Postdoctoral Fellow- Meyerson Lab

Description

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.

Requirements

• 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.
• 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.
• Potential Project Areas Include:
• Discovery and characterization of somatic non-coding mutations and structural variants that contribute to tumorigenesis.
• Development of computational methods for analysis of short-read and long-read whole genome sequencing data from cancer and matched normal samples.
• Identification and interpretation of complex structural variation, copy number alterations, chromosomal rearrangements, and mutational processes in cancer genomes.
• Integration of genomic, transcriptomic, and epigenomic datasets to determine the functional consequences of non-coding genomic alterations.
• Application of statistical and machine learning approaches to improve detection and interpretation of somatic variation in cancer.
• Investigation of genomic mechanisms underlying cancer development, progression, and therapeutic resistance, particularly in lung cancer.

Qualifications

• Ph.D. in Computational Biology, Computational Genomics, Bioinformatics, Statistical Genetics, Computer Science, Biostatistics, or a related quantitative discipline, with extensive experience in genome analysis and cancer genomics.
• 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.

Skills

• Strong communication skills, intellectual curiosity, and the ability to work both independently and collaboratively are essential.

Benefits

The Broad provides a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.

Pay

The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.

Contact

The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.