Lead Computational Biologist, Single-Cell & Spatial Omics

Broad Institute; Cambridge (MA); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

At least 13 paid holidays and paid time off

Job summary

The Broad Institute in Cambridge is seeking a motivated Postdoctoral Associate to lead data analysis for health and disease research. This role is integral in discovering mechanisms of inflammatory and autoimmune diseases through multifaceted data approaches.

Ideal candidates will have a Ph.D. in a quantitative field, with expertise in computational biology. A competitive salary and extensive benefits package are provided, promoting a collaborative research environment.

Qualifications

• Strong knowledge of a variety of biological areas of research with 0+ years of experience.
• Experience with Next Generation Sequencing pipelines.
• Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

• Oversee data generation and analysis for various collaborations.
• Develop and implement improvements for high-quality datasets.
• Use single cell and spatial transcriptomic approaches to understand tissue organization.

Skills

Scientific and numerical programming in Python or R

Knowledge of class ML methods and deep learning

Bioinformatic analyses

Excellent communication skills

Critical thinking and analytical skills

Education

Ph.D. in Computational Biology, Computer Science, Physics, Math, Statistics

Job description

The Broad Institute in Cambridge is seeking a motivated Postdoctoral Associate to lead data analysis for health and disease research. This role is integral in discovering mechanisms of inflammatory and autoimmune diseases through multifaceted data approaches.

Ideal candidates will have a Ph.D. in a quantitative field, with expertise in computational biology. A competitive salary and extensive benefits package are provided, promoting a collaborative research environment.