Insitro

Senior Manager, Imaging Machine Learning

South San Francisco, CA · Senior

Sponsorship not specified$247k-$262kDetected 40 days ago

Code ReviewMachine LearningComputer VisionProduct StrategyBioinformaticsMicroscopyLeadershipCommunicationMentoring

About the role

insitro's mission is to bring better drugs faster to patients who can benefit most, through machine learning and data at scale.
As the leader of a team of researchers within the AI/ML organization, you will be expected to remain abreast of the evolving field of in-vitro screening.
You will report to the Director of Imaging, Cellular Machine Learning.

Responsibilities

Work closely with laboratory leadership to structure assay development efforts, and empower members of your team to co-develop in-vitro microscopy assays suitable for genetic perturbation screening, often at whole-genome scale
Ensure the successful translation of assays you develop to insitro's computational biology team, who will leverage the assays your teams develop to investigate causal biology through the integration of diverse data modalities, including microscopy
Develop methods of measuring and qualifying microscopy data prior to model training and inference, including those which leverage agentic frameworks, VLMs, and self-supervised classification
Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease.
These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism.
Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners.
Your team will partner closely with laboratory scientists to develop biological assays in a tight loop, iterating sample preparation protocols and feature extraction methods in tandem.

Requirements

Hands-on experience with cellular imaging datasets (e.g. fluorescence/confocal or label-free microscopy)

Nice to have

Experience across additional high-content modalities: temporal phenotyping, spatial proteomics, single-cell or bulk omics, or pooled optical (in-situ) screening
Familiarity with genetic perturbation screening, ideally at genome scale
Experience with data-quality methods for imaging - agentic frameworks, VLMs, or self-supervised approaches for QC and classification
Conversational understanding of a relevant disease area (neuroscience, metabolic disease, or cancer biology)
Experience contributing to or shaping an imaging/CV software platform

Compensation

Our target starting salary for successful US-based applicants for this role is $247,000 - $262,000.
To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

Benefits

To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity.
In this role, you will lead and grow a team of exceptional machine learning researchers responsible for co-developing methods for extracting information from in-vitro biology using computer vision and machine learning.
You will lead an established team of 5 machine learning scientists, several at the Staff level, and be expected to grow it over time.

Equal opportunity

insitro is an equal opportunity employer.

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