R371246 Associate Scientist Postdoctoral Fellow - Computational Precision Genetics

Job Description

Be a part of the legacy: Postdoctoral Research Fellow Program

Our Research Laboratories' Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery.

Position summary

The Precision Genetics group in the Data, AI and Genome Sciences Department seeks a Postdoctoral Research Fellow to drive computational work on a translational project developing a reusable multi-omics and AI/ML framework to discover mechanism-based companion diagnostic (CDx) biomarkers that predict treatment response in autoimmune diseases. The role combines organoid drug-profiling, multi-modal functional assays, single-cell and spatial transcriptomics, and development of interpretable AI/ML models to identify predictive biomarkers and benchmark model fidelity against clinical datasets.

Key responsibilities

• Analyze multi-modal pre- and post-treatment readouts, including epithelial barrier assays, cytokine profiling, single-cell RNA-seq, and spatial transcriptomics (e.g., 10x Visium, GeoMx, Stereo-seq).
• Develop, benchmark, and maintain reproducible computational pipelines for bulk, single-cell, and spatial transcriptomics data processing (QC, alignment, cell-type annotation, and spatial analyses).
• Implement multi-omic integration strategies combining spatial transcriptomics, single-cell expression, cell composition estimates, and genotype/SNP data.
• Design, train, evaluate, and interpret AI/ML models (supervised and unsupervised) for predictive biomarker discovery and companion diagnostic candidate prioritization, emphasizing feature selection and model explainability.
• Document methods, workflows, and results thoroughly; prepare and contribute to manuscripts, conference presentations, and IP/translation activities as appropriate.
• Collaborate effectively with wet-lab scientists, clinicians, and computational colleagues, present results to the team and stakeholders.

Required qualifications

• Ph.D. or completion within 6 months in Computational Biology, Bioinformatics, Systems Biology, Genomics, Biomedical Engineering, Computer Science (with bioinformatics experience), or related discipline.
• Demonstrated experience analyzing single-cell and/or spatial transcriptomics data processing, clustering, differential expression, spatial analysis).
• Proven ability to apply advanced AI/ML to biomedical data for biomarker discovery/patient stratification, using rigorous evaluation and reproducible Python/R pipelines
• Strong programming skills in Python and/or R and familiarity with relevant libraries/tools (Seurat, Scanpy, Squidpy, Bioconductor, scikit-learn, PyTorch/TensorFlow).
• Strong statistical skills and experience working with high-dimensional biological data; excellent data visualization abilities.
• Excellent written and oral communication skills and evidence of productivity appropriate to career stage (publications, code repositories, or preprints).
• Proven ability to work collaboratively in interdisciplinary teams and manage multiple projects concurrently.

Preferred qualifications

• Hands-on experience generating single-cell or spatial transcriptomics datasets from organoid models (10x Visium, Nanostring GeoMx, MERFISH, Stereo-seq) or close collaboration with teams that generate such data.
• Familiarity with genotype/SNP data processing and integration (GWAS summary statistics, imputation, genotype-phenotype association analyses).
• Experience with cloud platforms (AWS) and high-performance computing (HPC) environments.
• Prior experience in translational biomarker discovery or developing clinically oriented predictive models.

postdoctoralopportunities

Required Skills:
Bioinformatics, Computational Analysis, Datasets, Large Scale Data Processing, Scientific Writing, Single-Cell Genomics, Wet Lab

Preferred Skills:

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Employee Status:
Regular

Relocation:
Domestic

VISA Sponsorship:
Yes

Travel Requirements:
10%

Flexible Work Arrangements:
Not Applicable

Shift:
Not Indicated

Valid Driving License:
No

Hazardous Material(s):
N/A

Job Posting End Date:
12/3/2025
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Requisition ID: R373447