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Bioinformatics Fellowship Jobs (NOW HIRING)

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Postdoctoral Fellow - Computational Biology / Bioinformatics Focus: Multi-omics and Longitudinal Modeling in Alzheimer's Disease Appointment: Full-time, 1-year term (renewable pending funding and ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site

$46K - $63K/yr

We apply innovative bioinformatics approaches to dissect the tumor 'ecosystem', deeply profile ... We are seeking multiple talented and highly motivated Postdoctoral Fellows with a strong background ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site

$46K - $63K/yr

We apply innovative bioinformatics approaches to dissect the tumor 'ecosystem', deeply profile ... We are seeking multiple talented and highly motivated Postdoctoral Fellows with a strong background ...

wistar

Post-Doctoral Fellow - Wu Lab

Institute, WI · On-site

$47K - $63K/yr

We are seeking a highly motivated Post-Doctoral Fellow to work at the intersection of molecular biology and bioinformatics by using single-cell multiomics to better understand the epigenetics of the ...

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Bioinformatics Fellowship information

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How much do bioinformatics fellowship jobs pay per year?

As of Sep 9, 2026, the average yearly pay for bioinformatics fellowship in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatics Fellowship vs Bioinformatics Analyst?

AspectBioinformatics FellowshipBioinformatics Analyst
Required CredentialsTypically requires a master's or Ph.D. in bioinformatics, computational biology, or related fieldsUsually requires a bachelor's or master's degree in bioinformatics, biology, or computer science
Work EnvironmentResearch institutions, academic labs, or biotech companies, often in training or mentorship rolesCorporate or research settings, focusing on data analysis, pipeline development, and reporting
Employer & Industry UsageUsed by academic programs, research institutes, and biotech companies for training purposesCommonly employed by biotech firms, pharmaceutical companies, and research organizations for ongoing data analysis

In summary, a Bioinformatics Fellowship is a training or educational position often aimed at early-career professionals or students, whereas a Bioinformatics Analyst is a more permanent role focused on analyzing biological data within industry or research settings.

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Bioinformatics Fellowship jobs near you
Infographic showing various Bioinformatics Fellowship job openings in the United States as of September 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 63% Full Time, 33% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Post Doctoral Fellow

Saint Louis, MO • On-site

Saint Louis University
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about Saint Louis Universityexternal

$47K - $64K/yr

Full-time

Re-posted 4 days ago

Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

36th of 633 rated colleges and universities

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Postdoctoral Fellow - Computational Biology / Bioinformatics
Focus: Multi-omics and Longitudinal Modeling in Alzheimer's Disease
Appointment: Full-time, 1-year term (renewable pending funding and performance)
Position Overview
We are seeking a highly motivated Postdoctoral Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer's disease (AD) and neurodegeneration.
The fellow will lead and contribute to advanced bioinformatics, multi-omics integration, and statistical modeling efforts using large, well-phenotyped longitudinal datasets (e.g., proteomics, transcriptomics, imaging, clinical, and biomarker data). The position is ideal for a candidate interested in mechanistic discovery, biomarker development, and translational neuroscience, with opportunities for high-impact publications and grant development.
Key Responsibilities
  • Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities
  • Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts
  • Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis, dimensionality reduction, clustering, trajectory modeling)
  • Lead reproducible analysis pipelines in R, Python, or related frameworks
  • Interpret results in biological and clinical context, with emphasis on Alzheimer's disease mechanisms and biomarkers
  • Prepare figures, tables, and methods for peer-reviewed manuscripts and conference presentations
  • Collaborate with clinicians, wet-lab scientists, and biostatisticians in an interdisciplinary environment
  • Contribute to grant proposals and progress reports as appropriate
  • Mentor graduate or undergraduate trainees in computational methods (optional, depending on interest)

Required Qualifications
  • PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, Systems Biology, or a related quantitative discipline
  • Strong experience with high-dimensional biological data analysis
  • Proficiency in R and/or Python for statistical computing and data analysis
  • Solid foundation in statistics and data modeling, particularly for longitudinal or cohort-based data
  • Demonstrated ability to work independently and manage complex datasets
  • Strong written and verbal communication skills in English
  • Evidence of productivity (e.g., peer-reviewed publications, preprints, or advanced projects)

Preferred Qualifications
  • Experience with longitudinal modeling (e.g., mixed-effects models, disease progression modeling)
  • Familiarity with neurodegenerative disease research, Alzheimer's disease, or aging biology
  • Experience with proteomics platforms (e.g., Olink, SomaScan, mass spectrometry)
  • Knowledge of multi-omics integration, network analysis, or pathway enrichment methods
  • Experience working with large consortium datasets (e.g., ADNI, AMP-AD, UK Biobank, similar)
  • Interest in translational research, biomarker discovery, or drug target identification
  • Experience with reproducible research practices (version control, documentation, workflow tools)

Environment & Opportunities
The fellow will join a highly collaborative research environment at the interface of neurology, neuroscience, and computational biology, with access to rich datasets and strong clinical context. The position offers:
  • Intellectual ownership of projects
  • Opportunities for first-author publications
  • Exposure to grant writing and translational research strategy
  • Career mentorship tailored to academic, industry, or hybrid career paths

Term & Compensation
  • One-year appointment with possibility of renewal based on funding and performance
  • Competitive salary and benefits commensurate with experience and institutional guidelines

Application Instructions:
Applicants should submit:
1) Curriculum vitae 2) Brief cover letter describing research interests and relevant experience 3) Contact information for 2-3 references
Grant-funded Post-Doctoral appointments may be terminated if grant funding ends.
This position does not currently sponsor J1, H1B, or O visas.
Function
Research Support
Scheduled Weekly Hours:
40
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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