Senior 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 dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and diverse perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay Range

$140,700 - $178,392 Annually for the SES.2 level 
$168,780 - $214,032 Annually for the SES.3 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 an opening for a Team lead or Co-lead for protein library data design, analysis, and dissemination. This role requires an interdisciplinary approach, including knowledge of data science, machine learning, and biological data. You will have a leading role in external and internal library efforts. You will provide leadership and fully-contextualized decision-making toward effective, efficient, and rapid library data generation. You will coordinate with internal and external stakeholders, including both short-term operational stakeholders and longer-term research stakeholders, particularly in machine learning; external and internal partners who perform the laboratory work to create and assay the properties of these libraries; and the data science, structural biology and other contributors who will be led in this broader effort. All of these components must be undertaken in the service of and in coordination with broader efforts. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. 

This position 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. 

You will 

• Contribute, participate, and work in coordination with partners and stakeholder teams to continue and expand: 
  • The generation of library data;
  • The analysis and design of library data;
  • The dissemination of library data;
  • The development of mature, effective workflows for library design in appropriate use cases.
• Work under limited direction using independent judgment to provide solutions to problems of moderate complexity.
• Respond dynamically to unique, unexpected needs in library design by using creativity with established and/or creative methods.
• Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level

• Provide overall technical leadership and guidance and serve as primary point of contact for library design.
• Provide solutions to complex problems using in-depth analysis and collaborate in the development of innovative methods/technology.
• Contribute to the definition and articulation of strategy for library data in the context of wider LLNL efforts to generate effective predictors for protein properties.

Qualifications

• Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA).  See Additional Information section below for details.
• PhD in Biology, Engineering, Computer Science, or related fields, or the equivalent combination of education and related experience.
• Comprehensive knowledge of, and previous experience with conversancy of proteins, protein structure, bioinformatics, experimental library generation, assays, sequencing, sorting, and other relevant biological domain knowledge.
• Comprehensive knowledge of, and previous experience with with data science, statistics, and machine learning.
• Programming skills in Python including experience with collaborative development environments and practices.
• Knowledge of appropriate software for bioinformatics and structural biology.
• Proficient communication skills and demonstrated effectiveness in multidisciplinary settings, including a strong record of documentation of executed work.
• Ability to prioritize, balance, and keep several parallel threads of work in simultaneous, smooth motion.

Additional qualifications at the SES.3 level<