Postdoctoral Fellow- Meyerson Lab

Broad Institute • Cambridge, MA

9d • Onsite

About The Position

The Meyerson Lab at the Broad Institute of MIT and Harvard and Dana-Farber Cancer Institute is seeking a highly motivated postdoctoral fellow to develop and apply computational approaches to understand the genomic basis of human cancer and translate these discoveries into improved therapeutic strategies. Our laboratory uses genomic and genetic approaches to investigate the causes of human cancer, with a particular focus on lung cancer and other epithelial malignancies. Through these studies, we seek to understand the biological consequences of genomic alterations that drive tumor initiation, progression, and therapeutic response, and to identify vulnerabilities that can be exploited therapeutically. The successful candidate will lead an independent research project focused on the discovery and characterization of somatic alterations in cancer genomes, with particular emphasis on alterations occurring in the non-coding genome. The fellow will analyze large-scale cancer genome datasets generated from both short-read and long-read whole genome sequencing technologies, integrating information from tumor DNA and matched normal DNA to identify novel classes of cancer-associated genomic variation.

Requirements

• Ph.D. in Computational Biology, Computational Genomics, Bioinformatics, Statistical Genetics, Computer Science, Biostatistics, or a related quantitative discipline
• Extensive experience in genome analysis and cancer genomics
• Ph.D., M.D./Ph.D., or equivalent degree in a relevant field
• 0-2 + years of experience in an academic setting
• Strong communication skills
• Intellectual curiosity
• Ability to work both independently and collaboratively

Nice To Haves

• Strong experience analyzing whole genome sequencing data
• Experience working with somatic variant calling pipelines for SNVs, indels, copy number alterations, and structural variants
• Familiarity with short-read and long-read sequencing technologies such as Oxford Nanopore or PacBio and their applications in cancer genomics
• Experience with genomic data processing tools and workflow management systems in high-performance computing environments

Responsibilities

• Designing and leading research projects
• Developing and implementing computational methods
• Analyzing and interpreting genomic datasets
• Preparing manuscripts and presentations
• Collaborating with experimental and computational scientists across the Broad Institute and Dana-Farber Cancer Institute
• Contributing to a collaborative and intellectually stimulating research environment

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401(k) retirement plan
• Flexible spending accounts
• Health savings accounts
• 13 paid holidays
• Winter closure
• Paid time off
• Parental and family care leave
• Employee assistance program

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree