Computational Biologist Monthly 40 Hours Day Bwh - Neurology
Computational Biologist Monthly 40 Hours Day Bwh - Neurology
Posted on :
11-04-2025
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1 Vacancy
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Job Description
GENERAL SUMMARY/OVERVIEW STATEMENT:
The Computational Scientist will join the Evergrande Center for Immunologic Diseases at Brigham and Womens Hospital (BWH) and Harvard Medical School (HMS); a group of laboratories using genomic and other highthroughput technologies to dissect inflammatory pathways related to human disease. Working with investigators in Center laboratories the Computational Scientist will coordinate and perform computational analyses of the data generated in Center labs orchestrating statistical data integration and analysis.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Formulate analytic strategies and participate in the computational network analysis of datasets generated in the Center choosing optimal software tools and programming languages and developing novel statistical tools and algorithms when needed.
- Strategize with Center labs to define experimental paths that best allow exploitation and integration of experimental data and collaborate in the elaboration and writing of Center publications
- Choose implement and evolve the software tools and dataprocessing pipelines used in the Center harnessing resources open to Center labs on the Longwood campus or linked institutions.
- Advise and train Center researchers in the use of computational tools.
- Coordinate and lead input from other Center computational specialists
- Coordinate with BWH and HMS IT staff for access to highperformance computer resources and for the deployment and management of data analysis pipelines database and web servers.
- Special projects as assigned.
QUALIFICATIONS:
PhD or equivalent
35 years experience in Systems Immunology or Computational Biology
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
- Proven (published) skills in computational analysis of multidimensional genetic and genomic data
- Demonstrated knowledge of specialized computational languages and software tools used in genomic and genetic research.
- Have a proven track record and enthusiasm for working in a dynamic high performance research team environment;
- Strong team player and leadership skills; encourage and value collaboration and input from all team members.
- Ability to take full responsibility for projects and harness the needed resources.
WORKING CONDITIONS:
Normal office environment.
SUPERVISORY RESPONSIBILITY:
Responsible for training and orienting new staff. May serve as a team leader or supervisor in a smaller research setting.
Employment Type
Full-Time
Key Skills
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