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associate researcher i- immunology and immunotherapy Jobs in New York

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clinical research assistant

senior research scientist

Mount Sinai Health System

<div><b>Description</b><p>
The Research Scientist II is a senior-level laboratory or clinical research individual who conducts research involving the understanding of human diseases and the improvement of human health. S/he engages in clinical investigation or other research, production, technical writing, and related activities. The Research Scientist II may take the lead in the creation or participation of specific research projects.</p><b><br>
Responsibilities</b><ul><li>
Conducts research to develop methodologies, instrumentation and procedures for medical application, analyzing data and presenting findings.</li><li>
Assists in the design and conduct of complex clinical research studies requiring the determination and evaluation of alternative methods, computational modeling, diagnosis and treatment.</li><li>
Participates in studies to investigate human or animal disease, preventive methods, and treatments for disease.</li><li>
Follows strict safety procedures when handling materials to avoid contamination.</li><li>
May mentor students and less experienced research technicians.</li><li>
May confer with health departments, industry personnel, physicians, and others to develop health safety standards and public health improvement programs.</li><li>
Develops treatments and designs research tools and techniques.</li><li>
Explores subject area and defines scope and selection of problems for investigation through conceptually related studies.</li><li>
Develops hypotheses with senior colleagues to be tested and methodology for evaluating results.</li><li>
Examines the results of clinical trials and adjusts the dosage levels to reduce negative side effects or to induce better results.</li><li>
Develops new proposals for research and obtain support for new and/ or continuing research activities.</li><li>
Participates or leads the process in decision-making with potential impact on extensive scientific research activities.</li><li>
May present at relevant professional conferences.</li><li>
Other duties as assigned.</li></ul><br>
<b>
Qualifications</b><ul><li>
Master&rsquo;s or Ph.D in Biological Science or related field is strongly preferred.</li><li>
3+ years minimum research experience (may include academic studies) with Masters; 5 years with a Bachelor&rsquo;s. Prior Faculty background preferred. Supervisory experience of lower-ranked research personnel is preferred.</li></ul><p></p><p><b><br>
Preferred Qualifications</b></p><p>
Experience in immune-mediated inflammatory disease, human immunology, translational biomarker studies, and cross-functional research coordination preferred. Experience managing collaborative projects involving academic, clinical, and industry partners is strongly preferred. Demonstrated organizational leadership and the ability to thrive in a highly collaborative translational research environment are highly desirable.</p><p></p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
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.</p>
<p>
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.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
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.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
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.</p><p><b><br>
Compensation</b></p><p>
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 $87692 - $131538 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.</p></div>

Research Scientist II- Immunology and Immunotherapy

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - NY: Arts and Science (A&amp;S): Physics Department
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>New York, NY
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Mar 31, 2026
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The Assistant Research Scientist supports ongoing research within the Center for Quantum Information Physics under the supervision of Professor Javad Shabani. The role involves active participation in laboratory research alongside graduate and undergraduate students, contributing to projects in material development for superconducting quantum electronics. Responsibilities include assisting with process design and development, device fabrication, and materials characterization. The position also involves maintaining research documentation, supporting collaborations within the group, and contributing to the overall progress of sponsored research activities.</p>
<p>
This position is based in New York and the selected candidate will be expected to work onsite as of their effective start date.</p>
<p><b>
In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $18.00/hr.</b><b> New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer</b><b>.</b></p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p>Bachelors in related field</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div><p></p>

Assistant Research Scientist (Shabani)

NYU Langone Health

<div>
 1156464_RR00116215 Job ID: 1156464_RR00116215
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <em>
  For more information, go to
 </em>
 <em>
  med.nyu.edu
 </em>
 , and interact with us on
 <em>
  LinkedIn
 </em>
 ,
 <em>
  Glassdoor
 </em>
 ,
 <em>
  Indeed
 </em>
 ,
 <em>
  Facebook
 </em>
 ,
 <em>
  Twitter
 </em>
 <em>
  and
 </em>
 <em>
  Instagram
 </em>
 .
 <br/>
 <br/>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 We have an exciting opportunity to join our team as a Research Scientist.
 <br/>
 <br/>
 In this role, the successful candidate is responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory.
 <br/>
 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Formulates and conducts research on problems of considerable scope and complexity.
  </li>
  <li>
   Develops new ideas that promote current research. Exercises a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance.
  </li>
  <li>
   May manage the operations of a lab for the Principal Investigator by supervising Post Docs and technicians. Oversees the maintenance and upkeep of all instruments and laboratory facilities.
  </li>
  <li>
   Ensures timely and accurate completion of research projects.
  </li>
  <li>
   May provide students with technical guidance and direction in the operation of various sample preparation techniques, extraction lines, and equipment as well as general laboratory practices and safety protocols.
  </li>
  <li>
   May seek grant funding from external sources in support of their independent research projects with consent of the PI and the Department Chair. May participate in writing grant proposals.
  </li>
  <li>
   May be responsible research/lab quality control and compliance.
  </li>
  <li>
   May develop protocol for the collection and quality of research data.
  </li>
  <li>
   Develops research techniques and methodologies.
  </li>
  <li>
   May determine and establish laboratory policies, procedures and practices.
  </li>
  <li>
   Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.
  </li>
  <li>
   Makes decisions and recommendations that have a major impact on extensive scientific research activities.
  </li>
  <li>
   Maintains a thorough knowledge of the advances in specialized fields through attendance of scientific conferences.
  </li>
  <li>
   May make significant contributions to scientific papers. Is a resource/ author/ co-author for reports and presentations.
  </li>
  <li>
   May provide recommendations for equipment purchases and for the redesign of lab space.
  </li>
  <li>
   May coordinate the activity and experimental design between various labs, scientific staff, and collaborators. Identifies and resolves technical problems.
  </li>
  <li>
   May serve on internal committees to help further goals of research projects and bring new expertise to the research program.
  </li>
  <li>
   Performs other related duties as assigned.
  </li>
  <li>
   Initiates, interprets, organizes, executes, and coordinates research assignments critical to department's mission.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 To qualify you must have a MS degree and 2-4 years of experience or equivalent combination of education and experience.
 <br/>
 <br/>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 Substantial experience from having completed Post Doc training. Established a record of publications
 <br/>
 <br/>
 <em>
  Qualified candidates must be able to effectively communicate with all levels of the organization.
  <br/>
  <br/>
 </em>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 View Know Your Rights: Workplace discrimination is illegal.
 <br/>
 <br/>
 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 $58,500.00 - $81,000.00 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.
 <br/>
 <br/>
 To view the Pay Transparency Notice, please click here
</div>


Research Scientist

<div><b>Description</b><p>
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.</p><p></p><p><br>
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.</p><b><br>
Responsibilities</b><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><br>
<b>
Qualifications</b><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><p></p><p><br>
Preferred Skills</p><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><p></p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
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.</p>
<p>
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.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
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.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
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.</p><p><b><br>
Compensation</b></p><p>
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.</p></div>

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

<div><b>Description</b><p>
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.</p><div><br>
The successful candidate will drive the day-to-day execution of genomics assays, including:<br>
<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><p></p><p><br>
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.</p><p></p><p><br>
The scientist will report directly to Dr. Md Babu Mia, lead of the Computational Biology and Machine Learning program within the MPN team.</p><b><br>
Responsibilities</b><p>
Genomics &amp; Single-Cell Assays</p><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><p><br>
Primary Human Samples &amp; Hematology Focus</p><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><p><br>
Collaboration, Data Handling &amp; Basic Analysis</p><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><p><br>
Laboratory Operations &amp; Documentation</p><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><p></p><p><br>
Scientific Contributions</p><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<br>
</li></ul><b>
Qualifications</b><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><p>
Preferred Qualifications:</p><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><b>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p><br>
<p>
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.</p><br>
<p>
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.</p><br>
<p><b>
About the Mount Sinai Health System:</b></p><br>
<p>
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.</p><br>
<p><b>
Equal Opportunity Employer</b></p><br>
<p>
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.</p><br>
<p><b>
Compensation</b></p><p>
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.</p></div>

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

Penguin Random House

<p></p><div><div><div><div><div><div>The Data Science team at Penguin Random House is seeking an experienced machine learning scientist to drive a suite of e-book forecasting and pricing products. You will own the end-to-end design, implementation and long-term growth of products that deliver major impact for the business. You will inherit an existing system and have autonomy to decide what to support, what to expand and what to revamp. You will join a tight-knit group of world-class scientists delivering predictive solutions across a wide berth of functions at the company, including pricing, supply chain and operations, sales, marketing and ecommerce/personalization.<br>
</div><div></div><div>The ideal candidate will be an expert in modern forecasting techniques (such as Bayesian methods) and an accomplished software developer.<br>
</div><div></div><div>As the world&rsquo;s leading publishing house, Penguin Random House remains at the forefront of digital transformation, using cutting-edge AI and machine learning techniques to shape the future of book discovery, sales, and customer engagement. With a commitment to quality and innovation, we leverage data science to enhance our capabilities across pricing, forecasting, personalization, and more.
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This role may be filled at the Senior or Staff level depending on experience and interview performance.<br>
</div><div></div><div><b>Specific responsibilities include:
</b></div><ul><li>Take ownership. Be the in-house expert on our automated e-book pricing systems.
</li><li>Be ambitious. Shape long term plans for our e-book pricing systems and implement them.
</li><li>Be curious. Discover and build new techniques to improve coverage, accuracy and risk mitigation.
</li><li>Be a leader. Set a high bar for our team while helping them achieve their best.
</li><li>Be a team player. Collaborate with our scientists, particularly our print book pricing team.
</li>Be cutting edge. Use the latest AI tools to develop well-designed and robust software<br>
<li>
</li></ul><div></div><div><b>Please apply if you meet the following qualifications:
</b></div><ul><li>Masters with 8+ years OR PhD with 3+ years of applied work experience in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or a related quantitative field
</li><li>Expertise in Bayesian statistical methods
</li><li>Experience using AI to speed development through exploration, questioning and testing
</li><li>Experience operating and maintaining automated machine learning systems
</li><li>Expertise in algorithm and model development, validation and maintenance for large-scale applications in commercial settings
</li><li>Proficiency with both Python and R
</li><li>Experience distilling stakeholder requirements into problem definitions
</li></ul><p><b>Preferred Qualifications:
</b></p><ul><li>Experience building stochastic time series models
</li><li>Demonstrated ability to adopt existing systems and grow or migrate them
</li>Passionate about both books and market dynamics<br>
<li>
</li></ul><p></p><p><b>Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a Penguin Random House location.<br>
</b></p><p></p><p><b>The salary range for this position is $160,000 - $210,000. All positions are currently eligible for an annual profit award or bonus, subject to company results.<br>
</b></p><p></p><p><b>Applications for this role will be accepted through April 30, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.<br>
</b></p></div></div></div></div><p></p><div><div><div><div><p>Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications.<br>
</p><p><br>
Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&amp;D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance &amp; generous paid time off.<br>
</p><p><br>
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset &amp; Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.
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Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.<br>
</p><p></p><p><b>Company: </b>Penguin Random House LLC <b>| Job ID: </b>287924</p></div></div></div></div></div>

Senior Machine Learning Scientist - Pricing (Open to Remote)

CVS Health

<div><p>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.</p><p></p><p><b>
Position Summary</b></p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><b>
Model Development:</b> 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><b>
ML-Ops:</b> Develop, deploy and maintain machine learning models in production, ensuring robust and scalable solutions.</li><li><b>
Collaboration:</b> Work closely with cross-functional teams, including product managers, engineers, and business analysts, to understand business needs and deliver data-driven solutions.</li><li><b>
Innovation:</b> 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><b>
Reporting:</b> Create and present detailed reports and visualizations to communicate findings and recommendations to stakeholders.</li><li><b>
Analytical Skills:</b> Strong problem-solving skills and the ability to work with complex datasets</li><li><b>
Communication Skills:</b> Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li></ul><p><b><br>
Required Qualifications</b></p><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><p><b><br>
Preferred Qualifications</b></p><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 <b>Time Series forecasting techniques,</b> and Machine learning methods including classics like SARIMA, exponential smoothing, time series regressions, and machine learning methods like LSTM, XGBoost, etc</li></ul><p><b><br>
Education</b></p><ul><li>
Bachelor's degree or equivalent work experience in Business Analytics, Economics, Physics, Engineering, Mathematics, Statistics, Computer Science, or related discipline.</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$92,700.00 - $222,480.00<p></p><p>
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.</p><p><br>
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.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
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:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> 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.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 04/07/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Scientist

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