Principal Bioinformatics Scientist

SHIFT:

Day (United States of America)

Seeking Breakthrough Makers

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A Brief Overview
The Principal Bioinformatics Scientist position is an advanced level position for a PhD level professional and serves as the final stage of the bioinformatics staff individual contributor. Further advancement in this area is either within the academic faculty ladder or bioinformatics management. The focus of the position is a completely enabled subject matter expert who performs both independent, high-functioning collaboration with biomedical investigators and independent bioinformatics methods research. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with minimal supervision and expectation for highly independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Principal Bioinformatics Scientist will define best practices in collaborative science as a bioinformatics domain scientific collaborator. Academic output is a focus of this position and is expected with no formal supervision. The Principal Bioinformatics Scientist is considered a preeminent scientist within the group and a leader in the bioinformatics discipline as commonly recognized by all stakeholders (collaborators, peers, management). The individual mentors other team members regularly. This individual is capable of leading complex bioinformatics projects critical to the organization based on both technical, academic, and social prowess.

The Principal Bioinformatics Scientist must be able to perform all responsibilities listed in the Bioinformatics Scientist III job description. All responsibilities listed in this description are additional.

What you will do

• Pre-Analysis (5%): Lead development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support.
• Understand and help define strategic evolution of shared data processing resources relative to industry
• Help define boundaries and limitations of shared resources such as complex data manipulation pipelines, etc.
• Help to define governance of shared resources
• Advocate for advanced solutions and effective management of shared resources
• Coding (5%): Code and generally support code and applications on behalf of collaborative project and/or team.
• Help define strategy, governance, and policy for code sharing, language standards, QC, and code reviews
• Data Analysis (20%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data with limited direction from collaborative team
• Lead multiple specialty analytical and/or biomedical areas that serve one or more collaborative teams
• Regularly promote analytical best practices in specialty analytical areas for adoption throughout the organization
• Collaboration (40%): Lead bioinformatics portion of scientific collaborations as the primary bioinformatics resource
• Serve as equivalent scientific voice/role to principal investigator
• As bioinformatics point, assume lead management role for projects of high complexity, including all aspects of timelines, risk identification and mitigation strategies, and communication mechanisms
• Lead project-based satisfaction and performance activities in order to achieve aims
• Lead continual objective, hard discussions about overall health of project and relationship
• Regularly develop new collaborations as a result of subject matter expert role throughout organization
• Academic Output (30%): Lead project-based presentations, grants, and manuscripts, with subsequent review by peers and mentors
• Lead or senior authorship on regular bioinformatics-focused manuscripts and publications
• Lead or senior authorship on