Generative Protein Design Group Leader

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
$172,140 - $265,188 Annually
$172,140 - $221,064 Annually for the SEL.3 level
$206,490 - $265,188 Annually for the SEL.4 level
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.
Job Description
We have an opening for a Group Leader of the Generative Protein Design Group, which is part of the Data Analytics and Decision Sciences Section. The primary focus of this group is the research and development of next-generation, machine learning-driven computational pipeline for optimizing protein-protein interactions as part of the Center for Predictive Bioresilience (CPB). CPB is an exciting and fast-paced engineering center combining predictive computational modeling, machine learning, and experimental biology to develop medical countermeasures. You will provide technical, programmatic, and administrative leadership for a multi-disciplinary team with computational expertise in machine learning (ML), molecular simulation, optimization, and protein structure bioinformatics. You will also maintain a programmatic assignment and will report to the Engineering Data Analytics and Decision Sciences Section Leader. 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

• Supervise and provide technical and administrative direction/guidance, career counseling, mentoring, coaching, and support to 10+ group members.
• Develop and serve the group’s customer base by maintaining a close interface with programmatic and project elements.
• Formulate a long-term plan for research and development that will provide state-of-the-art capabilities to further the mission of LLNL.
• Collaborate with project leaders within Laboratory programs to anticipate and meet technical needs.
• Develop research and development initiatives for external sponsorship and for internally-supported LDRD and Tech Base projects.
• Recruit and hire new staff as needed to meet Section, Division, and programmatic staffing needs.
• Ensure quality of work and promote effective teamwork within the group.
• Attend Section and Division meetings, plan and conduct monthly Group meetings, and conduct institutional training sessions as required.
• Perform other duties as assigned.

Additional job responsibilities, at the SEL.4 level

• Set project vision and strategy and influence technical direction for self and others.
• Develop new Engineering capabilities and novel technologies in machine learning; using creativity and innovation to solve highly complex problems, and developing and modifying approaches as needed.
• Provide subject matter expert capability in one or more areas of machine learning.

Qualifications

• Master’s degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field, or the equivalent combination of education and related experience.
• Expertise in one or more of the following: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
• Leadership skills and experience supervising others in a technical environment.
• Ability to lead, motivate, and build highly complex interdisciplinary teams to work towards programmatic and institutional goals.
• Advanced written and verbal communication skills, specifically the ability to explain and present highly complex ideas, as well as to advise employees and all levels of management.

Additional qualifications at the SEL.4 level

• Subject matter expertise in one or more relevant technical areas including: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
• Significant experience in the leadership of technical projects, project planning, and execution.
• Significant experience developing and implementing creative solutions to highly complex problems.
• Expert communication, facilitation, and collaboration skills necessary to lead a team, advise senior management, and to positively represent the Program and the Laboratory.

Qualifications We Desire

• PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field.
• Experience with work planning and execution of work for government sponsor organizations including DOE and DHS.
• Experience in the hiring and career development of employees.
• Experience with performance reviews, ranking, and salary management processes.

Special Requirements
Anticipated Clearance Level: Either no clearance, DOE L or Q clearance depending on assignment.
Additional Information
#LI-Hybrid
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?

• Included in 2024 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
• Our core beliefs - visit https://www.llnl.gov/diversity/our-values
• Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance
This position requires either no security clearance, or a Department of Energy (DOE) L-level or Q-level clearance depending on the particular assignment.
If you are selected and a security clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. L and Q-level clearances require U.S. citizenship.
If no security clearance is required, but your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
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To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
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