Address
Form of work
SalaryJob Description
The
Talkowski laboratory
, based at the Broad Institute of MIT & Harvard
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 callsets 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.
Key Responsibilities
- 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
- Ph.D., or Masters + 3 years experience, or Bachelor’s + 6 years experience in a computational discipline (e.g. Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics). Exceptional candidates without these precise credentials will also be considered.
- Proficiency with coding in Python, MatLab, Unix/Linux, Java, C++, or R.
- 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 All of Us and gnomAD.
- All Computational Scientists at Broad are encouraged to continue their technical growth by engaging with the wider computational community through Broad's vibrant Models, Inference & Algorithms Initiative (broadinstitute.org/mia).
The Talkowski Lab is an interdisciplinary group of scientists, technicians, bioinformaticians, computational biologists, and postdoctoral fellows who work together in a mutually supportive and respectful environment. Ideas are freely shared, and contributions are highly valued. We are dedicated to the characterization of genomic variation contributing to human disease, focusing on the relationship between genome structure and function.
The lab integrates molecular and computational genomics methods to investigate the genetic architecture of neuropsychiatric disorders, as well as to develop new technologies for translational applications in genetic diagnostics. The lab has represented a hub of novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders.
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.
Check out this video for a look into our community!
