Postdoctoral Fellow-MSH-30025-250

Mount Sinai Medical Center; New York (NY); On-site; USD 72,500 - 80,000; Full time

Benefits offered by this job

Competitive salary

Access to advanced computational resources

Mentorship opportunities

Job summary

Mount Sinai Medical Center is hiring a Postdoctoral Fellow in Bioinformatics to analyze single-cell datasets in hematological malignancies. This role involves advanced bioinformatics analysis, collaboration with experimental teams, and contributions to research publications.

The ideal candidate will have a Ph.D. in a relevant field and strong experience with single-cell sequencing analysis and computational methods. Competitive salary and benefits are offered, reflecting NIH guidelines and experience.

Qualifications

• Strong expertise in single-cell sequencing analysis.
• Proficiency in handling large-scale genomic datasets.
• Familiarity with cancer biology, epigenetics, or clonal evolution.

Responsibilities

• Perform advanced bioinformatics analysis of single‑cell multi‑omic data.
• Develop and apply custom computational methods.
• Integrate multi‑modal datasets with clinical and functional data.

Skills

Single-cell sequencing analysis

R/Bioconductor

Python

Statistical modeling

Communication skills

Education

Ph.D. or M.D./Ph.D. in relevant field

Tools

Seurat

Scanpy

ArchR

Signac

Job description

Job Description

The Izzo Lab (Laboratory of Clonal Evolution and Molecular Epigenetics of Cancer) at the Icahn School of Medicine at Mount Sinai is seeking a highly motivated Postdoctoral Fellow in Bioinformatics to join our team. Our research focuses on uncovering the fundamental mechanisms driving the onset, therapy resistance, and progression of hematological malignancies, with a particular emphasis on clonal evolution, genetic heterogeneity, and epigenetic plasticity. We develop and apply cutting‑edge single‑cell sequencing technologies—including multi‑omic approaches integrating genomics, transcriptomics, and epigenomics—to directly profile patient samples. This work aims to map genotype‑to‑phenotype relationships, understand how somatic mutations drive epigenetic deregulation, and identify vulnerabilities that can be targeted to overcome therapy resistance and improve patient outcomes.

The successful candidate will play a central role in the computational analysis of large‑scale single‑cell datasets from ongoing projects in blood cancers (e.g., myeloproliferative neoplasms, MDS, and leukemia). This is an outstanding opportunity for a computational scientist interested in translational cancer research within a dynamic, collaborative, and highly supportive environment at the Tisch Cancer Institute and Center for Advancement of Blood Cancer Therapies (CABCT).

Responsibilities

• Perform advanced bioinformatics analysis of single‑cell multi‑omic data (scRNA‑seq, scATAC‑seq, multiome, CITE‑seq, and emerging spatial/single‑cell technologies), including quality control, integration, clustering, trajectory inference, and differential analysis.
• Develop and apply custom computational methods or pipelines to study genetic heterogeneity, clonal evolution, somatic mutation effects, and epigenetic regulation (e.g., chromatin accessibility, gene regulatory networks, and plasticity).
• Integrate multi‑modal datasets with clinical and functional data to generate biological insights and hypotheses.
• Collaborate closely with wet‑lab team members on experimental design, data interpretation, and validation.
• Contribute to manuscript preparation, grant writing, and presentation of findings at conferences.
• Mentor junior lab members and participate in lab meetings and journal clubs.

Qualifications

• Ph.D. (or M.D./Ph.D.) in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a closely related field.
• Strong expertise in single‑cell sequencing analysis, with demonstrated experience in R/Bioconductor and/or Python (e.g., Seurat, Scanpy, ArchR, Signac, or similar tools).
• Proficiency in handling large‑scale genomic datasets, statistical modeling, machine learning (optional but a plus), and high‑performance computing (e.g., SLURM clusters).
• Familiarity with cancer biology, epigenetics, or clonal evolution is highly desirable.
• Excellent communication skills, ability to work independently and in teams, and a track record of peer‑reviewed publications.
• Prior experience with hematological malignancies or multi‑omic integration is a strong advantage.

What We Offer

• Competitive salary and benefits, commensurate with experience and NIH guidelines (including subsidized housing options in New York City).
• Access to state‑of‑the‑art computational resources and core facilities at Mount Sinai.
• Mentorship from Dr. Franco Izzo and close collaboration with leading investigators in oncology, single‑cell genomics, and hematology.
• Opportunities for career development, including independent projects, grant applications (e.g., K99/R00), and networking within the vibrant Mount Sinai research community.
• A creative, rigorous, and supportive lab culture focused on high‑impact science with translational potential.

How to Apply

Interested candidates should send the following to [e-mail] (with the subject line “Postdoc Bioinformatics Application – [Your Last Name]”):

• Cover letter describing research interests, relevant experience, and career goals.
• Curriculum vitae (CV).
• Contact information for 2–3 references.
• One representative publication (PDF).

Applications will be reviewed on a rolling basis until the position is filled.

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 $72,500 - $80,000 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 or incentive, differential pay or other forms of compensation or benefits.