Data Science Engineer at Lawrence Berkeley National Laboratory

Berkeley, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

161064.0

Posted On

23 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Software Development, Data Management, Scientific Analysis, Collaboration, Python, C++, Javascript, Git, Continuous Integration, Open Source Software, High Performance Computing, Cloud Solutions, Data Visualization, APIs, GUIs

Industry

Research Services

Description

Lawrence Berkeley National Laboratory is hiring a Data Science Engineer within the Scientific Data division. The Computational Biosciences Group has an immediate opening for a software and data engineer (CSE2) in the area of multi-modal data modeling and analysis with applications to bioscience research. You will develop new methods and software tools that enable scientific knowledge discovery using modern data management and machine learning technologies and advance the state-of-the-art in data-intensive analysis. Your projects will focus on the domains of omics/structural biology data and neurophysiology data. Under limited instruction, you will be part of an experienced team conducting R&D in the areas of FAIR data science, AI, and modern methods for data understanding. You will be working as part of a multi-disciplinary team composed of computer scientists, data scientists, and bioinformaticians. You will: Design and develop user-friendly software packages for scientific data analysis and management Develop machine learning and AI solutions for analysis of biological data in close collaboration with diverse teams of scientists Work with domain experts to develop FAIR data models and management solutions for bioscience applications Work closely with the community of developers of the Neurodata Without Borders and LinkML open source data ecosystems, as well as the Joint Genome Institute. Maintain and manage open source software products, including managing development priorities, software releases, continuous integration, and testing Design, implement and maintain software tools for creating and running parallel data intensive analysis workflows Design, implement and maintain high performance computing and cloud solutions for visualization and analysis of complex biological data Train scientists and research software engineers in the use of the developed software products at workshops and conferences Work on and resolve problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. Network with senior internal and external personnel in their own area of expertise. We are looking for: Typically requires a minimum of 5 years of related experience with a Bachelor’s degree in computer science, data science, machine learning, bioinformatics, or equivalent.; or 3 years and a Master’s degree; or equivalent work experience designing and developing software for data modeling or analysis. Experience developing complex software solutions Experience testing large code bases Experience contributing to community-driven open source software Demonstrated experience in one or more of the following areas: machine learning, data management, scientific data analysis Works well in a collaborative team environment Demonstrated capability with programming languages, such as Python, C++, or Javascript Demonstrated capability with the Git version control and continuous integration systems, such as GitHub or GitLab= Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors. Ability to network with senior internal and external personnel in their own area of expertise. Excellent oral and written communication skills. Demonstrated ability to work effectively as part of a cross-disciplinary team. Desired skills/knowledge: Master’s or PhD in Computer Science or related field, with 5 or more years of professional experience designing and developing scientific data modeling or analysis software Experience working with modern scientific data formats and database systems, such as HDF5, Zarr, MongoDB, PostgreSQL, MySQL, and Redis Experience with Neurodata Without Borders, LinkML, or similar software ecosystems Experience working with large biological data, such as in the areas of neurophysiology, microbiology, genomics, or protein design Experience working with modern parallel compute technologies, such as Cloud, High-Performance Computing, containerization, and parallel programming environments (MPI, OpenMP, CUDA, or pthreads) Experience developing web-based graphical user interfaces (GUIs) or application programming interfaces (APIs) for scientific data analysis and management We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! Why join Berkeley Lab? We invest in our employees by offering a total rewards package you can count on: Exceptional health and retirement benefits, including pension or 401K-style plans A culture where you’ll belong - we are invested in our teams! In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year. Parental bonding leave (for both mothers and fathers) Pet insurance Additional information: Appointment type: This is a full-time, 2 years, 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. Salary range: The expected salary for this position is $131,760 - $161,064, which fits into the full salary of $117,132 - $197,676 depending upon the candidate’s skills, knowledge, and abilities. This includes education, certifications, and years of experience. Background check: This position is 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 modality: Work may be performed on-site, or hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here). Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

Responsibilities

You will design and develop user-friendly software packages for scientific data analysis and management, and develop machine learning and AI solutions for biological data analysis. You will also maintain and manage open source software products and train scientists in the use of developed software.