Postdoctoral Fellow â“ Computational Biology / Bioinformatics

Focus: Multi-omics and Longitudinal Modeling in Alzheimers 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 Alzheimers 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 Alzheimers 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, Alzheimers 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 2â“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. 

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About Saint Louis University

Saint Louis University(SLU) is a private, co-educational Jesuit university located in St. Louis, Missouri, United States. Founded in 1818 by the Most Reverend Louis Guillaume Valentin Dubourg SLU is the oldest university west of the Mississippi River. The University has campuses in St. Louis, Mo. and Madrid, Spain. SLU values academic excellence, life-changing research, compassionate health care, and a strong commitment to faith and service. For nearly 200 years, the University has gone beyond teaching facts and figures, encouraging students to form ideas and identities. Today, SLU students are nearly 14,000 strong. The University has invested vast resources to advance academic programs and enhance the student experience. SLU also is a major research institution where premier researchers tackle local and global challenges. And the University's commitment to community service has earned it national acclaim and bolstered its status as a character-building college.

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