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Opportunity: Director of the Center for Biomedical Data Sciences @ Oklahoma Medical Research Foundation -- Oklahoma City, OK (US)
Submitted by Ryan V; posted on Friday, December 10, 2021
OVERVIEW
OMRF's excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF strives for an inclusive environment and we especially encourage those that identify as women, or a member of an underrepresented minority to apply.
RESPONSIBILITIES
The Oklahoma Medical Research Foundation (OMRF) seeks an inaugural Director for its new https://omrf.org/research-faculty/research-centers/center-for-biomedical-data-sciences-about/. The Director will have significant support and resources to establish this new center. OMRF is one of the oldest independent medical research institutes in the U.S. Its internationally recognized scientists conduct laboratory and patient-oriented research in autoimmunity, cardiovascular biology, cell biology, genetics and genomics, aging and metabolism, and other topics.
Center Mission:
The amount and types of data generated in biomedical research are expanding at an unprecedented pace. From large-scale genomic sequencing to metabolomic and high-dimensional imaging analyses, expertise and leadership are needed to enable more effective integrated, systems-level analyses to gain biologically and clinically meaningful insight from complex data. Comprehensive data analytics involving biostatistical methods, data modeling, and visualization tools are utilized in all types of research at OMRF, from basic model organism studies to clinical investigations. The mission of the Center is to bring cutting-edge, integrated data analytic knowledge and support to the OMRF community. First, the Center will serve as a hub for recruiting experts who will work collaboratively across a range of scientific disciplines in all research programs to develop and deploy innovative data science support. This activity will expand collaboration between and within research programs at OMRF. Second, the Center will function as an educational resource to train the OMRF scientific community on how to implement data analytic tools to advance their scientific goals. Third, the Center will provide leadership in organizing computational and related resources, in strategic planning to support basic and clinical research, and in expanding the research opportunities at OMRF.
Center Director Position Description:
The Director of the Center for Biomedical Data Sciences will work with senior leadership to develop and execute a comprehensive strategy for advancing biomedical data analytics with research teams throughout OMRF. The Director will report to the VP of Research and the VP of Clinical Affairs and will be responsible for fulfilling the mission of the Center, recruiting and managing Center members, overseeing research-focused computational and analytic resources, and contributing to strategic planning at OMRF. The Director will work closely with OMRF's program chairs and investigators to build a team of collaborative Center members that support diverse, biomedical research programs. The Director and Center members will be evaluated through a new collaborative data science career ladder emphasizing multi-investigator and co-investigator activity. As the founding Director, the successful candidate is expected to provide leadership in defining the best practices for high-dimensional data utilization and required resources (tools and training) to help OMRF thrive in an expanding data-intensive research environment. The ideal candidate will be a driving force for collaborative, multi-investigator funding initiatives.
Duties include:
- Participates in establishing strategic plans and objectives. Provides high-level guidance and support to Center team members and OMRF scientists. Regularly interacts with leadership on matters affecting the organization.
- Anticipates and recognizes data analytic challenges and makes recommendations for solutions and allocation of resources needed to meet the research goals of OMRF investigators.
- Maintains a nationally-recognized reputation in biomedical data sciences through collaborative scholarly activity, including multi-investigator publications and extramural funding, participation in national meetings, and development of new data analytic techniques and approaches.
- Leads, mentors, evaluates, and recruits a motivated and talented team, including biostatisticians, computational scientists, and data visualization experts.
- Works closely with information technology and other relevant technology cores.
- Develops strong partnerships with regional research-intensive universities and undergraduate-focused institutions to foster collaborations, develop local talent pipelines, and grow biomedical data science resources in Oklahoma.
Learn more about the role specifications https://omrf.org/wp-content/uploads/2021/10/OMRF-Center-for-Biomedical-Data-Sciences-Director-2021.pdf.
REQUIREMENTS
Associate Professors or other mid-career individuals from the non-profit or industry sectors who seek a leadership position that values team-based research utilizing data analytic tools and expertise to strengthen and expand biomedical discoveries preferred. However, candidates at all career levels will be considered. Typically requires a minimum of 12 years of related experience, including at least 5 years of successful leadership experience and a Ph.D. in bioinformatics, statistics, clinical science, biological science, or equivalent combination of education and experience. Proven track record of contributions demonstrated by successful completion of multiple collaborative projects addressing a variety of biological problems, highly cited publications, impactful tools, products, or data sets used by the scientific community, presentations at international conferences, and awards. Track record of successful NIH and/or other extramural grant applications (including multi-investigator) in relevant fields. Deep understanding of systems biology, bioinformatics, clinical informatics, and/or modern statistical and machine-learning tools for analysis of various datasets. Exceptional communication skills with the ability to collaborate, seek constructive feedback, build relationships, promote teamwork, and remain flexible and adaptable to change.
POLICY
OMRF's excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.
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