SI/ML Computational Biologist Postdoc

LLNL; Livermore (CA); On-site; USD 105,000 - 142,000; Full time

Benefits offered by this job

Flexible schedules

Job summary

LLNL’s Postdoctoral Research Staff Member position explores at the intersection of SI/ML and computational biology. You will apply advanced ML to host-response dynamics using large multiomic datasets from animals and humans, building predictive models that generalize across systems.

You will join the Integrative Multi-Omics Group to work on high-dimensional data, develop scalable workflows, and publish in peer‑reviewed journals.

Qualifications

• 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.

Responsibilities

• Develop and apply machine learning methods for prediction and representation learning from high-dimensional biological data.
• Contribute to the design and implementation of workflows for integrative analysis of multiomic datasets (bulk, single-cell, spatial, and multimodal).
• Investigate, develop, and apply approaches for multimodal data fusion, cross-dataset integration, and transfer learning.
• Train, adapt and evaluate self-supervised and foundation models for omics data.
• Develop and apply interpretable models linking molecular states to disease trajectories and host-response phenotypes.
• Process and analyze large-scale sequencing and other omics datasets.
• Present research findings at seminars, conferences, and technical meetings.
• Publish results in peer-reviewed journals.
• Collaborate in a multidisciplinary team environment.

Skills

Python

R

Machine learning

Deep learning

Linux/Unix

Education

PhD in Computational Biology or related field

Tools

PyTorch

TensorFlow

Job description

LLNL’s Postdoctoral Research Staff Member position explores at the intersection of SI/ML and computational biology. You will apply advanced ML to host-response dynamics using large multiomic datasets from animals and humans, building predictive models that generalize across systems.

You will join the Integrative Multi-Omics Group to work on high-dimensional data, develop scalable workflows, and publish in peer‑reviewed journals.