Home Postdoc Abroad Postdoctoral Fellow – Computational Biology / Bioinformatics, Saint Louis University, USA

Postdoctoral Fellow – Computational Biology / Bioinformatics, Saint Louis University, USA

Postdoctoral Position in USA

Postdoctoral Fellow – Computational Biology / Bioinformatics: Saint Louis University is seeking a highly motivated Postdoctoral Fellow to join an interdisciplinary research program focused on Alzheimer’s disease and neurodegeneration. The position will involve advanced bioinformatics, multi-omics integration, and statistical modeling using large longitudinal datasets.


Designation

Postdoctoral Fellow


Location

Saint Louis, MO


Research Area

  • Computational Biology
  • Bioinformatics
  • Alzheimer’s Disease
  • Neurodegeneration
  • Multi-Omics Integration
  • Longitudinal Modeling

Eligibility/Qualification

CriteriaDetails
Required QualificationsPhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, Systems Biology, or related quantitative field
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
Strong written and verbal communication skills in English
Evidence of productivity (peer-reviewed publications, preprints, or advanced projects)
Preferred QualificationsExperience with longitudinal modeling (mixed-effects models, disease progression modeling)
Familiarity with neurodegenerative disease research, Alzheimer’s disease, or aging biology
Experience with proteomics platforms (e.g., Olink, mass spectrometry)
Knowledge of multi-omics integration, network analysis, or pathway enrichment methods

Job Description

The Postdoctoral Fellow will:

  • Perform computational analysis of large-scale omics datasets (proteomics, transcriptomics).
  • Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts.
  • Develop and apply statistical and machine-learning models (mixed-effects models, survival analysis).
  • Lead reproducible analysis pipelines in R, Python, or related frameworks.
  • Collaborate with clinicians and scientists in an interdisciplinary environment.
  • Prepare figures, tables, and methods for peer-reviewed manuscripts and conference presentations.
  • Contribute to grant proposals and progress reports.
  • Mentor graduate or undergraduate trainees in computational methods (optional).

How to Apply

Interested applicants should submit the following documents:

  1. Curriculum Vitae
  2. Brief cover letter describing research interests and relevant experience
  3. Contact information for 2–3 references

Last Date to Apply

Applications will be accepted until the position is filled; however, early application is encouraged.


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.

Link

LEAVE A REPLY

Please enter your comment!
Please enter your name here