BACKGROUND

RESPONSIBILITIES

• 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

REQUIREMENTS

• 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

LOCALE

COMPENSATION

HOW TO APPLY

POLICY