Postdoc: Computational Lead in Spatial Multi-Omics

Broad Institute; Cambridge (MA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Disability insurance

401(k) retirement plan

Paid holidays

Job summary

The Broad Institute's Getz Lab is seeking a postdoctoral computational analysis lead to drive spatial multiomics projects in cancer research. You will design and execute data analyses, develop new computational tools, and collaborate with clinicians and wet-lab scientists on multiple myeloma studies.

You will lead methodological development, apply ML/statistical models, and present findings. Competitive benefits and a collaborative, mentoring environment await.

Qualifications

• PhD in a quantitative field such as bioinformatics, CS, ML, or related discipline.
• 0–1+ years post‑doc experience.
• Experience with computational analysis, algorithm development, and statistics.
• Experience analyzing spatial multi‑omics data; single-cell RNA-seq and WGS knowledge.

Responsibilities

• Lead data analysis strategies for spatial multiomics projects.
• Drive scientific vision and computational strategies.
• Develop tools for novel data types.
• Develop spatial/genomic methods to predict tumor outcomes and therapy response.
• Create statistical models and present results.
• Prepare reports and presentations; mentor juniors.

Skills

Bioinformatics

Computational analysis

Machine learning

Programming

Collaboration

Communication

Education

PhD in Bioinformatics/CS/ML/Engineering/Math/Stats/Physics

Tools

Python

R

Matlab

Job description

The Broad Institute's Getz Lab is seeking a postdoctoral computational analysis lead to drive spatial multiomics projects in cancer research. You will design and execute data analyses, develop new computational tools, and collaborate with clinicians and wet-lab scientists on multiple myeloma studies.

You will lead methodological development, apply ML/statistical models, and present findings. Competitive benefits and a collaborative, mentoring environment await.