Computational Biologist Job at LLNL, USA | Academic Graduate Appointee | Earn Up to $7,718 Monthly

Computational Biologist Job at LLNL, USA | Academic Graduate Appointee | Earn Up to $7,718 Monthly

How can machine learning help uncover patterns in complex biological datasets? This computational biologist job at Lawrence Livermore National Laboratory (LLNL) combines multiomics analysis with guided work on predictive models and biological foundation models. Based in Livermore, California, USA, the graduate appointment welcomes eligible bachelor’s and master’s degree holders. U.S. citizenship is required for the position’s security clearance.

• Position: SI/ML Computational Biologist – Academic Graduate Appointee
• Location: Livermore, California, USA
• Division: Biosciences and Biotechnology
• Research Group: Integrative Multi-Omics
• Work Arrangement: Full-time, onsite

About The Organization

Lawrence Livermore National Laboratory advances science and technology to support U.S. national security. Its mission spans nuclear deterrence, threat preparedness, energy security, and multi-domain defense, bringing together researchers across scientific and engineering disciplines.

Computational Biologist Job Description

The appointee will support interdisciplinary research involving machine learning and computational biology. Work includes processing, integrating, and analyzing bulk, single-cell, and spatial transcriptomic data from animal models and human cohorts.

Under experienced staff guidance, the researcher will apply established bioinformatics and machine-learning methods to investigate molecular programs associated with disease progression, immune responses, and biological resilience.

Key Responsibilities

• Collaborate with experimental scientists, computational biologists, computer scientists, and engineers on defined research assignments.
• Process and analyze transcriptomic datasets using established bioinformatics and statistical methods.
• Assist with workflows for multimodal biological data integration.
• Implement, test, and apply established machine-learning methods under guidance.
• Support the training, adaptation, and evaluation of self-supervised and foundation models for biological applications.
• Document code and analyses to maintain reproducibility.
• Contribute to technical reports, presentations, and potentially peer-reviewed publications.
• Present research progress and meet project deadlines.

Educational Requirements and Eligibility For Computational Biologist Job

• Qualification: Bachelor’s or master’s degree in Bioinformatics, Computational Biology, Statistics, or a related field.
• The degree must have been awarded by the time of the employment offer.
• Coursework, research, internship, or project experience analyzing high-dimensional biological data.
• A foundation in machine learning and statistical modeling demonstrated through academic or technical work.
• Ability to obtain and maintain a DOE Q-level security clearance, requiring U.S. citizenship and a federal background investigation.

Skills and Qualifications

• Proficiency in Python and/or R.
• Proficiency in Linux/Unix, command-line tools, and shell scripting.
• Experience with standard bioinformatics pipelines and statistical analysis.
• Strong written and verbal communication.
• Ability to collaborate within an interdisciplinary research team.

Preferred Qualifications For Computational Biologist Job

• Exposure to machine learning or deep learning applied to single-cell, spatial, or multimodal biological data.
• Experience running large-scale workflows on GPU or high-performance computing systems.
• Familiarity with multiomic integration, transfer learning, or biological foundation models.
• Experience with Git and workflow managers such as Nextflow or Snakemake.
• Interest in immunology, host–pathogen biology, or disease modeling.
• Relevant research, publications, internships, or substantial technical projects.

Salary and Benefits

The monthly salary range is $6,748–$7,718, with starting pay determined by education, experience, market conditions, and internal equity. Listed benefits include a flexible benefits package, 401(k), relocation assistance, and education reimbursement, subject to applicable policies.

Application Details

• Initial Duration: One year, with possible extension to a maximum of two years.
• Work Arrangement: Full-time onsite presence required.
• Application Deadline: Not specified in the supplied posting.
• Security Requirement: DOE Q-level clearance; U.S. citizenship required.
• Pre-Employment Screening: Selected external applicants must pass a post-offer drug test, including testing for marijuana. Cleared employees are also subject to random drug testing.

Interested in a computational biologist job that connects biological datasets with modern analytical methods? This LLNL appointment offers guided experience in multiomics, machine learning, and scientific software workflows. If your degree, technical background, and citizenship meet the requirements, consider applying for the graduate opportunity.

APPLY ONLINE HERE