JPF01868 BioPACIFIC MIP Computation and Data Specialist, California NanoSystems Institute
The BioPACIFIC MIP will create and operate a state-of-the-art user facility dedicated to biomaterials discovery and development. Creating this research ecosystem will require the integration of very broad, disparate datasets from Engineering, Materials, Biology, and Chemistry to enable advanced data mining and machine learning algorithms focused on enabling forward and inverse materials design. BioPACIFIC is seeking a motivated individual to spearhead the setup and deployment of the center's data infrastructure and to enable a national user base to utilize this resource.
Reporting to the Executive Director at UCSB of the NSF BioPACIFIC MIP, and working closely with both the research and operations teams, the Computation and Data Specialist will be responsible for specifying and overseeing BioPACIFIC's data structure, including a Laboratory Information Management System (LIMS), Electronic Lab Notebooks (ELNs), and associated connectivity of people and equipment to these systems. The Computation and Data Specialist will also work with the BioPACIFIC computation team to create data pathways between BioPACIFIC data streams and existing research data platforms such as BisQue and Citrine, and with outputs from biomaterials computation and simulation workflows. The Computation and Data Specialist will also work with the computation researchers to set up the appropriate metadata infrastructure necessary to support machine learning algorithms and visualization methods. The Computation and Data Specialist will work with UCSB's Center for Scientific Computing to manage the computing and storage resources supporting this data framework.
The Computation and Data Specialist will investigate data structures in use by complementary national centers and align BioPACIFIC's data inputs and outputs to maximize interoperability. The Computation and Data Specialist will stay informed of the state of the art in data science for synthetic biology, chemistry, and related materials to ensure that BioPACIFIC's data architecture is aligned with industrial and academic standards and nomenclatures. The Computation and Data Specialist will collaborate with in-house Senior Faculty participants, staff, postdoctoral fellows, and graduate students to continuously build expertise. Building expertise will include attending and presenting at a bi-monthly technical research meeting with affiliate researchers from both UCSB and UCLA where the Computation and Data Specialist will provide consultation on accessing, querying, inputting, and interpreting data.
External users will also consult with the Computation and Data Specialist to develop a Project Feasibility and Research plan. The Computation and Data Specialist will review BioPACIFIC user pre-proposals and advise on whether the proposed work is technically feasible, or if a proposal requires revision in order to be accepted. The Computation and Data Specialist can also advise on how to set up the work to maximize the likelihood of success. Once the proposal is accepted, the Computation and Data Specialist will be the BioPACIFIC technical Point-of-Contact on the computing aspects of their project. The Computation and Data Specialist will create a user interface for data input, search, and extraction and devote 50% time to serve as a scientific and technical expert and train external users in the operation of this interface, and on setting up, carrying out, and analyzing data in support of their work at BioPACIFIC. Twice per year the Computation and Data Specialist will participate in an open house that will highlight the facilities and research capabilities and promote use by internal and external users.
· Master's Degree in physical science or engineering, including Computer Science, with an emphasis on data and computation OR 5-10 years of experience demonstrating expertise in creating and/or administering scientific data organization and/or data mining structures, at the time of application.
· For Full Specialist consideration: PhD in physical science or engineering, including Computer Science, with an emphasis on data and computation OR 10 or more years of experience demonstrating expertise in creating and/or administering scientific data organization and/or data mining structures, prior to appointment start date.
· Experience working with bio-informatics, chem-informatics, Manufacturing Execution Systems, Laboratory Information Management Systems, or other big data organization and big data mining structures in an industrial setting.
· Multiple programming languages (Python, R, and/or SQL)
· Demonstrated communication and organizational skills to prioritize coordination of multiple assignments/projects/deadlines simultaneously with minimal direction.
· Evidence of flexibility and initiative when working within a fast-paced, changing environment.
· Management of multiple projects in both team-oriented collaborations and independent ownership.
· Familiarity with Manufacturing Execution Systems, Laboratory Information Management Systems, and/or Electronic Lab notebooks.
· Excellent written communication skills as evidenced by submitted materials including the CV, Cover Letter, and an optional but encouraged statement of diversity.
· Demonstrated supervision of professional and support staff.
For primary consideration, applications and the items listed below must be completed on or before December 7, 2020.
1) An updated CV (required)
2) Statement of interest/cover letter (required)
3) 3 References (contact information required)
4) Statement of Contributions to Diversity (optional)
This is a one-year, 100% time appointment with possibility of renewal on an annual basis. Anticipated start date is January 4, 2021.
We strongly encourage applicants to submit an optional Statement of Contributions to Diversity. These statements, if submitted, will be reviewed for evidence of teaching, research, professional and/or public service contributions that promote diversity and equal opportunity; demonstrated contributions to the advancement of equitable access and diversity; and contributions furthering diversity and equal opportunity through participation in such activities as recruitment, retention, and mentoring of individuals.
The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.
The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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