Physics World
Computational Bioengineer - Postdoctoral Researcher
Physics World, Livermore, California, United States, 94551
Overview
Computational Bioengineer - Postdoctoral Researcher role at Physics World. LLNL Bioengineering-related program with emphasis on machine learning-driven computational design of proteins and polymers for biomaterials. The position is in the Computational Engineering Division (CED), within the Engineering Directorate. Responsibilities
Conduct advanced independent research, designing, analyzing, and extending ML-based tools (including large language model-based) for design and optimization of intrinsically disordered proteins (IDPs) and polymers. Participate in the development of protein design computational frameworks and analysis tools. Collaborate with external partners (Universities, Industry, other National Laboratories) to advance computational biology simulation efforts. Prepare complex and detailed progress reports, written analyses, and verbal briefings to support project needs and deadlines and to present research results to sponsors. Independently pursue the development of new and innovative research methods relevant to the needs of Laboratory programs and/or external funding agencies. Contribute to proposals and statements of work. Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meetings. Travel as needed to coordinate with research collaborators and to attend external meetings and conferences. Perform other duties as assigned. Qualifications
PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related technical or scientific field, or the equivalent combination of education and related experience. Fundamental knowledge and/or experience developing and applying algorithms in several ML areas/tasks (e.g., protein sequence to function ML, polymer design ML, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods). Experience developing and implementing deep learning models using software libraries such as PyTorch, TensorFlow, or similar, as evidenced through publications or software releases. Experience working with proteins and polymers, and domain knowledge in bioinformatics and protein structure modeling to communicate effectively with the team. Ability to work independently on defined research projects, and as part of a diverse team of scientists, engineers, and staff. Programming experience with Python or C++, and proficiency with UNIX and high-performance computing environments. Ability to develop independent research projects as demonstrated through publication of peer-reviewed manuscripts. Willingness and ability to travel as necessary. Qualifications We Desire
Strong understanding of protein bioinformatics and/or protein function prediction. Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and related simulation methods. Experience collaborating with experimental biologists. Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Security and Compliance
Security Clearance: None required. If the assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process (online background check). This requirement does not apply to foreign nationals. National Defense Authorization Act (NDAA): Eligibility to access LLNL facilities may be restricted by NDAA Section 3112; candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test: External applicants selected must pass a post-offer, pre-employment drug test (including marijuana testing under federal law). Wireless and Medical Devices: DOE rules may limit use of personal/mobile devices in certain areas; some roles may require not carrying devices in Limited Areas. Medical devices linked to mobile devices may be subject to additional rules. Equal Employment Opportunity
We are an equal opportunity employer committed to 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. Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing. If you need a reasonable accommodation during the application or recruiting process, please use our online form to submit a request. How to Identify Fake Job Advertisements
LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a questionable posting, we recommend you do not respond. For more information, see LLNL’s Job Fraud Statement.
#J-18808-Ljbffr
Computational Bioengineer - Postdoctoral Researcher role at Physics World. LLNL Bioengineering-related program with emphasis on machine learning-driven computational design of proteins and polymers for biomaterials. The position is in the Computational Engineering Division (CED), within the Engineering Directorate. Responsibilities
Conduct advanced independent research, designing, analyzing, and extending ML-based tools (including large language model-based) for design and optimization of intrinsically disordered proteins (IDPs) and polymers. Participate in the development of protein design computational frameworks and analysis tools. Collaborate with external partners (Universities, Industry, other National Laboratories) to advance computational biology simulation efforts. Prepare complex and detailed progress reports, written analyses, and verbal briefings to support project needs and deadlines and to present research results to sponsors. Independently pursue the development of new and innovative research methods relevant to the needs of Laboratory programs and/or external funding agencies. Contribute to proposals and statements of work. Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meetings. Travel as needed to coordinate with research collaborators and to attend external meetings and conferences. Perform other duties as assigned. Qualifications
PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related technical or scientific field, or the equivalent combination of education and related experience. Fundamental knowledge and/or experience developing and applying algorithms in several ML areas/tasks (e.g., protein sequence to function ML, polymer design ML, deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods). Experience developing and implementing deep learning models using software libraries such as PyTorch, TensorFlow, or similar, as evidenced through publications or software releases. Experience working with proteins and polymers, and domain knowledge in bioinformatics and protein structure modeling to communicate effectively with the team. Ability to work independently on defined research projects, and as part of a diverse team of scientists, engineers, and staff. Programming experience with Python or C++, and proficiency with UNIX and high-performance computing environments. Ability to develop independent research projects as demonstrated through publication of peer-reviewed manuscripts. Willingness and ability to travel as necessary. Qualifications We Desire
Strong understanding of protein bioinformatics and/or protein function prediction. Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and related simulation methods. Experience collaborating with experimental biologists. Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date. Security and Compliance
Security Clearance: None required. If the assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process (online background check). This requirement does not apply to foreign nationals. National Defense Authorization Act (NDAA): Eligibility to access LLNL facilities may be restricted by NDAA Section 3112; candidates must be eligible to access the Laboratory in compliance with Section 3112. Pre-Employment Drug Test: External applicants selected must pass a post-offer, pre-employment drug test (including marijuana testing under federal law). Wireless and Medical Devices: DOE rules may limit use of personal/mobile devices in certain areas; some roles may require not carrying devices in Limited Areas. Medical devices linked to mobile devices may be subject to additional rules. Equal Employment Opportunity
We are an equal opportunity employer committed to 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. Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing. If you need a reasonable accommodation during the application or recruiting process, please use our online form to submit a request. How to Identify Fake Job Advertisements
LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a questionable posting, we recommend you do not respond. For more information, see LLNL’s Job Fraud Statement.
#J-18808-Ljbffr