Tuesday, March 11, 2014

Director - Applied Bioinformatics - Genomic Health - San Francisco


Job description
The Director of Applied Bioinformatics will be directly responsible for designing and delivering robust, scalable data analysis solutions to extract biological meaning from next generation genomic data. This pivotal position will collaborate with colleagues in our Applied Genomics Laboratory, Product Sciences, Process Development, Data Management, Biostatistics and IT to develop pipeline solutions that enable Genomic Health to discover and develop next generation product content. You should have experience developing next generation sequencing data analysis methods for DNA and/or RNA sequence as well as software engineering expertise such as Java, Perl, Python programming experience; grid and/or cloud computing familiarity; database experience; experience with a workflow management technology (Galaxy, Pipeline Pilot, Kepler, etc.) is a definite advantage. You will manage a team that is designing, building, delivering and supporting high throughput bioinformatics pipelines to support our ongoing NGS biomarker discovery studies.

The ideal candidate will have a track record of both innovative and pragmatic bioinformatics methods development and delivery, preferably in an applied, high throughput setting (industry or genome center). You will be a proven team player with leadership skills and experience.

Responsibilities:
Leadership of the team and the project developing internal, research grade bioinformatics analysis pipelines
Informatics technology assessment and adoption to support NGS data analysis for biomarker discovery
Collaboration with data producers and data consumers to ensure that the pipelines serve internal customer needs including the Genomic Sciences Lab functions, Data Management and Biostatistics teams
Active partnering with IT to ensure efficient use of Genomic Health’s substantial compute resources
In addition to managing the immediate design and specification for pipeline improvements and technology choices, you will also work to anticipate transition of NGS data analysis to product development and, ultimately, the commercial lab, and employ technology choices and development practices that will simplify pipeline maturation.
Team development including individual team member coaching, goal setting, technical mentorship and enforcement of best practices
This position is a People Leader position
Other duties as assigned.
Desired Skills and Experience
Ph.D. or M.S. in Bioinformatics, Computer Sciences or a related field and at least 10 years of post-graduate experience
Proven track record of hiring and development of staff, building successful teams
Experience designing and developing research grade bioinformatics next generation sequencing data analysis solutions
Demonstrated expertise in at least one programming language (Java, Perl, Python, etc.), proficiency in Linux environment, knowledge of database technologies (SQL Server, Oracle, MongoDB), understanding of web services technologies, experience with source control practices and tools (Perforce, Git, etc.)
Enthusiasm to both lead and contribute to solutions that support our internal customer base
Demonstrated technical and people leaderships skills and a history of success working in cross functional teams
Able to integrate and apply feedback in a professional manner
Able to prioritize and drive to results with a high emphasis on quality
Demonstrated excellence as a team player
Strong communicator with ability to maintain open communication with internal employees, managers and customers as needed, ability to communicate effectively with technical and non-technical end-users

DESIRED
Experience developing both locally and cloud deployed bioinformatics applications
Experience with technical assessment of third party software solutions – willingness to lead a combined buy and build strategy
Experience with open source or commercial workflow management software (Galaxy, Pipeline Pilot, Inforsense) and LIMS (Clarity,
Understanding of statistical packages such as R or Matlab
Project management experience or, at least, knowledge of project management and software development practices

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