{bc}
Apply
smartrecruiters

SI/ML Computational Biologist - Postdoctoral Researcher

Lawrence Livermore National Laboratory
Livermore, USA
Full-time
Mid
Onsite
Discovered 3 days ago
linuxpythonpytorchtensorflow

Full Job Posting

Desired Qualifications

  • Experience with deep learning or probabilistic modeling approaches, such as variational autoencoders, scVI, or related methods.
  • Experience with single-cell, spatial, and/or multimodal omics data.
  • Experience with multiomic data integration, including multimodal single-cell datasets.
  • Experience with transfer learning, domain adaptation, cross-dataset integration, or batch correction.
  • Experience with transformers, self-supervised learning, or pretrained models for biological data.
  • Experience training and scaling machine learning models on large datasets.
  • Interest in immunology, host-pathogen biology, or disease modeling.
  • Pay: $123,048 Annually
  • #LI-Onsite
  • All your information will be kept confidential according to EEO guidelines.
  • Position Information
  • This is a Postdoctoral appointment with the possibility of extension to a maximum of three years. The postdoctoral appointment is a temporary, mentored training position intended for individuals in the early stages of their postdoctoral research careers. Consistent with the structure of the program, applicants must have received their Ph.D. (or equivalent doctorate) within five years of the anticipated start date.
  • Why Lawrence Livermore National Laboratory?
  • Included in 2026 Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values
  • Security Clearance
  • None required. However, if 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.
  • National Defense Authorization Act (NDAA)
  • The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
  • 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.
  • Wireless and Medical Devices
  • Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
  • If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
  • How to identify fake job advertisements
  • Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post 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 job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
  • 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.
  • 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.
  • California Privacy Notice
  • The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
  • Join us and make YOUR mark on the World!
  • Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
  • Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

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 Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field.
  • Strong background in machine learning, statistical modeling, computational biology, or a related quantitative discipline.
  • Experience analyzing high-dimensional biological data such as genomics, transcriptomics, or related modalities.
  • Proficiency in Python and R.
  • Experience with ML frameworks such as PyTorch, TensorFlow, or similar.
  • Familiarity with Linux/Unix and scientific computing workflows.
  • Demonstrated ability to conduct high-quality research and publish results in peer-reviewed journals.
  • Demonstrated ability to work effectively in a collaborative research environment.
  • Strong written and verbal communication skills.
  • Experience with deep learning or probabilistic modeling approaches, such as variational autoencoders, scVI, or related methods.
  • Experience with single-cell, spatial, and/or multimodal omics data.
  • Experience with multiomic data integration, including multimodal single-cell datasets.
  • Experience with transfer learning, domain adaptation, cross-dataset integration, or batch correction.
  • Experience with transformers, self-supervised learning, or pretrained models for biological data.
  • Experience training and scaling machine learning models on large datasets.
  • Interest in immunology, host-pathogen biology, or disease modeling.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Lawrence Livermore National Laboratory

Administrative Specialist - Materials Science Division

Livermore, USA

Discovered 2 days agoFull-time

Business Systems Analyst Undergraduate Intern - 2027

Livermore, USA

Discovered 3 days agoInternship

Chief Financial Officer

Livermore, USA

Discovered 3 days agoFull-time

Audit and Ethics Manager

Livermore, USA

Discovered 3 days agoFull-time

Procurement Analyst Undergraduate Intern - 2027

Livermore, USA

Discovered 3 days agoInternship

Alarms System Group Leader

Livermore, USA

Discovered 3 days agoFull-time

Design Physicist - Active Security Clearance Required

Livermore, USA

Discovered 3 days agoFull-time

Atomistic and Data-Driven Modeling of Materials for Energy Applications - Postdoctoral Researcher

Livermore, USA

Discovered 3 days agoFull-time