The Broad Institute of MIT & Harvard, a world leader in genetic research, is looking for exceptional candidates to join the Cardiometabolic Disease Program. The successful candidates will join an interdisciplinary team of computational biologists, bioinformatics analysts, cell biologists and clinicians who are working together to identify new genes that lead to heart disease, and to discover new therapeutics. The current project will focus on myocardial infarction and atrial fibrillation under the direction of Drs. Kathiresan and Ellinor.
The candidate will join the Cardiometabolic Disease Program to develop computational tools and lead the data analysis for projects related to heart disease. Projects will include computational and statistical analysis of sequencing studies, contributing technically and logistically with existing collaborators to international consortia, statistical methods development and analysis of cardiovascular sequence data, and the integration of genetic variation and gene expression data into pathway network analysis. The successful candidate will work closely with the project leadership team to carry out analytical deliverables and strategies. Must thrive in an academic/professional atmosphere, where interdisciplinary teams are central to project success.
- Actively lead the data analysis for a set of genomics projects related to heart disease.
- Design and implement novel computational and statistical approaches and frameworks to analyze and interpret cardiac data sets.
- Work closely with Project Managers to ensure analytical activities are within scope, timeline and reach the overall aims of the collaboration.
- Regularly communicate accomplishments and progress at project team meetings.
- Proactively communicate with data analysis groups to help ensure analytical goals are achieved.
- Coordinates and interacts closely with other scientists on data quality and file management; implements these formats and metrics for project data.
- Directly involved in the genetic interpretation and application of results from cardiovascular genome data.
- Actively participates in the preparation of manuscripts for publication, scholarly reports and presents at scientific conferences.
- Provides input to staffing of project teams.
- Assists in the mentorship of post-doctoral staff and graduate students. Shares expertise, provides training and guidance as needed.
- Participates within a team of scientists to foster a culture of scientific excellence.
- May provide guidance, train, or mentor junior computational staff
- Ph.D. degree in Computer Science, Engineering, Physics, Math, Bioinformatics, Biology or other relevant scientific discipline with 2+ years related experience required.
- Must have demonstrated advanced experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology, and skill and experience with statistical analysis is strongly preferred
- Familiarity with next-generation sequence data analysis tools, ideally for Illumina; in particular, experience with human or mammalian genome sequence data is a plus
- Familiarity with a range of sequence alignment tools
- Thorough understanding of statistics preferred
- Must have demonstrated proficiency with several of the following technologies: Perl, Python, Java, Matlab, R, C, C++, Unix
- Basic understanding of molecular biology and next generation DNA sequencing
- Some familiarity with gene expression profile (microarray) data analysis
- Ability to work independently while making necessary connections with experts in various computational analysis groups
- Self starter, highly motivated
- Entrepreneurial spirit
- Excellent communication skills
- Excellent organization and time management skills
If interested, please apply online at http://track.tmpservice.com/ApplyClick.aspx?id=2191074-2647-8121