# Lead/ Senior Machine Learning Scientist, Integrative Phenotyping at Insitro

- Company: Insitro
- What the company does: At insitro, we are building a different kind of drug company to bring better drugs faster to the patients who can benefit most. Through the power of machine learning (ML) and data at scale, we decode the complexities of biology to unlock transformative new... Backed by SoftBank VF, a16z and GV.
- Company website: https://www.insitro.com/
- Type: Startups (AI role)
- Level: Senior
- Location: South San Francisco, CA
- Work setup: Remote
- Pay: $183K to $224K base salary per year (USD)
- Posted: 2026-11-02
- Apply by: 2026-12-17
- Apply: https://jobs.ashbyhq.com/insitro/07f6a2ea-d889-4977-86ba-064637bdc155?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/insitro-lead-senior-machine-learning-scientist-integrative-phenotyping/

## About the role

insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human™ platform identifies novel, high-impact genetic intervention points, which our TherML™ platform translates into therapeutics—whether small molecules, biologics, or oligos. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Proven Tenure: PhD in computer science, machine learning, or a related field, or 5+ years of equivalent applied ML research experience
- Modern ML Expertise: Hands-on experience developing and deploying state-of-the-art ML methods, including multimodal techniques, to extract clinically relevant signals from complex data
- Clinical Data Depth: Experience with several of: clinical imaging (e.g., MRI, DEXA, CT, echocardiography), clinical records (e.g., EHRs, medications, outcomes), physiological recordings (e.g., EEG, ECG), or biobank-scale human genetic data
- Multimodal Experience: Experience with high-content modalities such as single-cell or bulk omics, genetic perturbation screening, spatial proteomics, or pooled optical screening
- Publication Record: Meaningful, high-quality contributions in ML, ML for health, computational biology, or biomedical venues
- Engineering Fluency: Strong Python in a cloud environment and modern deep learning frameworks, with a track record of reusable, tested, version-controlled ML code

Tags: Data Science and Machine Learning

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/insitro-lead-senior-machine-learning-scientist-integrative-phenotyping/