Research Portfolio Development for Computational Biology Program - 92746 Organization: BS-BioSciences Area Office
Lawrence Berkeley National Lab (LBL, http://www.lbl.gov/) has an exciting new opening focused on Research Portfolio Development for Computational Biology Programs. The selected candidate will be a co-member of the Biosciences Strategic Programs Development Group (SPDG, https://biosciences.lbl.gov/2020/04/08/maxon-announces-new-program-development-group/) and the Computing Sciences Area Office (https://cs.lbl.gov/) and will help establish new research programs at the intersection of Biosciences and Computing, and identify strategic opportunities where both Areas can collaborate to increase scientific impact.
This successful candidate will primarily support research program development activities like projects that combine some of the following elements: imaging, biomanufacturing, environmental biology, sensors and controls for automated experimentation, machine learning, data management, and HPC) and other related topics. The Program Developer will be responsible for a variety of activities, including idea generation and visioning, planning and facilitation of workshops, drafting and editing white papers, and developing ongoing relationships with a variety of internal and external stakeholders. The successful candidate will be building new research capabilities at Berkeley Lab in a growing area of research for the Department of Energy.
What You Will Do: • Manage a portfolio of program development projects based at the intersection of biosciences and computing sciences core capabilities, particularly in partnership with the Computational Biology Group and other interested researchers and managers across the Biosciences and Computing Sciences Areas. • Work to identify new strategic opportunities to increase the Areas’ scientific impact. • Support researchers in drafting, editing, and revising white papers to articulate clear and compelling national-scale program concepts as well as workshop reports resulting from strategic workshops. • Assist in the planning, execution, and facilitation of workshops with internal and external stakeholders. • Network and arrange meetings with possible sponsors and collaborators. • Identify and secure additional funds for the execution of program development activities. • Utilize and improve tracking tools to measure progress and to provide analysis on successes, gaps, and new strategic directions for the Biosciences and Computing Sciences partnership. • Serve as the main point of contact for Area Management Leads for tracking progress towards meeting goals on a regular schedule.
Additional Responsibilities • Identify, develop, and lead opportunities to increase collaboration between researchers in both Areas. • Work with Area Management Leads to establish and implement frameworks and best practices for program development activities shared by Biosciences and Computing Sciences.
What is Required: • May have a Bachelor's degree in biology, computational biology, or computational field with 4-8 years of professional work experience. • Experience working with researchers at all levels on collaborative, multidisciplinary projects. • Experience in strategic planning, program management, and/or program development. • Demonstrated experience developing and executing complex, years-long projects with internal and external stakeholders. • Demonstrated problem-solving skills; ability to resolve diverse range of complex problems and issues using good judgment and decision-making with limited information. • Ability to multitask and prioritize complex competing projects. • Effective interpersonal skills necessary for working in a diverse and distributed team environment. • Ability to work independently as well as with groups of scientists and managers. • Demonstrated relationship management and networking abilities. • Demonstrated research and analysis skills.
Desired Qualifications: • M.S or Ph.D. in a biology, computational biology, or computational field. • Experience with computational biology or computational research • Experience with computational biology or computational research. • Experience with philanthropic organizations. • Federal or state government experience. • Demonstrated experience leading stakeholder engagement activities, including workshops or other scientific meetings. • Experience interacting with sponsors.
To be considered please provide the following materials in your application: 1) Curriculum Vitae or Resume 2) Cover letter; please address the following: Why are you interested in this position and how is your professional work experience related?
Notes: • This is a full time 2 year term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. • This position will be hired at a level commensurate with the business needs; and skills, knowledge, and abilities of the successful candidate. • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. • This position will be remote initially, but limited to individuals residing in the United States tentatively until 2021 due to COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work will be primarily performed at: West Berkeley Biocenter (Potter St.) — Bldg. 977, 717 Potter St., Berkeley, CA.
How To Apply Apply directly online at http://50.73.55.13/counter.php?id=199480 and follow the on-line instructions to complete the application process.
Learn about us! Biosciences Area (https://biosciences.lbl.gov/) Enabled by Berkeley Lab’s world-class user facilities and complementary research programs, our scientists and engineers contribute groundbreaking discoveries and innovative solutions to complex scientific and societal challenges.
The Computational Research Division (https://crd.lbl.gov/about/) conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture and high-performance software implementation. We collaborate directly with scientists across LBNL, the Department of Energy and industry to solve some of the world’s most challenging computational and data management and analysis problems in a broad range of scientific and engineering fields, including materials science, biology, climate modeling, astrophysics, fusion science, and many others.
Berkeley Lab Berkeley Lab (LBNL, http://www.lbl.gov/) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.
Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here (http://www.lbl.gov/HR/html/Employment/total-rewards.html).
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) to view the poster and supplement: "Equal Employment Opportunity is the Law.
Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
Are there any additional restrictions (e.g. permanent residence/citizenship)? It would be good to mention those since Biostars has an international audience.