Computational Scientist I, Center for Genomic Medicine

The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Broad Institute of MIT and Harvard is seeking a highly motivated, enthusiastic Computational Scientist to work with and support our research group in analyzing sequencing data to identify structural variants within the human genome using genomic population databases and aggregating phenotype and genotype datasets.

We are comprised of an interdisciplinary group of scientists, technicians, bioinformaticians, computational biologists, and postdoctoral fellows who work together in a mutually supportive and respectful environment. We are dedicated to characterizing genomic variation contributing to human disease, with a focus on the relationship between genome structure and function. The lab integrates molecular and computational genomics methods to investigate the genetic architecture of neuropsychiatric disorders and develop new technologies for translational applications in genetic diagnostics, and has served as a hub for novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders.

This position is hybrid, and candidates can work remotely as needed.

Responsibilities of the role

• Perform large-scale data analysis on genomics data and bulk sequencing data for collaborators.
• Mining of genetic databases and resources to evaluate loci for gene discovery.
• Conceive, implement and test genomics models; work with wet-lab researchers to translate these models into testable experiments; help analyze data from experiments.
• Evaluate and recommend new emerging data analysis tools.
• Create scientifically rigorous visualizations, communications, and presentations of results.
• Contribute to the generation of pipelines, protocols, publications, and intellectual property.

Education: A PhD degree in a quantitative discipline (such as computational biology, biostatistics, statistical genetics, computer science, bioinformatics, or biology with a strong quantitative background). Additional postdoctoral experience is preferred. Minimum 2+ years of direct work experience.

Minimum requirements

• Experience with biological datasets, preferably large-scale genotyping and/or sequencing data.
• Proficiency in at least one modern programming language; a scientific programming environment such as R or Python is preferred.
• Experience in cloud-based computing preferred, but not required.
• Familiarity with next-generation sequence data analysis tools; ideally prior experience with statistical methods, pipelines and tools relevant to genomic data analysis.
• Experience with publicly available genetic databases (e.g. GTEx, Roadmap, gnomAD, UCSC, GWAS Catalog) preferred.

Pay Range: $88,000.00/yr - $124,000.00/yr.