Post Doctoral Fellow
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Job Location:
Saint Louis, MI - USA
Monthly Salary:
Not Disclosed
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Who is Saint Louis University Founded in 1818 Saint Louis University is one of the nations 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 Alzheimers Disease
Appointment:Full-time 1-year term (renewable pending funding and performance)
Position Overview
We are seeking a highly motivated Postdoctoral Fellowwith a PhD in Computational Biology Bioinformatics Biostatistics Data Science or a related quantitative fieldto 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 modelingefforts 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 datawith 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 pipelinesin 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 manuscriptsand conference presentations
Collaborate with clinicians wet-lab scientists and biostatisticians in an interdisciplinary environment
Contribute to grant proposalsand 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 Pythonfor 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 23 references
Function
Research SupportScheduled Weekly Hours:
40Saint 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 .
Key Skills
- Teacher Coaching
- Public Health
- Google Docs
- Classroom Experience
- Systems Engineering
- Research Experience
- Teaching
- Grant Writing
- Leadership Experience
- Mentoring
- Public Speaking
- Writing Skills
About Company
Saint Louis University (SLU), a top-ranked R1 research institution, offers 96 bachelor’s and 131 master’s and doctoral programs. Explore SLU’s academic excellence, innovative research, and mission-driven health care.
