Academic Coordinator I - Chief Research Officer
The Berkeley Institute for Data Science (BIDS – http://bids.berkeley.edu) was founded in fall 2013 to build on existing campus strengths with a multidisciplinary emphasis that aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social and engineering sciences. The Institute aims to build on the many recent innovations in data science techniques so that they can be applied in effective ways to domain science challenges.
The Institute brings together researchers across disciplines through a number of pathways including fellowships, postdocs, memberships, and staff appointments. We host a variety of activities (lectures, hackathons, bootcamps) to help train the next generation of data scientists, and support a growing portfolio of software development and research projects (http://bids.berkeley.edu/research).
The Institute’s initial support is provided by a 5-year $12.5 million grant from the Moore and Sloan Foundations together with significant support provided by UC Berkeley. The “Moore-Sloan Data Science Environment” also supports similar programs with shared goals and objectives at the University of Washington and New York University. Additional funds raised from private individuals, foundations, industry, and government sources also support Institute operations.
Working closely with the BIDS leadership, the Chief Research Officer (CRO) at BIDS will use their deep expertise and knowledge to empower the Berkeley faculty and research community to develop missing parts of the data science environment (tools, methods, systems, workflows, etc.), and secure the resources to fund them. This is a two-year position with the opportunity for extension.
The CRO will do this by:
* Helping the Berkeley community identify missing areas in successfully implementing data science workflows, predominantly cross disciplinary.
* Being creative themselves, identify and coalesce missing areas.
* Using their existing knowledge and networks, and working with campus resources, identify likely funding sources for these identified research opportunities in government agencies, foundations and the private sector.
* Preparing materials and making presentations to help convince the sources of funding that they should invest in these needed areas.
* Writing proposals, and collaborating on joint proposals, to fund the activities that advance the identified missing areas.
* Helping to organize the teams working on the specific activities identified, often involving time intensive interactions with overcommitted faculty.
In order to accomplish these goals the CRO will also need to:
· Work to change the predominant incentive models that deemphasize the importance of software and tool development necessary for effective research.
· Help the university community to learn new ways to incorporate, validate, and build on data science techniques.
· Position data science research in the bigger picture of academic research; building the necessary foundation to create a researchidentity for data science; help define the enduring research roles of data science.
* Build a deep understanding of the research and software development activities taking place at BIDS and develop strategies to integrate existing efforts with research groups on campus that could benefit from their work.
* Develop new initiatives that address any gaps that exist in the current BIDS research portfolio; work with our staff and faculty to fund and support new activities.
* Work closely with BIDS fellows and staff to identify ways in which their work may be made more applicable to other domains than may have been originally envisioned.
* Ensure that the impact of the BIDS research program is adequately accounted for and promoted.
* Help in hosting targeted workshops and symposia that work to address technical and social challenges for researchers.
* Identify and help promote BIDS research activities that are of interest to industry and industry activities that are of interest to academic researchers.
*Basic Qualifications required at time of application:*
Master’s or equivalent degree with 5 years of research or professional experience. Experience in developing data intensive research collaborations with academic researchers.
*Additional Qualifications required by start date*:
* Proven expertise in leading initiatives that rely on open source languages and tools.
* Proven experience working with multidisciplinary teams of researchers and developers.
* Demonstrated understanding of and appreciation for data science approaches and innovations and the needs, goals and deadline pressures under which academic scientists across the disciplines get their work done.
* Experience developing and writing grant proposals to fund research.
* Demonstrated creative, written, verbal, interpersonal, active listening and political acumen skills.
* Demonstrated ability to prioritize work, meet deadlines, and effectively manage multiple projects simultaneously without loss of productivity, quality or accuracy.
* Ability to travel occasionally and attend occasional evening events.
* Understanding of the merit, publications and funding landscape that drives academic research.
* PhD or equivalent degree.
This is a full-time, two-year position with the opportunity for extension. Salary commensurate with experience plus benefits, depending on qualifications and experience.
To apply, submit your most recently updated Curriculum Vitae (required), a cover letter (required) and a list of three professional references (required) to https://apecruit.berkeley.edu/apply/JPF01250. Letters of recommendations will only be solicited for finalists. All letters of recommendation will be treated as
confidential per University of California policy and California state law. Please refer potential
referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (http://apo.berkeley.edu/evalltr.html).
The position is open until filled. The anticipated start date of the position is Spring 2017. Please address inquiries to Kevin Koy, Berkeley Institute for Data Science (BIDS), University of California Berkeley, at email@example.com with BIDS CRO in the subject line.
The University of California is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for appointment without regard to race, color, religion, sex, sexual identity, gender identity, national origin, disability, age, or protected veteran status. For complete University nondiscrimination and affirmative action policy see http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.
The department is interested in candidates who will contribute to diversity and equal opportunity in higher education through their work.
3 references required (contact information only)
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