Program Officer, Data-Driven Discovery Initiative

Gordon and Betty Moore Foundation

Job Type: Government/Non-Profit

The Data-Driven Discovery Initiative advances new knowledge in the life and physical sciences through supporting the emerging methods of data science and the practitioners within academic research. To achieve this goal, the Foundation supports work to advance the people who innovate around data-driven discovery—through the creation of data science hubs at major research universities, through investigator awards and data science projects.

More information about the Initiative can be found here:

The Program Officer will contribute to strategy development, implementation and management in partnership with the other members of the Data-Driven Discovery team.  They will carry out grant-making and grant-management on the initiative’s portfolio of institutional, people and practice strategies, which focuses on advancing data-driven discoveries in the life and physical sciences.

This position will also advance collaborations and partnerships with researchers, universities, industry, and science funders to accelerate academic data science / data-driven research within the US.  This Program Officer position is a full-time, exempt position, reporting to the Program Director, Data-Driven Discovery Initiative.

The Program Officer will be responsible for Strategic Implementation and Management and Collaboration management. Specifically, the Program Officer will: source, develop and manage grants in his/her portfolio; oversee convenings, collaborations and partnerships; partner with grantees and create linkages that add value to the field; represent the Foundation and the DDD Initiative in the community; cultivate broad domain expertise across multiple fields; track trends and synthesize knowledge relevant to the initiative issue areas; help coordinate grant competitions within the Data-Driven Discovery Initiative; and participate in strategic planning, impact evaluation, grants management and internal reporting related to the Data-Driven Discovery Initiative.

The ideal candidate will have:

  • Demonstrated understanding of the emerging trends in Data Science, Data-Driven Research, Data-Intensive Science or related practices within academic research and for-profit sectors.
  • A PhD, with strong preference for the degree to be in either the life, physical, or mathematical sciences or a PhD in an area that studies these disciplines such as Sociology of Science or History of Science and Technology.
  • A strong interest in a breadth of scientific disciplines across the life, physical, and computational sciences and statistical/mathematical domains.
  • Substantive post-PhD work, which may include experience with competing for and managing grants, independent research, strategy development, consensus-building, policy, leadership with organizations within or outside academia, etc.

Posted: December 01, 2014