Data Scientist
Berkeley Lab’s Environmental Genomics & Systems Biology Division has an opening for a Data Scientist. This Data Scientist position will be working with KBase management and staff on bringing in microbiome/metagenome datasets, tools, and analyses into KBase. The candidate will be responsible for interacting with external stakeholders to identify key value-add products of interest to the community.
What You Will Do:
Under the general guidance of KBase work leads: will develop, package and apply new and community computational methods in the KBase platform, which will be shared and disseminated across the microbiome community.
Under KBase leadership, collaborate with targeted KBase users and other stakeholders to identify high-value science that can be performed with suitable extensions to the KBase platform and data sets.
Work with the KBase team to develop the integrated data science platform to support inference across system reference source and shared user data.
Work with targeted users to perform sophisticated analyses of heterogeneous biological data of plants, microbes and their communities to discover and predict biological function and behavior and compare against experimental observations.
Publish scientific papers in peer-reviewed journals and present findings at seminars and conferences.
Collaborate with other members of the project research team both internal and external to Berkeley Lab and develop new collaborations as appropriate to further the scientific goals of the program.
What is Required:
A Bachelor’s Degree in computer science, data science, machine learning, chemical engineering, bioengineering, chemistry, biochemistry, chemical biology, plant biology, microbiology, bioinformatics, computational biology and a minimum of 2 years related experience; or equivalent overall work experience.
Solid background in programming and computational biology.
Experience working with software tools.
Experience with modern statistics and machine learning.
Demonstrated ability to interact effectively with technical and scientific staff.
Ability to work in a team environment.
Demonstrated ingenuity in dealing with complex problems.
Demonstrated strength and efficiency in technical writing.
Knowledge of programming languages (e.g, Python, Java, C, C++)
Background in environmental microbiology
Background in metagenomes and microbiomes
Strong problem-solving and data analysis skills
Additional Desired Qualifications:
Familiar with software engineering best practices
Familiar with Agile methodology
The posting shall remain open until the position is filled.
Notes:
This is a full time, 1-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.
Full-time, M-F, exempt (monthly paid) from overtime pay.
Salary is commensurate with experience.
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.
Work will be primarily performed at West Berkeley Biocenter (Potter St.) — Bldg. 977, 717 Potter St., Berkeley, CA.
Berkeley Lab (LBNL) 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.
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 to view the poster and supplement: "Equal Employment Opportunity is the Law."