Postdoctoral Fellow: Spatial Multi-Omics Lead

Broad Institute of MIT and Harvard; Cambridge (MA); On-site; USD 70,000 - 92,666; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Paid holidays

Parental and family care leave

Paid time off

Employee assistance program

Job summary

The Broad Institute of MIT and Harvard seeks a highly motivated postdoctoral computational analyst to lead spatial multi-omics data projects in cancer research. You will design analyses, develop computational strategies, and collaborate with Dr.

Irene Ghobrial’s lab on multiple myeloma cohorts, including spatial transcriptomics and single-cell profiling. You will work with a cross‑disciplinary team of scientists, engineers, and clinicians, mentoring junior members while advancing rigorous,

Qualifications

• PhD in Bioinformatics, Computer Science, Machine Learning, Engineering, Mathematics, Statistics, Physics, or related field.
• 0-1+ years of post‑graduate experience.
• Experience with computational analysis, algorithm development, and statistics.
• Hands-on experience in spatial multi‑omic data analysis; experience with other emerging technologies is a plus.
• Proficiency in Python, R, or Matlab.

Responsibilities

• Lead design and execution of data analysis strategies for spatial multi‑omics projects.
• Drive the scientific vision of the project and spearhead computational approaches.
• Explore and develop tools for novel data types.
• Develop new spatial/genomic analysis methods to predict tumor outcomes and subtypes.
• Create, test, and present statistical models; analyze experimental data.
• Present results to diverse audiences and prepare reports and talks.
• Mentor junior team members and contribute to teaching.

Skills

Spatial multi-omics analysis

Machine learning

Python

R

Statistical analysis

Communication

Education

PhD in Bioinformatics or related quantitative field

Tools

Matlab

Job description

The Broad Institute of MIT and Harvard seeks a highly motivated postdoctoral computational analyst to lead spatial multi-omics data projects in cancer research. You will design analyses, develop computational strategies, and collaborate with Dr.

Irene Ghobrial’s lab on multiple myeloma cohorts, including spatial transcriptomics and single-cell profiling. You will work with a cross‑disciplinary team of scientists, engineers, and clinicians, mentoring junior members while advancing rigorous,