applied scientist, agi foundations Jobs in New York United States

applied scientist, agi foundations

associate researcher i- immunology and immunotherapy Jobs in New York United States

associate researcher i- immunology and immunotherapy

electrical engineer or computer scientist (ph.d.) Jobs in New York United States

electrical engineer or computer scientist (ph.d.)

energy research scientist Jobs in New York United States

energy research scientist

food scientist Jobs in New York United States

food scientist

research scientist

DataAnnotation

<div>
 We are looking for a Research Scientist (Chemistry) to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level understanding of chemistry. Other related fields include, but are not limited to: Research and Development Chemist, Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process Development Chemist.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots complex chemistry questions and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Solid knowledge of general, organic, and physical chemistry concepts
 </li>
 <li>
 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #chem
</div>

Research Scientist (Chemistry)

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots complex physics problems and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
 </li>
 <li>
 A current, in progress, or completed Master's and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #physics
</div>

Energy Research Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Sr. Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities. 
 
As an Sr. Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. 
 
Key job responsibilities 
Key job responsibilities 
Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI 
 
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results 
 
Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems 
 
Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports 
 
About the team 
We are passionate scientists dedicated to pushing the boundaries of innovation in Gen AI with focus on Software Development use cases.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning</li><li>Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback</li><li>Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, AGI Foundations

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon&rsquo;s global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazon&rsquo;s human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science products and services to facilitate Amazon&rsquo;s growth and development of talent across all of our businesses and locations around the world.
 
 
Our vision in GTM Science is to use machine learning and science to scalably solve organizational challenges focused on talent movement, talent differentiation, employee-role matching, promotion processes, organizational design and succession planning, diversity and inclusion, and new areas that address the evolving needs of our diverse employee base.
 
 
We are looking for an experienced machine learning scientist to work on talent science products that draw from a range of fields such as algorithmic fairness, natural language processing, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning and others on rich and novel datasets. The role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate these models into production systems.
 
 
As an applied scientist in GTM Science, you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems in an unconventional domain, and be encouraged to patent and publish your contributions. If this kind of work excites you, reach out to us to find out more!
 
 
Key Responsibilities
 
<ul><li>Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
</li><li>Develop fair predictive models to understand important business and people-centered outcomes
</li><li>Productionize ML and science models at the scale of Amazon
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist , AMX Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities. 
 
As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. 
 
Key job responsibilities 
Key job responsibilities 
Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI 
 
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results 
 
Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems 
 
Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports 
 
About the team 
We are passionate scientists dedicated to pushing the boundaries of innovation in Gen AI with focus on Software Development use cases for LLMs.
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in professional software development</li><li>Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members</li><li>Experience building state of the art reinforcement learning pipelines for LLMs</li><li>Knowledge about latest important benchmarks and LLM-based algorithms applied to software development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, AGI Foundations

Lensa

<div>
 Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for City of New York. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
 
 
 
 Job Description
 
 
 
 The Bureau of Mental Health&rsquo;s (BMH) mission is to improve mental health and wellness for people in New York City, and to eliminate racial and other long-standing societal disparities by providing services, resources, and opportunities to New Yorkers that are grounded in accurate, data-driven information that fosters community participation, thus reducing the stigma around mental health. This includes procuring and monitoring more than 500 contracted programs that provide mental health treatment, psychiatric rehabilitation, supportive housing, care coordination and advocacy services, and operating court-mandated Assisted Outpatient Treatment (AOT), Single Point of Access (SPOA) for mobile treatment and care coordination, and the NYC Supportive Treatment and Recovery Team (NYC START) for people with first episode psychosis.
 
 
 
 Position Summary:
 
 
 
 The Office of Research and Evaluation (ORE) supports Bureau Leadership and Bureau Offices by providing surveillance, needs assessment research, program evaluation, data system development, and maintenance, and program data reporting to support the work of the bureau. The Data Analyst will directly support the work of all the offices in the Bureau of Mental Health with data management and analysis of population level and program-specific data. In addition, they will inform the larger public through publications and presentations.
 
 
 Job Duties and Responsibilities: The Data Analyst will:
 
 
 <ul>
 <li>
 Collaborate with program staff and IT to develop and refine data collection instruments and improve data systems and processes.
 </li>
 <li>
 Work with program stakeholders to develop specific and measurable program metrics for operational and performance management. Provide ongoing recommendations for data-driven tracking and continuous improvement of program outcomes, including clubhouse, NYC START, SPOA, etc.
 </li>
 <li>
 Process, clean, and prepare data for analysis and reporting; data check; document data management procedures (e.g., data dictionaries, business rules); monitor data quality, identify issues, and work with program staff to resolve.
 </li>
 <li>
 Prepare routine reports and presentations of program performance with data graphs/service trends; Clearly communicate (oral, written, and through data visualizations) results of analyses to program staff/leadership and other non-technical audiences.
 </li>
 <li>
 Maintain and update existing dashboards as needed using software such as Power BI; Assist in developing new dashboards as needed.
 </li>
 <li>
 Respond quickly and accurately to ad hoc data requests for internal (e.g., Directors, Assistant Commissioners) and external audiences (e.g., public hearings, City Hall).
 </li>
 <li>
 Work with leadership and program stakeholders on interpretation and limitations of data analysis results and provide actionable recommendations.
 </li>
 <li>
 Develop training materials and conduct trainings on updates to the data collection system as needed. Create guidance documents for internal staff and external users detailing updates to the system.
 </li>
 <li>
 Manage multiple projects and collaborate with other research and program staff.
 </li>
 <li>
 Incorporate an equity lens in all aspects of work.
 </li>
 <li>
 Conduct special projects and perform other duties as assigned.
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Experience processing, cleaning, manipulating, and analyzing large program or administrative datasets using statistical software such as SAS, SQL, and/or R is required.
 </li>
 <li>
 Ability to work independently and problem solve.
 </li>
 <li>
 Experience in querying, cleaning, and maintaining large relational databases.
 </li>
 <li>
 Willingness to be flexible and work as part of a team.
 </li>
 <li>
 Experience working with an electronic health, social service, or case management record system such as Maven.
 </li>
 <li>
 Experience with data visualization software such as Power BI, and/or Tableau.
 </li>
 <li>
 Excellent interpersonal, analytical, research, presentation, written and oral communication skills.
 </li>
 <li>
 Experience in quantitative analytical methods.
 </li>
 <li>
 Experience with public mental health systems and recovery-oriented practices.
 </li>
 <li>
 Strong organizational skills.
 
 
 </li>
 </ul>
 
 Why You Should Work For Us:
 
 
 
 <ul>
 <li>
 Loan Forgiveness: As a prospective employee of the City of New York, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education&rsquo;s website (https://studentaid.gov/pslf/)
 </li>
 <li>
 Benefits: City employees are entitled to unmatched benefits such as:
 </li>
 <li>
 a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment.
 </li>
 <li>
 additional health, fitness, and financial benefits may be available based on the position&rsquo;s associated union/benefit fund.
 </li>
 <li>
 a public sector defined benefit pension plan with steady monthly payments in retirement.
 </li>
 <li>
 a tax-deferred savings program and
 </li>
 <li>
 a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers.
 </li>
 <li>
 Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home.
 </li>
 <li>
 Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work.
 
 
 </li>
 </ul>
 Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise.
 
 
 Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers!
 
 
 The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549.
 
 
 
 Why You Should Work For Us:
 
 
 
 <ul>
 <li>
 Benefits: City employees are entitled to unmatched benefits such as:
 </li>
 <li>
 a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment.
 </li>
 <li>
 additional health, fitness, and financial benefits may be available based on the position&rsquo;s associated union/benefit fund.
 </li>
 <li>
 a public sector defined benefit pension plan with steady monthly payments in retirement.
 </li>
 <li>
 a tax-deferred savings program and
 </li>
 <li>
 a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers.
 </li>
 <li>
 Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home.
 </li>
 <li>
 Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work.
 
 
 </li>
 </ul>
 Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise.
 
 
 Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers!
 
 
 The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549.
 
 
 CITY RESEARCH SCIENTIST - 21744
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
 
 
 </li>
 </ul>
 To be appointed to Assignment Level II and above, candidates must have:
 
 
 <ul>
 <li>
 A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
 </li>
 <li>
 A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
 </li>
 <li>
 Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
 
 
 </li>
 </ul>
 
 Note:
 
 
 
 Probationary Period
 
 
 Appointments to this position are subject to a minimum probationary period of one year.
 
 
 Additional Information
 
 
 The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
 
 
 Salary Min: $ 87,743.00
 
 
 Salary Max: $100,904.00
 
 
 If you have questions about this posting, please contact support@lensa.com
</div>

Data Analyst, Bureau of Mental Health

Mount Sinai Health System

<div>Description
The Icahn School of Medicine at Mount Sinai (ISMM) is an international leader in medical and scientific training, biomedical research, and patient care. It is the medical school for the Mount Sinai Health System, which includes seven hospital campuses, and has more than 5,000 faculty and nearly 2,000 students, residents and fellows.
The Associate Researcher I is a laboratory research position, responsible for independent conduct of routine and standardized experiments. The individual assists in the interpretation of research outcomes, performs assays to support research studies, and assists in the clerical and supply aspects of the laboratory environment. This position is suitable for candidates who are willing to commit for a minimum period of 2 years. 
Responsibilities<ul><li>
Conducts routine and standardized experiments using advanced research techniques specific to subject matter of the research project.</li><li>
Analyzes and assists in interpreting results.</li><li>
Analyzes and assists in interpreting laboratory results.</li><li>
Performs assays to support research studies.</li><li>
Maintains laboratory environment and assists in the upkeep of appropriate inventory; may include ordering of supplies.</li><li>
Logs and tests samples; prepares and submits laboratory materials and specimens for shipment.</li><li>
Assists in new and unexpected research experiments and techniques.</li><li>
Assists in the collection, analysis and review of experimental data for publication and presentation.</li><li>
Performs other related duties.</li></ul> 

Qualifications<ul><li>
Bachelors or Masters degree in science or related field required</li><li>
No experience required. One year of research experience preferred.</li></ul> 
Employer Description
Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. 
Compensation
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58661 - $77499.84 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div>

Associate Researcher I- Immunology and Immunotherapy

Explore 220+ Research scientist in New York United States this November. Find roles across top companies and apply now to boost your career.