadership to inform on decision making. Know the user. Know the magic. Connect the two. At its core,
marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental.
And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. The US base salary range for this full-time position is $124,000-$182,000 bonus equity benefits. 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: Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a quantitative field, or equivalent practical experience.
2 years of experience in a data science field. Experience with statistical software (e. g. R, Python, MATLAB) and database languages (e. g. SQL). Experience leveraging data insights into storytelling for business stakeholders. Preferred qualifications: Ph D in Statistics or a related quantitative discipline. 2 years of experience in statistical data analysis (e. g. generalized linear models, multivariate analysis, clustering or segmentation, and sampling methods). Experience in controlled experiment design and causal inference methods. Experience with machine learning on computing systems (e.
g. Hadoop, Map Reduce, or a similar system). Ability to prioritize requests, teach others, learn techniques, partner in a environment with competing demands, collaborate with stakeholders, and communicate analysis insights to non-technical audiences. Ability to take initiative with excellent leadership and communication skills. - Work with large, complex data sets and solve complex analysis problems, applying advanced analytical methods (e. g. statistical and machine learning models). Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs. - Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed. - Interact cross-functionally, making business recommendations (e. g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities. Requisition #: 128627711091319494pca3lyuhf
