associate scientist (computational genomics & large-scale molecular data analysis) - neurology

bioinformatician ii- immunology and immunotherapy

data scientist

analyst, data science

applied data scientist

associate scientist (computational genomics & large-scale molecular data analysis) - neurology Jobs in New York

bioinformatician ii- immunology and immunotherapy Jobs in New York

computational biologist

Mount Sinai Health System

<div>Description
The Laboratory of Tissue Immunity and Regeneration at the Icahn School of Medicine at Mount Sinai is seeking a highly qualified and motivated Bioinformatician II to support computational and analytical research efforts across a diverse portfolio of sequencing- and omics-based studies.
The laboratory uses state-of-the-art genomic technologies, including bulk RNA sequencing, bulk ATAC sequencing, single-cell RNA sequencing, single-cell Multiome, and Spatial Transcriptomics/Visium HD, to investigate fundamental and translational questions in tissue immunity, inflammatory memory, regeneration, and inflammatory diseases of the skin and gut.
The Bioinformatician II will serve as an integral member of the research team and a key computational partner to experimental investigators. This individual will be responsible for the design, execution, and interpretation of bioinformatic analyses across multiple projects, and will contribute to the development of reproducible analytical workflows and publication-quality scientific outputs. The position requires a high level of technical expertise, strong organizational skills, and the ability to work effectively in a collaborative, fast-paced academic research environment.
Responsibilities<ul><li>
Conduct end-to-end computational analyses for bulk RNA-seq, bulk ATAC-seq, single-cell RNA-seq, single-cell Multiome, and Spatial Transcriptomics/Visium HD datasets.</li><li>
Process, quality control, analyze, visualize, and interpret high-dimensional sequencing and omics datasets.</li><li>
Develop, optimize, maintain, and document reproducible computational pipelines and workflows to support scalable analysis across multiple research projects.</li><li>
Partner closely with laboratory scientists and collaborators to translate biological questions into rigorous computational strategies and analytical plans.</li><li>
Generate high-quality figures, summaries, and data outputs for internal research meetings, grant applications, manuscripts, and scientific presentations.</li><li>
Manage computational analyses in a high-performance computing environment and ensure effective organization of data and analytical workflows.</li><li>
Support ongoing and new research initiatives through timely, accurate, and scientifically rigorous analysis.</li><li>
Contribute to manuscript preparation and other scholarly outputs arising from the laboratory&rsquo;s research program.</li></ul>
Qualifications<ul><li>
M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered.</li><li>
2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets.</li><li>
Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as MatLab, R statistical package, BioConductor, Perl and C++.</li></ul> 
Preferred Skills<ul><li>
Prior experience analyzing bulk RNA-seq, bulk ATAC-seq, scRNA-seq, single-cell Multiome, and Spatial Transcriptomics/Visium HD data.</li><li>
Familiarity with single-cell analysis frameworks and data structures, including Seurat and AnnData.</li><li>
Experience developing and maintaining bioinformatics pipelines for sequencing-based workflows.</li><li>
Demonstrated ability to independently perform analyses from raw data processing through downstream interpretation.</li><li>
Experience working in a highly collaborative laboratory or translational research environment.</li><li>
Strong written and verbal scientific communication skills, including experience preparing publication-quality figures and analyses.</li><li>
Interest in inflammatory disease biology, tissue immunology, regeneration, and translational team science.</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 $65885 - $100000 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>

Bioinformatician II- Immunology and Immunotherapy

<div>Description
We are looking for a Computational Scientist in Computational Biology and Machine Learning to join our growing translational research program at the Tisch Cancer Institute. Our team studies myeloproliferative neoplasms (MPNs), acute myeloid leukemia (AML), and related myeloid malignancies, combining single-cell multi-omics, clinical data, and artificial intelligence&ndash;based approaches to understand disease mechanisms, identify biomarkers, support drug development, and improve patient care.
The scientist will work closely with longitudinal patient datasets, integrating genomics, immune and cytokine profiling, treatment responses, and clinical trial outcomes.
The scientist will report directly to Dr. Md Babu Mia, lead of the Computational Biology and Machine Learning program within the MPN team.
Responsibilities
Computational Biology &amp; Single-Cell Analytics<ul><li>
Lead analysis of single-cell genomics datasets and build reproducible pipelines for data integration, clustering, differential expression, and clonal architecture reconstruction</li><li>
Apply rigorous statistical methods that appropriately account for sample-level replication, longitudinal structure, and multi-modal data</li></ul> 
Machine Learning &amp; Predictive Modeling<ul><li>
Build machine learning models linking genomic drivers to clinical phenotypes, cytokine profiles, and treatment outcomes using ensemble methods and deep learning</li><li>
Develop interpretable risk stratification models for disease progression and treatment response, with a focus on clinical relevance</li></ul> 
AI &amp; Large Language Model Development<ul><li>
Develop retrieval-augmented generation (RAG) systems and AI-assisted workflows that enable natural-language querying of clinical and genomic datasets</li><li>
Build LLM-powered pipelines for extracting structured information from clinical notes and pathology reports, with an emphasis on transparency and clinical usability</li></ul> 
Data Integration &amp; Infrastructure 
<ul><li>
Build unified data models connecting treatments, laboratory results, cytokines, multi-omic biomarkers, and clinical trial endpoints</li><li>
Maintain HIPAA-compliant databases and ETL pipelines, and develop dashboards and APIs to support cross-institutional collaboration</li></ul> 
Scientific Communication<ul><li>
Prepare publication-ready figures and analyses, and contribute to manuscripts, grant applications, and research proposals</li><li>
Present findings at conferences and collaborate closely with lab scientists and clinicians 
</li></ul>
Qualifications<ul><li>
Masters degree or equivalent in a domain science; Ph.D in Computational Biology, Bioinformatics, Computer Science, Data Science, or related scientific domain preferred.</li><li>
3 years, preferably in a scientific/academic computing environment or equivalent experience.</li><li>
Experience in batch HPC cluster environment with a parallel file system</li><li>
Experience installing and supporting bio and chemistry codes (NAMD, AMBER, Matlab, Gromacs, DESMOND) and laboratory equipment such as sequencers, etc.</li><li>
Experience with MPI, Open MP and numerical libraries</li><li>
Experience with scientific workflows</li><li>
Experience with instrumenting and optimizing application codes</li><li>
Experience in an academic or research community environment</li><li>
Programming experience in any applicable language</li></ul>
Preferred:<ul><li>
Strong experience with next-generation sequencing data analysis, and proficiency in Python and R</li><li>
Demonstrated track record building machine learning models for biomedical applications; familiarity with LLM frameworks or RAG systems</li><li>
Experience with cloud or HPC environments, containerization (Docker), and database design</li><li>
Background in building dashboards, LLM fine-tuning, and working across laboratory, clinical, and computational teams</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 $96461 - $159101.2 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>

Computational Scientist, Computational Biology and Machine Learning - Hematology & Medical Oncology

<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 Biological Science or related field</li><li>
Three years experience</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 - $98978.78 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 Scientist (Computational Genomics & Large-Scale Molecular Data Analysis) - Neurology

Mount Sinai Morningside

<div>
 
 Description
 
 
 
 Job Description
 
 
 The project focuses on the generation, processing, and interpretation of high‑throughput omics datasets to understand molecular mechanisms underlying biological phenotypes. This includes integration of genomics, transcriptomics, proteomics, and/or metabolomics data to identify biomarkers, regulatory pathways, and functional networks. The research aims to support hypothesis‑driven discovery as well as data‑driven modeling using computational and statistical approaches.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Perform data preprocessing and quality control for omics datasets (e.g., FASTQ QC, adapter trimming, alignment, quantification).
 </li>
 <li>
 Conduct bioinformatics analyses such as differential expression, pathway enrichment, clustering, and network analysis.
 </li>
 <li>
 Use established pipelines and tools.
 </li>
 <li>
 Maintain and update data management systems, ensuring proper documentation, version control, and reproducibility.
 </li>
 <li>
 Assist with sample preparation protocols when needed (RNA extraction, library prep, protein isolation, mass‑spec sample prep).
 </li>
 <li>
 Generate figures, reports, and visualizations for internal meetings, manuscripts, and presentations.
 </li>
 <li>
 Collaborate with senior researchers to interpret results and refine analytical strategies.
 </li>
 <li>
 Follow laboratory safety procedures and institutional guidelines.
 
 
 </li>
 </ul>
 
 Goals/Outcomes Of The Research Project
 
 
 
 <ul>
 <li>
 Produce high‑quality, reproducible omics analyses that advance the project&rsquo;s scientific aims.
 </li>
 <li>
 Identify key molecular signatures, pathways, or biomarkers relevant to the biological question.
 </li>
 <li>
 Contribute to manuscripts, presentations, and grant applications through data analysis and visualization.
 </li>
 <li>
 Develop and refine computational pipelines that can be reused by the research team.
 </li>
 <li>
 Support the generation of new hypotheses and experimental directions based on data‑driven insights.
 </li>
 <li>
 Build a robust, well‑documented dataset and analysis framework that supports long‑term research continuity.
 
 
 </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>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Bachelor?s or Master?s degree in Bioinformatics, Computational Biology, Molecular Biology, Genetics, Biostatistics, or a related field.
 </li>
 <li>
 Foundational understanding of molecular biology and high?throughput sequencing technologies.
 </li>
 <li>
 Proficiency in R and/or Python for data analysis.
 </li>
 <li>
 Familiarity with Linux/Unix environments.
 </li>
 <li>
 Strong organizational skills and ability to maintain detailed laboratory and computational records.
 </li>
 <li>
 Ability to work independently while contributing to a collaborative research environment.
 
 
 </li>
 </ul>
 
 Experience Preferred
 
 
 
 <ul>
 <li>
 Prior experience with omics datasets (bulk or sc-RNA?seq, whole?genome sequencing, ATAC seq or ChiP-seq, proteomics, or metabolomics).
 </li>
 <li>
 Hands?on experience with at least one major analysis pipeline (e.g., differential expression, variant calling, clustering).
 </li>
 <li>
 Experience generating publication?quality plots and figures.
 </li>
 <li>
 Experience with machine learning, cloud computing, or workflow automation.
 </li>
 <li>
 Experience with wet?lab protocols relevant to sample preparation.
 
 
 </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 "Honor Roll" 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 - $77125.98 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- Pharmacological Sciences

<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

NYU Langone Health

<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.

Position Summary: 
We have an exciting opportunity to join our team as a High Performance Computing (HPC) Systems Administrator.
 
 
The High Performance Computing (HPC) Systems Administrator will leverage technical expertise to collaborate with the HPC team, scientists, and software engineers in supporting the computational needs of world-class researchers in both clinical and basic science at NYU Langone Health (NYULH). Reporting to the Director of the NYULH HPC Facility, the Systems Administrator will work closely with facility staff, principal investigators, research labs, core facilities, individual scientists, and students. Primary responsibilities include system administration, system monitoring, troubleshooting, software maintenance, installations, and optimization of advanced computing systems and related infrastructure.

Job Responsibilities:
<ul>
<li>Deploy, administer, and monitor Linux-based HPC clusters and petascale storage 
systems.</li>
<li>Install, maintain, and upgrade scientific software, libraries, and licensed 
applications.</li>
<li>Troubleshoot and resolve system, hardware, and application issues across HPC 
environments.</li>
<li>Develop and maintain scripts for system administration, monitoring, reporting, and 
data pipeline optimization.</li>
<li>Provide technical support to researchers; assist with project execution, 
benchmarking, and resource planning.</li>
<li>Research, deploy, and optimize resource management and scheduling systems 
(e.g., batch systems).</li>
<li>Evaluate and manage a helpdesk ticketing system; ensure timely resolution of user-submitted issues.</li>
<li>Integrate HPC systems with laboratory equipment such as DNA sequencers, mass 
spectrometers, and Cryo-Electron Microscopes.</li>
<li>Implement and manage HPC security infrastructure; ensure compliance with PHI 
handling policies and best practices.</li>
<li>Create and maintain technical documentation and user guides. 
Develop and deliver training sessions and workshops on HPC usage and best 
practices.</li>
<li>Consult with researchers to assess computational needs and prepare resource 
planning reports.</li>
<li>Support grant proposal development with technical specifications for 
computational infrastructure.</li>
</ul>
Minimum Qualifications: 
To qualify you must have a Bachelor's degree in Computer Science, Engineering, Physics, Bioinformatics, or a related field (or equivalent experience).
 
3+ years of experience administering Linux systems, HPC clusters, and large-scale storage solutions.
 
Proficiency in scripting languages such as Bash, Python, or Perl for system administration and automation.
 
Experience with job scheduling systems (e.g., Slurm, PBS, LSF) and resource management tools.
 
Strong troubleshooting skills across system, hardware, network, and application layers.
 
Familiarity with scientific software installation, configuration, and maintenance.
 
Knowledge of security best practices, including the handling of Protected Health Information (PHI) in research environments.
 
Excellent communication and documentation skills; ability to support and train non-expert users.

Preferred Qualifications: 
Experience supporting research computing in biomedical or clinical environments.
 
Familiarity with data transfer optimization tools (e.g., Globus, Aspera) and parallel file systems (e.g., GPFS, Lustre, BeeGFS).
 
Experience integrating HPC resources with laboratory instruments (e.g., DNA sequencers, mass spectrometers, microscopes).
 
Experience developing and delivering technical training, tutorials, or workshops.
 
Knowledge of grant writing processes and preparing computational resource justifications.
 
Experience with containerization technologies (e.g., Singularity, Docker) in HPC environments.

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 $84,577.93 - $145,897.01 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.

To view the Pay Transparency Notice, please click here</div>

High Performance Computing (HPC) Systems Administrator

<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

Explore 9+ Computational biologist in New York this April. Find roles across top companies and apply now to boost your career.