Computational Associate II - Broad Structural Variation Group

The Talkowski laboratory, based in the Stanley Center for Psychiatric Research at the Broad Institute and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), is seeking exceptional computational associates to join our Broad Structural Variation Group. The successful candidate will join a team of leading researchers in methods development and computational operations for the discovery, annotation, functional prediction, trait association, and population genetic mapping of structural variation in the human genome.

Successful candidates are expected to excel in critical thinking, be quick learners of new analytical approaches, and be capable of applying and developing novel computational methods to solve complex problems. The successful candidate will have a deep background and an established track record in mathematics, programming, and data science. They will have exceptional organization and communication skills and be a collaborative member of an interdisciplinary team.

Key Responsibilities:

• Apply computational methods for structural variant discovery to human genomes.
• Perform quality control assessments with a deep understanding of the data and the underlying biology.
• Work closely with biologists to interpret and understand the data and results.
• Develop new computational methods and improve existing methods for genomics analyses.
• Track and communicate progress to internal and external stakeholders at meetings and over Slack.
• Plan and execute on project deliverables, timelines, and budgets.
• Prepare high-quality publications and oral presentations.
• Proactively bridge scientific communities.

Requirements:

• Master's + 1 year experience, or Bachelor’s + 3 years experience in a computational discipline (e.g., Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics).
• Proficiency with coding in at least one programming language, such as Python, R, C++, or Java.
• Experience with designing computational methods and tools.
• Excellent oral and written English communication skills.
• Ability to work independently and to contribute to a team science culture.
• Desire to meet the milestones and deliverables for the production of national and international community resources such as AoU and gnomAD.