Job Description

The Broad Institute is an amazing place - we apply our deep knowledge of human genetics to empower a revolution in biomedicine and accelerate the pace at which the world conquers disease. Through our partnerships with MIT, Harvard, and the Harvard teaching hospitals, we've become a worldwide hub of cutting-edge biomedical science. The Broad was founded to explore the applications of genomic medicine, and now conducts research in infectious disease, cancer, and inherited disease, along with basic research in the life sciences.

Faculty in the Diabetes Research Group are looking for exceptional candidates to contribute to large-scale biobank analyses in the UKBiobank, MGB Biobank, TOPMed, and AllofUs cohorts. We are an interdisciplinary team of computational biologists, bioinformatics analysts, software engineers, laboratory scientists and clinicians who are working together to investigate the genetic risk factors of type 2 diabetes with an unprecedented set of whole genome sequence data.

We are currently looking for a candidate to lead the organization and analysis of large complex datasets of human genetic and phenotypic data. The data will largely be coming from Electronic Health Medical Records or Biobanks. The candidate would oversee structuring the data into summary variables extraction of genetic variants from sequence or SNP array data files, generation of polygenic scores, and running of genetic association analyses. The main responsibilities would be 1) maintaining data organization for multiple data sources (including Mass General Brigham Biobank, UK Biobank, and All of Us Biobank), and 2) supporting team members in accessing and analyzing data.

Candidates will have the opportunity to work on projects, teams, and initiatives in a unique translational genomics environment, and under general supervision facilitate collaborative research projects with colleagues across institutions in Boston as well as national and international collaborative initiatives. We emphasize the research training and career development opportunities for all lab members, and the candidate will have chances to interact with the research teams within the Broad Institute and also the broader community in MIT, Harvard and the Harvard-affiliated hospitals across Boston.

PRINCIPAL DUTIES AND RESPONSIBILITIES

• Maintain data organization for multiple data sources (including Mass General Brigham Biobank, UK Biobank, and the All of Us cohort)




• Support team members in accessing and analyzing data




• Create analysis and data access pipelines for authorized team members




• Contribute to publications (including participating in study design) by writing and creating figures




• Regularly communicate project status updates via written communication and in person and remote team meetings




• Participate within a team of scientists to foster a culture of scientific excellence and collaboration

REQUIREMENTS

• Ph.D. in Biostatistics, Genetic Epidemiology, Statistical Genetics, Computational Biology, Computer Science or related field preferred, but talented applicants of all levels are encouraged to apply




• At least two years of experience working with genetic datasets is preferred - preferably large- scale genetic sequencing data and clinical data - in an academic, pharmaceutical or biotech environment is preferred




• Experience manipulating large complex datasets and performing analysis related to human disease




• Experience with coding in standard genomic analysis tools and programming languages (e.g., Python, R)




• Experience with large-scale genetic databases, electronic medical record data, and biobanks strongly preferred.




• Demonstrated ability to proactively remain up-to-date in current statistical genetics techniques and resources, and identify and benchmark novel software solutions against established reference datasets




• Experience working with genotyping and/or gene sequence data - including quality control and association analyses with clinical phenotypes




• Experience with cluster-based or/and cloud computing is required




• Track record of leading and/or contributing to scientific publications is required




• Strong interpersonal, influencing, and collaboration skills to work in a team-oriented, matrix environment, and the ability to work through conflicts




• Outstanding communication, organization, and time management skills




• Ability to adapt to and effectively manage changes in a fast paced and dynamic environment

#LI-POST

All Broad employees, regardless of work location, must be fully vaccinated for COVID-19 by Tuesday, October 12, 2021. Requests for exemption for medical or sincerely held religious beliefs will be considered.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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