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Data Science Postdoctoral Fellow Jobs (NOW HIRING)

The Postdoctoral Fellow will investigate cancer epithelial cell plasticity, lineage relationships ... Demonstrated scientific productivity through peer-reviewed publications. Strong communication ...

The Postdoctoral Fellow will investigate cancer epithelial cell plasticity, lineage relationships ... scientists. Postdoc will gain an invaluable experience in translational cancer research and the ...

Postdoctoral Fellow

Van, TX · On-site

$70K/yr

We are committed to inspiring the next generation of scientists and educators. TheVan Andel Institute (VAI)is seeking to hire a Postdoctoral Fellow in theBurton Laboratoryunder the direction ofDr.

The Postdoctoral Fellow will investigate cancer epithelial cell plasticity, lineage relationships ... scientists. Postdoc will gain an invaluable experience in translational cancer research and the ...

Postdoctoral Fellows

Bloomington, IN · On-site

$45K - $61K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type: Postdoctoral Fellow Department: IUSM - Biostatistics Campus: IU School of Medicine Indianapolis Position ...

Postdoctoral Fellow

Chapel Hill, NC · On-site

$41K - $56K/yr

Posting Details Department Biological and Genome Sciences - 428201 Posting Open Date 08/18/2022 ... Ability to build algorithms and data pipelines would be ideal. Required Qualifications ...

Postdoctoral Fellow

Chapel Hill, NC · On-site

$41K - $56K/yr

Posting Details Department Biological and Genome Sciences - 428201 Posting Open Date 08/18/2022 ... Ability to build algorithms and data pipelines would be ideal. Required Qualifications ...

Postdoctoral Fellow

Chapel Hill, NC

$41K - $56K/yr

Posting Details Department Biological and Genome Sciences - 428201 Posting Open Date 08/18/2022 ... Ability to build algorithms and data pipelines would be ideal. Required Qualifications ...

Key responsibilities include experimental design and execution, data analysis and interpretation ... The fellow will acquire skills in hypothesis-driven research, statistical analysis, scientific ...

Postdoctoral Fellow

Chapel Hill, NC · On-site

$41K - $56K/yr

Posting Details Department Biological and Genome Sciences - 428201 Posting Open Date 08/18/2022 ... Ability to build algorithms and data pipelines would be ideal. Required Qualifications ...

Postdoctoral Fellow

Stanford, CA · On-site

$57K - $78K/yr

Description A Postdoctoral Fellow position is available to analyze alternative splicing machinery ... Shouling Xu at Department of Plant Biology, Carnegie Institution for Science, located in Stanford ...

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Data Science Postdoctoral Fellow information

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$25K

$59K

$83.5K

How much do data science postdoctoral fellow jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data science postdoctoral fellow in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Postdoctoral Fellow vs Data Scientist?

AspectData Science Postdoctoral FellowData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's degree in related field, often with industry experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research institutes, government agenciesPrivate sector, industry-focused
Common Search & Comparison IntentUnderstanding academic/research roles vs industry rolesCareer transition, industry job expectations

While a Data Science Postdoctoral Fellow focuses on research, publishing, and academic contributions, a Data Scientist applies data analysis and modeling directly to business problems in industry. Both roles require strong analytical skills, but their environments and career paths differ significantly.

How do Data Science Postdoctoral Fellows typically collaborate with interdisciplinary teams in a research setting?

Data Science Postdoctoral Fellows often work closely with researchers from diverse backgrounds such as biology, engineering, or social sciences, depending on the focus of the project. Collaboration usually involves translating complex data analytics into actionable insights, leading or contributing to joint publications, and participating in regular team meetings to discuss research progress. Fellows may also mentor graduate students or assist in grant writing, providing technical expertise in statistical modeling or machine learning. This interdisciplinary environment fosters skill development and can open doors to both academic and industry career paths.

What are the key skills and qualifications needed to thrive as a Data Science Postdoctoral Fellow, and why are they important?

To thrive as a Data Science Postdoctoral Fellow, you need advanced expertise in statistics, machine learning, programming (such as Python or R), and a PhD in a quantitative field. Familiarity with data analysis tools, cloud computing platforms, and version control systems (e.g., Git) is essential, along with experience in specialized software relevant to your research domain. Strong analytical thinking, effective communication, and the ability to work both independently and collaboratively are standout soft skills. These competencies are crucial for conducting innovative research, translating complex data into actionable insights, and driving impactful scientific discoveries.

What is a Data Science Postdoctoral Fellow?

A Data Science Postdoctoral Fellow is a researcher who has completed their doctoral studies and works in a temporary academic or industry position focused on advanced data science research. They typically conduct independent or collaborative research projects, develop new data analysis techniques, and contribute to scientific publications. These fellows often work with large datasets, apply machine learning or statistical methods, and support interdisciplinary teams in solving complex problems. The position helps them further develop their research skills and prepare for future academic or industry roles.
What cities are hiring for Data Science Postdoctoral Fellow jobs? Cities with the most Data Science Postdoctoral Fellow job openings:
What states have the most Data Science Postdoctoral Fellow jobs? States with the most job openings for Data Science Postdoctoral Fellow jobs include:
Infographic showing various Data Science Postdoctoral Fellow job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Fellow - Immunology

Postdoctoral Fellow - Immunology

MD Anderson

Houston, TX

$46K - $63K/yr

Other

Medical, Dental, Retirement, PTO

Re-posted 29 days ago


MD Anderson Cancer Center rating

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Company rating: 8.4 out of 10

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Job description

CANCER CELL BIOLOGY, TUMOR EVOLUTION AND THE TUMOR MICROENVIRONMENT The Bullman Laboratory in the Department of Immunology, Department of Gastrointestinal Medical Oncology, and the James P. Allison Institute at The University of Texas MD Anderson Cancer Center is seeking a highly motivated Postdoctoral Fellow to join our interdisciplinary and collaborative research team. The laboratory is led by Dr.

Susan Bullman, Associate Professor and Associate Member of the James P. Allison Institute. Our research focuses on understanding how cancer cells interact with their surrounding microenvironment and how these interactions influence tumor progression, metastasis, immune evasion, and therapeutic response.

We combine cancer genomics, spatial multi-omics, advanced imaging, lineage tracing, and experimental model systems to uncover fundamental mechanisms governing cancer cell behavior, tumor evolution and therapy resistance. The Postdoctoral Fellow will investigate cancer epithelial cell plasticity, lineage relationships, and cell-state transitions during tumor progression, metastasis, and therapeutic response. They will develop and apply experimental approaches to understand how tumor microenvironmental signals influence cancer cell behavior, immune interactions, and treatment resistance.

The Postdoctoral fellow will be trained to utilize advanced spatial transcriptomic, proteomic, metabolomic, imaging, and single-cell technologies to characterize cellular states and interactions within human tumors. They will integrate cancer genomics, transcriptomics, imaging, and functional studies to identify mechanisms governing tumor evolution and therapeutic response. Trainee will learn to perform mechanistic studies using genetically engineered cell systems, organoids, co-culture systems, and in vivo cancer models.

They will be provided an experience to collaborate within a highly interdisciplinary environment including cancer biologists, immunologists, computational biologists, geneticists, microbiologists, and physician-scientists. Postdoc will gain an invaluable experience in translational cancer research and the development of novel therapeutic strategies. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES The Fellow will have opportunities to: Investigate cancer epithelial cell plasticity, lineage relationships, and cell-state transitions during tumor progression, metastasis, and therapeutic response. Develop and apply experimental approaches to understand how tumor microenvironmental signals influence cancer cell behavior, immune interactions, and treatment resistance. Utilize advanced spatial transcriptomic, proteomic, metabolomic, imaging, and single-cell technologies to characterize cellular states and interactions within human tumors.

Integrate cancer genomics, transcriptomics, imaging, and functional studies to identify mechanisms governing tumor evolution and therapeutic response. Perform mechanistic studies using genetically engineered cell systems, organoids, co-culture systems, and in vivo cancer models. Collaborate within a highly interdisciplinary environment including cancer biologists, immunologists, computational biologists, geneticists, microbiologists, and physician-scientists.

Gain experience in translational cancer research and the development of novel therapeutic strategies. ELIGIBILITY REQUIREMENTS Ph.D. in Cancer Biology, Cell Biology, Molecular Biology, Genetics, Developmental Biology, Immunology, Biomedical Sciences, or a related discipline

Strong background in mammalian cell culture and molecular biology. Experience with genetic engineering approaches including transfection, lentiviral systems, CRISPR-based perturbations, or related technologies. Experience with molecular biology techniques including cloning, qPCR, nucleic acid library preparation, western blotting, flow cytometry, or related approaches.

Experience with imaging approaches including confocal microscopy, immunofluorescence, immunohistochemistry, multiplex imaging, or related methods. Demonstrated scientific productivity through peer-reviewed publications. Strong communication, collaboration, organizational, and problem-solving skills.

Preferred Qualifications Experience with cancer genomics, functional genomics, single-cell sequencing, spatial biology, or transcriptomic analyses. Experience with computational analysis of genomic or transcriptomic datasets. Experience with mouse handling and preclinical cancer models.

Experience with lineage tracing, organoid systems, or advanced cancer model development. Experience working in interdisciplinary research environments. Prior experience in microbiome research is not required.

Candidates with strong backgrounds in cancer cell biology, tumor biology, stem cell biology, developmental biology, epithelial biology, cancer genomics, tumor evolution, or therapeutic resistance are strongly encouraged to apply. ADDITIONAL APPLICATION INFORMATION Start Date: Flexible If you are interested in understanding the mechanisms that govern cancer cell behavior, tumor evolution, and tumor microenvironment interactions, and translating these discoveries into new therapeutic opportunities for patients with cancer, we encourage you to apply. Recent studies from the laboratory, published in science (2017; PMID: 29170280), Nature (2022; PMID: 36385528), Nature (2024; PMID: 38509359), and Cancer Cell (2026; PMID 41106380), have advanced our understanding of how tumor-associated bacteria influence cancer epithelial cell behavior, tumor evolution, immune architecture, and therapeutic response through integrated genomic, spatial, and functional approaches.

Our current research seeks to define how cancer epithelial cells respond to microenvironmental signals and how these interactions shape cellular plasticity, tumor evolution, immune responses, and treatment outcomes in oro-gastrointestinal cancers. POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience.

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Apply


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