Associate Scientist, Post Doc Fellow- Computational Immunology

MSD Malaysia; Cambridge, Northern (MA, KY); Hybrid; USD 82.000 - 92.000; Vollzeit

Benefits dieser Stelle

Mentorship from experts

Publish opportunities

Access to HPC/Cloud resources

Zusammenfassung

MSD Malaysia is seeking a computational biologist to advance translational research in a dynamic environment. You will translate complex genomics data into actionable insights, develop pipelines for single-cell and spatial omics, and collaborate with biology, immunology, and translational medicine teams.

The role emphasizes publishing high-impact work, presenting at major conferences, and mentoring colleagues while leveraging GPU computing, HPC clusters, and AWS to scale analyses.

Qualifikationen

• Strong programming skills in R and Python.
• Experience analyzing large-scale genomics or multi-omics datasets.
• Background in immunology or translational research.
• Publication record in computational biology or related fields.
• Familiarity with cloud computing and HPC environments.
• Hands-on experience with single-cell and spatial omics analyses.

Aufgaben

• Develop scalable computational pipelines for scRNA-seq and spatial omics.
• Collaborate with cross-disciplinary teams across biology and translational medicine.
• Publish first-author manuscripts in leading journals.
• Present findings at international meetings.
• Mentor junior scientists and contribute to project planning.

Kenntnisse

Genomics data analysis

Single-cell omics

Python

R

GPU computing

AWS cloud

Seurat/Scanpy/scVI

Tools

Seurat

Scanpy

scVI

CellChat

MERFISH

CosMx

Visium

Jobbeschreibung

* Receive mentorship from experts across computational biology, immunology, translational medicine, and drug discovery.* Publish first-author manuscripts in leading scientific journals.* Present at major international scientific conferences.* Develop expertise in cutting-edge single-cell, spatial, and multi-omics technologies.* Build a strong interdisciplinary network across academia and industry.* Gain experience translating complex biological datasets into actionable therapeutic insights.* 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.* 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.## *The salary range for this role is:* $82,000-$92,000**Los Angeles Residents Only:** We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance