CareerPlan

Co-Op, AI Nucleic Acid Design

San Francisco, CAFull-time2026-10-27 → 2026-11-11
On-site

Core

Researching automated reasoning on biological data to design RNA and DNA sequences using machine learning.

Role type

Co-op machine learning researcher (nucleic acid design)

Builds

ML models for RNA/DNA sequence-function data, including property prediction and generative design

Domain

Life sciences, machine learning, sequence modeling

Deliverable

production ML models

Required skills

Python, PyTorch or JAX, biological sequence data experience, nucleic acid biology knowledge

Preferred skills

sequence-to-function models, genomic language models, generative modeling, large reasoning models

Technologies

PyTorch, JAX, Python

Responsibilities

Lead a scoped research project in nucleic acid sequence modeling, build ML models on sequence-function data, investigate model behavior, collaborate with experimental scientists, present findings

Seniority

Co-op (undergraduate or graduate student)