Computational Scientist I- Center for Genomic Medicine

About the role

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.

Responsibilities

• 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
• Create pipelines, protocols, publications, and intellectual property

Requirements

• Experience with biological datasets, preferably large-scale genotyping and/or sequencing data
• Proficiency in at least one modern programming language. Experience with 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 will have some prior experience with statistical methods, pipelines and tools relevant to genomic data analysis
• Experience with publicly available genetic databases (eg GTEx, Roadmap, gnomAD, UCSC, GWAS catalog) preferred
• Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of biologists, laboratory scientists, bioinformaticians, and physicians
• Strong communication skills

Qualifications

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

Skills

• Deep computational background, including experience in statistical genetics, programming languages, and data science
• Ability to learn, develop, and apply new computational tools and methods

Benefits

The Broad provides a comprehensive 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.

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.