as senior administrative coordinator - headquarters (hq)

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as senior administrative coordinator - headquarters (hq) Jobs in New York

senior scientist

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
At Aetna&reg;, part of CVS Health, we proudly serve more than 26 million medical members through our broad range of health plan offerings. We're committed to delivering a simpler, more meaningful, and personal health care experience to each of them.
As a Senior Data Scientist you will be working on a Medicare Analytics team that will help make business decisions and, you will play a critical role in supporting our Aetna members and our business.
Come work at a place where innovation is encouraged and impact is real. You&rsquo;ll have the opportunity to build models, experiment with creative ideas, and introduce new approaches to solving complex Member Experience challenges and making a direct difference in our members lives.
Responsibilities:<ul><li>
Model Development: Develop and implement advanced machine learning models for forecasting and predictive analytics. As a key member of our team, you will be responsible for developing and standardizing forecasting applications using time series techniques to provide forward-looking insights to our members, to improve Member experience</li><li>
ML-Ops: Develop, deploy and maintain machine learning models in production, ensuring robust and scalable solutions.</li><li>
Collaboration: Work closely with cross-functional teams, including product managers, engineers, and business analysts, to understand business needs and deliver data-driven solutions.</li><li>
Innovation: Stay up-to-date with the latest advancements in data science and machine learning, and apply them to improve existing processes and models.</li><li>
Reporting: Create and present detailed reports and visualizations to communicate findings and recommendations to stakeholders.</li><li>
Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets</li><li>
Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li></ul> 
Required Qualifications<ul><li>
3+ years of relevant Data Science experience</li><li>
3+ years' experience programming in Python</li><li>
3+ years' experience programming in SQL</li><li>
2+ year experience working with Cloud Technology (GCP, AWS or Azure)</li><li>
1+ year experience deploying models in production</li></ul> 
Preferred Qualifications<ul><li>
Experience in Google Cloud/BigQuery</li><li>
2 plus years of healthcare or health insurance experience</li><li>
Strong problem-solving experience with a history of making business impact</li><li>
Knowledge of Time Series forecasting techniques, and Machine learning methods including classics like SARIMA, exponential smoothing, time series regressions, and machine learning methods like LSTM, XGBoost, etc</li></ul> 
Education<ul><li>
Bachelor's degree or equivalent work experience in Business Analytics, Economics, Physics, Engineering, Mathematics, Statistics, Computer Science, or related discipline.</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 04/07/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Data Scientist

Mount Sinai Health System

<div>Description
We are seeking a highly motivated, detail-oriented Senior Scientist with a PhD and/or a strong background in genomics and immunology to join our multidisciplinary team at the Tisch Cancer Institute. Our group investigates the molecular and cellular mechanisms regulating immune compartments in myeloproliferative neoplasms (MPNs) and acute myeloid leukemia (AML), using state-of-the-art single-cell NGS platforms.<div> 
The successful candidate will drive the day-to-day execution of genomics assays, including: 
<ul><li>Single-cell CITE-seq and other multi-omics assays</li><li>Immune repertoire (TCR/BCR) sequencing</li><li>Single-cell DNA and multi-omics assays</li><li>Bulk sequencing (RNA-seq, WGS/WES) as needed</li><li>RT-qPCR, molecular biology, and functional assay workflows</li></ul></div> 
This position offers an opportunity to work at the interface of translational hematology, immunology, and computational genomics, in close collaboration with clinicians, bioinformaticians, and trainees. 
The scientist will report directly to Dr. Md Babu Mia, lead of the Computational Biology and Machine Learning program within the MPN team. 
Responsibilities
Genomics &amp; Single-Cell Assays<ul><li>
Plan, perform, and troubleshoot end-to-end NGS workflows, including:<ul><li>
Single-cell CITE-seq (RNA + protein) and other antibody-tagged assays</li><li>
TCR/BCR repertoire library preparation</li><li>
Single-cell DNA and Protein assays for clonal architecture analysis</li><li>
Bulk RNA-seq and targeted sequencing panels</li><li>
Validation of NGS outputs using molecular and functional assays</li></ul></li><li>
Perform sample and library QC, including cell counts/viability, nucleic acid quality assessment (TapeStation, Qubit), library quantification, and thorough documentation of all metrics</li></ul> 
Primary Human Samples &amp; Hematology Focus<ul><li>
Isolate, process, and bank primary human hematopoietic and immune cells</li><li>
Operate multicolor flow cytometry for immunophenotyping and cell sorting to support genomics experiments</li><li>
Adhere to institutional, IRB, and HIPAA guidelines for handling patient-derived samples, including accurate chain-of-custody and de-identification procedures</li></ul> 
Collaboration, Data Handling &amp; Basic Analysis<ul><li>
Coordinate with genomics core facilities and external vendors for sequencing runs, including sample submission, run tracking, and communication of QC outcomes</li><li>
Organize and manage NGS data and metadata (FASTQs, count matrices, sample sheets) in collaboration with computational team members</li><li>
Perform basic data handling and QC, such as generating reports on read counts, mapping rates, and cell-level QC metrics using established pipelines</li><li>
Work closely with bioinformaticians and statisticians to ensure experimental design and metadata capture support robust downstream analyses</li></ul> 
Laboratory Operations &amp; Documentation<ul><li>
Maintain detailed laboratory notebooks, SOPs, and digital records for all experiments, protocols, and sample inventories</li><li>
Contribute to optimization and standardization of protocols for single-cell and bulk assays, including pilot studies and method comparisons</li><li>
Assist in training and mentoring students and junior staff in genomics workflows and good laboratory practice</li></ul> 
Scientific Contributions<ul><li>
Contribute to write-ups for manuscripts, presentations, and grant applications</li><li>
Present progress at lab meetings, project meetings, and collaborative discussions</li><li>
Support preparation of manuscripts for high-impact journals and abstracts for national conferences 
</li></ul>
Qualifications<ul><li>
 Ph.D in in Molecular Biology, Hematology, Immunology, Cancer Biology, Genomics, or a closely related biomedical discipline.</li><li>
 Minimum five years of experience with scientific investigation.</li><li>
 Must have demonstrated outstanding achievement in a field of research</li><li>
 Must have contributed to a number of peer-reviewed publications, inventions or the like, at least some of which have had a major impact on advancing the field or discipline.</li><li>
 Prior experience successfully securing external grant funding is highly desirable.</li></ul>
Preferred Qualifications:<ul><li>
Postdoctoral experience.</li><li>
Substantial hands-on laboratory experience in NGS-based assays, with proficiency in several of the following (and strong interest in learning the rest):<ul><li>
CITE-seq or related single-cell RNA + protein platforms</li><li>
Bulk RNA-seq and/or DNA sequencing (WGS/WES, targeted panels)</li><li>
RT-qPCR, standard molecular biology, and functional assay techniques</li></ul></li><li>
Solid conceptual knowledge of hematology and immunology, ideally in the context of blood cancers or immune dysregulation</li><li>
Experience working with primary human cells, including isolation, cryopreservation, and basic culture</li><li>
Proficiency in multicolor flow cytometry, including instrument operation, compensation, panel design, and analysis.</li><li>
Comfort with basic biostatistics and computational biology concepts</li><li>
Strong organizational skills, meticulous attention to detail in sample tracking and metadata, and rigorous adherence to SOPs</li><li>
Demonstrated ability to work independently while functioning effectively in a collaborative, interdisciplinary environment</li><li>
Track record of contribution to peer-reviewed publications in genomics, immunology, or hematology</li><li>
Eagerness to learn new technologies and stay current with emerging genomics platforms</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 - $125008.22 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>

Senior Scientist, Genomics & Single-Cell Technologies - Hematology & Medical Oncology

Lyft

<div>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.

As a Data Scientist on the Risk Solutions team, you will drive a mission critical to both the safety of our community and the financial resilience of our platform. You'll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul><li>Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims.</li>
<li>Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action</li>
<li>Construct and fit statistical, machine learning, or optimization models</li>
<li>Design and analyze online experiments; communicate results and act on launch decisions</li>
<li>Develop analytical frameworks to monitor business and product performance</li>
<li>Establish metrics that measure the health of our products, the business, as well as the driver experience</li>
<li>Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.</li>
</ul><h2 class="jobSectionHeader">Experience:</h2>
<ul><li>Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience</li>
<li>5+ years of industry experience in a data science, analytics, or management consulting role.
</li><li>End-to-end experience with data, including querying, aggregation, analysis, and visualization</li>
<li>Ability to manage, influence, negotiate, and inspire others in a fast-moving environment</li>
<li>Proficiency in SQL and Python</li>
<li>Experience with insurance claims analytics a plus</li>
<li>Strong oral and written communication skills, and ability to collaborate with cross-functional partners</li></ul> 

<h2 class="jobSectionHeader">
Benefits: 
</h2>
<ul><li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</div>

Senior Data Scientist, Decisions - Risk

<div>Description
We are seeking a highly motivated Staff Scientist to lead and support the analysis of large-scale molecular datasets in a dynamic, collaborative research environment. This role focuses on cutting-edge functional genomics, with an emphasis on single-cell and multi-omic technologies. 
The Staff Scientist will drive computational analysis of high-dimensional datasets, partnering closely with a well-integrated computational-experimental team to generate biological insights from complex genomic data. The ideal candidate has deep expertise in single-cell transcriptomics and epigenomics, experience handling large-scale datasets, and strong quantitative and programming skills. Experience in machine learning and AI approaches is highly desirable. 
Responsibilities<ul><li>
Lead analysis of single-cell RNA-seq and multiome datasets (joint RNA/ATAC profiling)</li><li>
Perform integrative analysis across modalities, including bulk RNA-seq, ATAC-seq, and DNA methylation datasets</li><li>
Develop processing pipelines for novel single cell multiomic technologies</li><li>
Apply statistical modeling and machine learning methods to identify cellular states, regulatory programs, and epigenetic signatures</li><li>
Design and implement integrative multi-omic analyses across cohorts and experimental systems</li><li>
Present findings internally and contribute to publications and grant applications</li><li>
Stay current with emerging single-cell and AI-driven genomic analysis methodologies</li></ul> 

Qualifications<ul><li>
 Ph.D in sciences or related field</li><li>
 Minimum five years of experience with scientific investigation.</li><li>
 Must have demonstrated outstanding achievement in a field of research</li><li>
 Must have contributed to a number of peer-reviewed publications, inventions or the like, at least some of which have had a major impact on advancing the field or discipline.</li><li>
 Prior experience successfully securing external grant funding is highly desirable.</li></ul> 
Preferred Skills<ul><li>
PhD in Computational Biology, Bioinformatics, Genomics, Statistics, Computer Science, or related field (or equivalent experience).</li><li>
Strong experience analyzing bulk and single-cell RNA-seq and epigenomic data.</li><li>
Proficiency in R, including common single-cell analysis frameworks.</li><li>
Experience working with large-scale genomic datasets and high-performance computing environments.</li><li>
Strong statistical background and data visualization skills.</li><li>
Experience analyzing DNA methylation data (e.g., array-based or sequencing-based approaches).</li><li>
Experience analyzing long-read RNA sequencing datasets.</li><li>
Demonstrated use of machine learning/AI methods for genomic data integration or prediction.</li><li>
Familiarity with cloud-based workflows and reproducible pipeline development.</li><li>
Track record of publications in peer-reviewed journals.</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 - $125008.22 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>

Senior Scientist (Computational Genomics & Large-Scale Molecular Data Analysis) - Neurology

<div>Description
Principal Core Scientist: To conduct and oversee research projects and to help to implement strategy within area of expertise. Provide services and consultation to researchers and investigators to facilitate highly technical and specialized scientific research. Expected to possess widely recognized expertise in a given area. Expected to teach in courses and workshops for trainees and research community.
Responsibilities<ul><li>
Support operations and training</li><li>
Develop, troubleshoot and perfect protocols</li><li>
Train and educate investigators</li><li>
Take a leading role in projects, generate data, interpret results, prepare for publication</li><li>
Identify and contribute to technical and operations development and growth</li><li>
Prepare and disseminate discoveries</li><li>
Supervise other Core scientists</li></ul>
Qualifications<ul><li>
BS/BA + min of 12 years subject matter experience; MS + 10 years subject matter expertise; or PhD + Postdoc + advanced training in relevant area (preferred).</li></ul> 
Non-Bargaining Unit, 857 - Rehabilitation and Human Performance - ISM, Icahn School of Medicine
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 $89464 - $134197 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>

Principal Core Scientist (Part-time) - Rehabilitation and Human Performance

NYU Langone Health

<div><div>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 
 
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.</div><div>
Position Summary: 
We have an exciting opportunity to join our team as a Research Associate for the Torres-V&aacute;zquez Lab at NYU Langone. The lab uses transparent zebrafish embryos to understand how blood and lymphatic vessels form and function, both during normal development and disease. Major techniques used in the lab include confocal imaging, gene expression analysis, forced gene expression, transgenesis, genome editing, cell transplantation, cell culture, and biochemistry. In this role, the successful candidate will conduct basic science research under the mentorship of a senior scientist. The individual is expected to build a portfolio of research accomplishments in preparation for pursuing a higher degree in biomedical research or medicine. Thus, this position is ideal for those who wish to pursue a Master&rsquo;s or Doctoral degree later.
The individual in this role is responsible for conducting fundamental scientific experiments within the assigned laboratory. These experiments will be based on ongoing research projects and protocols established in the lab, and the work will be carried out under the mentorship and supervision of a senior scientist. This position offers an opportunity to gain hands-on experience in a research environment, allowing the individual to apply and deepen their understanding of biomedical science. Additionally, the individual is expected to actively contribute to the lab's research goals by generating reliable data and figures, analyzing results, and assisting with preparing scientific reports, publications, grant proposals, and progress reports for funding agencies. A key focus of this role is to support the development of a robust portfolio of research accomplishments that will be valuable to those pursuing advanced degrees in biomedical research, medicine, or related fields. This position plays an important part in fostering scientific growth and professional development in preparation for future academic and career goals.</div><div>
Job Responsibilities:<ul><li>
Generates hypotheses and designs and performs experiments to test them.</li><li>
After a period of time working in the laboratory, the candidate will be expected to train graduate students and post-doctoral fellows in experimental design, technique and performance.</li><li>
Participates in the editing and proofing of grant proposals, annual grant reports, and manuscripts for publication and recommends modifications to the Principal Investigator.</li><li>
Contributes to the preparation of articles on research outcomes and progress and to the submission of same for publication.</li><li>
Reads and understands relevant scientific literature.</li><li>
Presents findings at lab meeting, responds to challenges, and participates in exchanges of ideas to advance the science.</li><li>
Demonstrates a significant level of intellectual input into the design of the project.</li><li>
Communicates results and collaborates with other professionals in the lab.</li><li>
Prepares figures and diagrams for presentations and publications</li><li>
Based on results, independently suggests and tests modifications to protocols.</li><li>
Records all experimental findings in a laboratory notebook, analyze and interpret experimental findings.</li><li>
Executes multiple experiments simultaneously over time independently.</li></ul>
Additional Position Specific Responsibilities: 
The individual in this role is responsible for conducting fundamental scientific experiments within the assigned laboratory. These experiments will be based on ongoing research projects and protocols established in the lab, and the work will be carried out under the mentorship and supervision of a senior scientist. This position offers an opportunity to gain hands-on experience in a research environment, allowing the individual to apply and deepen their understanding of biomedical science. Additionally, the individual is expected to actively contribute to the lab's research goals by generating reliable data and figures, analyzing results, and assisting with preparing scientific reports, publications, grant proposals, and progress reports for funding agencies. A key focus of this role is to support the development of a robust portfolio of research accomplishments that will be valuable to those pursuing advanced degrees in biomedical research, medicine, or related fields. This position plays an important part in fostering scientific growth and professional development in preparation for future academic and career goals.</div><div>
Minimum Qualifications: 
To qualify you must have a College graduate with a B.S. or B.A. in Biomedical or Physical Sciences. A minimum commitment of two years is required and placement in position may not exceed three years.
Preferred Qualifications: 
Hands-on experience with one or more of the following: molecular biology, genetics, confocal microscopy, developmental or vascular biology, a genetically amenable model organism (for instance, zebrafish, flies, nematode, mouse), and data analysis. Self-motivation, a strong sense of responsibility, solid quantitative skills, and the ability to learn independently are also pluses.
Qualified candidates must be able to effectively communicate with all levels of the organization.
 
 
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 
 
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 
 
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $47,033.89 - $50,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div></div>

Research Associate

<div>
 
 
 Role: Senior Data Analytics Engineer with AI Initiatives (Must)
 
 
 
 
 Location: New York/ Remote
 
 
 
 
 Experience: 5 - 10 years
 
 
 
 
 Duration: Full time
 
 
 
 
 
 
 
 Job Description:
 
 
 
 We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 
 
 This is a
 
 hands-on engineering role
 
 focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable
 
 data pipelines and ETL/ELT workflows
 
 to ingest and transform data from multiple sources
 </li>
 <li>
 Develop and optimize
 
 batch and near real-time data processing pipelines
 
 for analytics and reporting
 </li>
 <li>
 Build and maintain
 
 data warehouse and data lake structures
 
 to support business intelligence and analytics use cases
 </li>
 <li>
 Implement and maintain
 
 data models
 
 that support efficient querying and reporting
 </li>
 <li>
 Improve performance and scalability of data systems through
 
 query optimization, indexing, and partitioning strategies
 
 </li>
 <li>
 Implement
 
 data quality checks, monitoring, and logging
 
 to ensure reliability of data pipelines
 </li>
 <li>
 Exposure to
 
 AI initiatives
 
 and experience
 
 building data pipelines
 
 supporting
 
 AI workflows
 
 </li>
 <li>
 Work with data architects and engineering teams to implement
 
 scalable data platform designs
 
 </li>
 <li>
 Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
 </li>
 <li>
 Maintain documentation for data pipelines, data models, and data workflows
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 5 - 10 years of experience
 
 in Data Engineering and GenAI and Data Scientist and AI Engineer
 </li>
 <li>
 Strong experience with
 
 SQL and Python
 
 for data processing and transformation
 </li>
 <li>
 Experience building and maintaining
 
 ETL/ELT pipelines
 
 </li>
 <li>
 Solid understanding of
 
 data warehousing concepts and dimensional data modeling
 
 </li>
 <li>
 Experience working with
 
 cloud data platforms or modern data infrastructure
 
 </li>
 <li>
 Familiarity with
 
 workflow orchestration tools
 
 such as
 
 Airflow
 
 or similar
 </li>
 <li>
 Understanding of
 
 API-based data ingestion and data integration patterns
 
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 
 Bachelor's or master's degree in computer science
 
 , Engineering, Information Systems, or a related field
 
 , or equivalent practical experience.
 
</div>

AI Data Engineer

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