CareerPlan

Computational Biologist (ML) Postdoctoral Researcher

Livermore, CA, usFull-time$122k2026-09-24 → 2026-11-10
Hybrid · United StatesNo visa sponsorship

Core

Develop deep learning methods to predict protein-protein interactions and specificity in host-pathogen systems.

Role type

Postdoctoral Researcher (Computational Biology/ML)

Builds

DL-based tools for predicting binary interactions, specificity, and structure of proteins.

Domain

Computational structural biology, host-pathogen systems, deep learning

Deliverable

production ML models

Required skills

Deep learning model development, protein sequence and structure analysis, Python programming, UNIX/HPC environments, research project independence

Preferred skills

Protein bioinformatics, protein structure prediction, GPU/parallel programming, cloud computing

Technologies

PyTorch, Python, UNIX, HPC

Responsibilities

Design and extend DL tools for protein interaction prediction; develop computational frameworks for sequence and structure analysis; collaborate with experimental biologists and external partners; publish research and present at conferences; prepare technical reports and proposals.

Seniority

Postdoctoral (PhD required)