Protein Design Data Scientist

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is important for continued success of the Laboratory’s mission.

Pay Range

$117,180 - $178,392

$117,180 - $148,608 Annually for the SES.1 level 
$140,700 - $178,392 Annually for the SES.2 level 
 
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. 

Job Description

We have multiple openings for a Data Scientist focusing on protein library data design, analysis, and dissemination. This role requires an interdisciplinary approach, including strong knowledge of data science, machine learning, and biological data. You will have a supporting role in external and internal library efforts. You will execute design, analysis, tool-building and also collaborate toward effective, efficient, and rapid library data generation. You will communicate with internal and external teams generating and using this data, as well as other members of this team who design, analyze, and disseminate data and produce tools to do so more efficiently in the future. These positions will be in the Computational Engineering Division (CED), within the Engineering Directorate. 

These positions will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level. 

In this role you will

• Serve as a member of a team for library design and contribute to the fulfillment of technical projects and organizational objectives.
• Collaborate with team members to provide input on deliverables  and to regularly communicate the status and projected delivery date to ensure quality results are provided in accordance with established deadlines.
• Contribute, participate, and work in coordination with internal team members to continue and expand the design, generation, analysis, and dissemination of library data, as well as the development of effective library design workflows.
• Work independently under general direction to solve problems of limited complexity using standard techniques and methodologies.
• Respond to needs in library design by using fundamental knowledge and adhering to defined practices and procedures.
• Perform other duties as assigned.

Additional job responsibilities, at the SES.2 level

• Work under limited direction using independent judgment to provide solutions to problems of moderate complexity.
• Independently analyze or design moderately complex library data sets using a variety of approaches within generally established methods, recommending improvements/processes as appropriate.
• Respond dynamically to unique, unexpected needs in library design by using creativity with established and/or creative methods.
• Responsible for the creation and maintenance of individual software tools for library design or analysis.

Qualifications

• Master's degree in Biology, Engineering, Computer Science, or related fields, or the equivalent combination of education and related experience.
• Fundamental knowledge of proteins, and bioinformatics, including some familiarity with experimental library generation, assays, sequencing, sorting, and other relevant biological domain knowledge.
• Fundamental level skills and knowledge of concepts in data science, statistics, and machine learning.
• Proficient programming skills in Python, including experience using in collaborative development environments and practices.
• Fundamental knowledge and experience with appropriate software for bioinformatics and structural biology.
• Sufficient verbal and written communication skills to collaborate effectively in a diverse team environment and present and explain technical information.
• Previous experience working as a member of an interdisciplinary team to successfully complete objectives.
• Ability to balance para