Associate Scientist, Post Doc Fellow- Computational Immunology

MSD • Cambridge, MA

6d • $87,300 - $137,400

About The Position

We are seeking a highly motivated Postdoctoral Research Fellow to join a cross-functional translational research team focused on understanding the cellular and tissue mechanisms underlying chronic immune-mediated inflammatory diseases. The successful candidate will leverage large-scale single-cell and spatial transcriptomics datasets from human tissue cohorts to identify disease-driving cellular programs, tissue microenvironments, and translational biomarkers.

This position offers a unique opportunity to work at the interface of computational biology, immunology, spatial genomics, and translational medicine while contributing to high-impact research programs spanning multiple therapeutic areas. The project aims to transform emerging multi-omics datasets into biological insights, biomarker hypotheses, disease-mechanism models, and translational strategies relevant to immune-mediated inflammatory diseases, including hidradenitis suppurativa (HS) and related disorders.

Requirements

• Must currently hold a PhD OR Receive a Ph.D. no later than spring 2027
• Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Genomics, Computer Science, Statistics, or a related discipline.
• Strong programming skills in R and/or Python.
• Experience analyzing large-scale genomics or multi-omics datasets.
• Hands-on experience with GPU computing, HPC clusters, and AWS cloud environments for large-scale single-cell and spatial omics analyses.
• Ability to develop and optimize scalable computational pipelines for scRNA-seq, spatial transcriptomics, and multimodal biological data.
• Demonstrated publication record in computational biology, genomics, immunology, or related fields.
• Strong scientific communication, presentation, and collaborative skills.

Nice To Haves

• Single-cell omics analysis workflows (e.g., Seurat, Scanpy, scVI, CellChat, MultiNicheNet, or related tools).
• Spatial transcriptomics platforms such as Xenium, CosMx, Visium, MERFISH, or related technologies.
• Background in immunology, inflammatory diseases, tissue biology, or translational research.
• Machine learning, network analysis, systems biology, or multimodal data integration.
• Familiarity with cloud computing and high-performance computing environments.
• Working with large-scale human cohort datasets.

Responsibilities

• Analyze large-scale single-cell RNA-seq, spatial transcriptomics, and related multi-omics datasets.
• Develop and implement computational methods for data integration, annotation, and interpretation.
• Apply advanced bioinformatics, statistical modeling, machine learning, and network biology approaches.
• Integrate transcriptomic, spatial, proteomic, and clinical data to generate biological insights.
• Collaborate closely with immunologists, translational scientists, clinicians, and computational researchers.
• Lead publication-quality analyses and prepare manuscripts for peer-reviewed journals.
• Present findings at internal scientific forums and external conferences.
• Contribute to the development of innovative analytical methods and reusable computational resources.
• Collaborate across Data, AI and Genome Sciences (DAGS), Immunology Discovery, and Translational Medicine teams.

Benefits

• medical, dental, vision healthcare and other insurance benefits (for employee and family)
• retirement benefits, including 401(k)
• paid holidays
• vacation
• compassionate and sick days
• annual bonus
• long-term incentive

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree