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, Geo Mx, 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/Tensor Flow).
* 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 Geo Mx, 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
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* Required Skills:

** Bioinformatics, Computational Analysis, Datasets, Large Scale Data Processing, Scientific Writing, Single-Cell Genomics, Wet Lab
** Preferred

Skills:

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** Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please  if you need an accommodation during the application or hiring process.

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