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Physics World · 2 months ago

Computational Protein Design Scientist

Livermore, CA

Full-time

Hybrid

Mid, Senior Level

$141K/yr - $214K/yr

Lawrence Livermore National Laboratory (LLNL) is dedicated to strengthening the United States’ security through innovative research. They are seeking a Computational Protein Design Scientist to advance machine learning-driven computational pipelines for protein design and collaborate with multidisciplinary teams to optimize protein-protein interactions.

Publishing

No H1B

U.S. Citizen Only

Responsibilities

Collaborate with project scientists and engineers and participate in developing, implementing, and evaluating computational frameworks (e.g., LLMs, Protein Folding, Inverse Folding, All-atom structure prediction and design models) optimized for protein design

Contribute to and actively participate in the development and application of analysis methodologies, analyzing data and documenting research through presentations and peer-reviewed publications

Support technical activities for new capability development by providing input, recommending enhancements, and developing solutions to moderately complex technical problems using established and innovative methods

Contribute to the completion of project milestones, supporting the fulfillment of organizational goals and objectives

Contribute to manuscripts and both informal and formal reports and presentations, documenting project activities, methods and implementation techniques, sequences, requirements, and research results

Assist in establishing, implementing, reviewing, updating, and maintaining quality standards for project deliverables

Routinely interact with technical contacts at sponsor and partner organizations, representing the organization by providing input on specific technical projects

Balance multiple projects/tasks and priorities to ensure deadlines are met, working independently with limited direction within the scope of assignments

Perform other duties as assigned

Develop, propose, and implement advanced analysis methodologies and collaborate with team in identifying future research directions and proposals that will secure future projects in the field

Guide the completion of projects by independently determining the appropriate technical objectives, criteria, and approaches to satisfy and execute project deliverables, leading and overseeing the activities of other personnel, and providing mentoring to less-experienced team members

Represent the organization as the primary technical contact on tasks and projects, serving on internal technical/advisory committees, sharing relevant knowledge, providing opinions and recommendations, and exerting influence in developing and achieving project goals

Contribute to and influence the development of innovative projects, principles, and ideas in computational protein design

Qualification

Machine LearningComputational BiologyProtein Structure ModelingDeep LearningBioinformaticsPyTorchTensorFlowStatistical AnalysisInterpersonal SkillsVerbal CommunicationWritten Communication

Required

Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics, or a related technical field, or the equivalent combination of education and related experience

Comprehensive knowledge and experience developing and applying algorithms in one or more of the following machine learning areas: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning

Experience developing and implementing deep learning models and algorithms, and knowledge of and proficiency using modern software libraries such as PyTorch, TensorFlow, or similar, as evidenced by publications or software releases

Demonstrated domain knowledge and experience in protein structure machine learning, bioinformatics, and protein structure modeling sufficient to communicate effectively with team members and subject matter experts

Proficient verbal and written communication and interpersonal skills and initiative necessary to work independently, collaborate effectively within a multidisciplinary team environment, interact with all levels of personnel, and present and explain technical information to varied audiences

Demonstrated ability to prioritize and balance multiple projects and competing demands while maintaining timely and high-quality standards for deliverables

Significant experience and advanced knowledge in developing and applying algorithms in advanced machine learning areas, developing and implementing medium to large-scale deep learning models and algorithms using modern software libraries, and independently developing and executing complex analyses

Significant experience and demonstrated ability to lead interdisciplinary teams, set clear expectations, delegate, ensure timely and successful completion of objectives, and influence and provide guidance, advice, and informal mentoring to other personnel and junior team members

Demonstrated ability to effectively represent the organization as a primary technical contact, share relevant knowledge, provide opinions and recommendations, exert influence, and contribute to the development of innovative projects, principles, and ideas

Preferred

PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field

Strong understanding of protein structure bioinformatics and/or protein structure prediction and protein structure datasets

Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or running numerical simulations of complex workflows

Experience publishing research results in peer-reviewed scientific journals and presenting at conferences and workshops