Senior Computational Biologist (Hybrid) - Translational

MacroGenics, Inc.; Rockville (MD); Hybrid; USD 116,000 - 201,000; Full time

Benefits offered by this job

Medical/dental/vision benefits

401(k) with employer match

Employee stock purchase plan (ESPP)

Paid time off & parental leave

Job summary

MacroGenics, Inc. is seeking a highly motivated Computational Biologist to join the Translational Bioinformatics group in Rockville.

The role focuses on translating genomics, proteomics, flow cytometry, and pathology data into clinical insights that drive our cancer programs. A hands-on coder will build robust, scalable data science tools and collaborate across Translational Medicine, Biostatistics, and Clinical Development.

Qualifications

• PhD in a quantitative field (Computational Biology, Bioinformatics, Genomics, etc.).
• 0–2 years post-PhD for Sr. Scientist I; 3+ years for Sr. Scientist II; independent project ownership.

Responsibilities

• Lead multi-omic data integration across pipelines from various data sources.
• Design scalable pipelines in cloud computing environments.
• Ensure reproducibility with version control, containerization, and thorough documentation.
• Develop and maintain custom scripts and analytical tools for complex questions.
• Translate raw multi-omic data into actionable reports and visuals for decision making.
• Collaborate with Clinical Development, Biostatistics, and Translational Medicine.

Skills

Python

Cloud computing

Version control

Data visualization

Computational biology

Oncology/Immunology

Education

PhD in a quantitative field

Tools

Docker

Kubernetes

Linux HPC

Job description

MacroGenics, Inc. is seeking a highly motivated Computational Biologist to join the Translational Bioinformatics group in Rockville.

The role focuses on translating genomics, proteomics, flow cytometry, and pathology data into clinical insights that drive our cancer programs. A hands-on coder will build robust, scalable data science tools and collaborate across Translational Medicine, Biostatistics, and Clinical Development.