Computational Scientist I - Translational Analysis Group
JOB DESCRIPTION
The sequencing and analysis groups at Broad Institute have a 25-year history of being a driving force in transformative projects from the Human Genome Project to The Cancer Genome Atlas, and beyond. The group is the largest generator of human sequencing data in the world and is constantly looking for new ways to support impactful science in both big and small projects serving both the research and clinical communities.
The Broad Genomics group functions like a small biotech company within the larger Institute - we have a highly collaborative environment with a team of biologists, engineers, project and product managers, and computational scientists.
We seek an experienced computational scientist to work with us in the Translational Analysis Group. The goal of this group is to support analytical activities for both internal and external groups who are undertaking both research and clinical projects. This group will interact with a wide variety of collaborating groups from both the germline and somatic disease communities - providing great opportunities for growth and building a network.
The successful candidate will provide rigorous data analysis and spearhead/oversee projects requiring computational analysis using tools and pipelines developed in-house or externally, when appropriate.
The candidate should be an expert at handling and analysis of high-throughput datasets, and be able to integrate data from multiple diverse sources, bringing critical organizational, time-management, and data-management skills to the position. Candidates with the correct experience will also have an opportunity to serve as Technical Supervisors for our CLIA certified, CAP accredited clinical laboratory.
REQUIREMENTS
* Ph.D. in biological, mathematical, physical, or computer science and advanced training in biology with >1 years of experience involving computational analysis and visualization. * Ability to translate high-level data-processing and analysis into concrete tasks * Experience with scientific computing software (Python, R, MATLAB, etc.) required * Experience implementing custom computational tools and software for bioinformatics required * Familiarity with domain-specific software tools (Picard, GATK, Mutect etc.) preferred * Must possess strong organizational skills and an affinity for problem solving * Excellent written and verbal communication skills, and the ability to work both independently and collaboratively are strongly preferred * Must possess ability to manage multiple simultaneous long-term projects while meeting frequent project deadlines * Wet lab experience desirable but not required
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).