Job Description

About the Lab

The Talkowski laboratory, based at the and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School, is seeking exceptional Computational Scientists I to join our Broad Structural Variation Group and contribute to the All of Us Research Program. 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.

The All of Us research program is in the process of generating genomic data for a national biobank of up to 1M individuals. Our team is engaged in generating structural variation data for open release to the community under this resource. We are seeking a candidate to generate structural variant call sets and analyses from genome sequencing data for the All of Us Research Program and related structural variant resources such as the genome aggregation database (gnomAD). This role will involve applying computational methods at scale in the cloud, assessing data quality, and analyzing patterns of structural variation in a large and diverse dataset.

Successful candidates are expected to excel at critical thinking, be quick learners of new analytical approaches, and be capable of applying and developing novel computational methods for solving 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 ready and excited to collaborate with an interdisciplinary team.

Job Description

We are seeking a candidate to performcomputational analyses under the supervision of the group leader in a timely manner.Successful candidates are expected to excel at critical thinking, be quick learners of new analytical approaches, and be capable of applying novel computational methods for solving complex problems. Candidates should have practical experience with programming languages, including Matlab, Java, C , Perl, and Python. Must also haveexperience with computational analysis, algorithm development, and statistical analysis.Knowledge of existing bioinformatics analysis tools and methods is a significant plus.

Key Responsibilities/Skills:

• Apply computational methods for structural variant discovery to human genomes in projects such as the All of Us Research Program and gnomAD.

• 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 project deliverables, timelines, and budgets.

• Prepare high-quality publications and oral presentations.

• Proactively bridge scientific communities.

Requirements:

• BS with 2 years of related experience.

• Practical experience with scientific computing tools (e.g., especially R)

• Practical experience with programming languages (e.g., Matlab, Java, C , Perl, Python)

• Experience with computational analysis, algorithm development, and statistics.

• Knowledge of existing bioinformatics analysis tools, methods, and databases is a significant plus.

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.