Insitro

Insitro

Senior Manager, Imaging Machine Learning

South San Francisco, CA · Senior

Sponsorship not specified$247k-$262kDetected 127 days ago
Code ReviewMachine LearningComputer VisionProduct StrategyBioinformaticsMicroscopyLeadershipCommunicationMentoring

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role76
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.

Requirements

  • Demonstrated experience applying CV/ML to pixel data to extract quantitative features and downstream biological insight
  • Hands-on experience with cellular imaging datasets (e.g. fluorescence/confocal or label-free microscopy)
  • 3+ years of people management, including solid-line management of multiple ICs and at least one senior (Staff-level) scientist or engineer
  • Track record of mentoring and growing technical talent day-to-day

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

  • Excellent medical, dental, and vision coverage as well as mental health and well-being support
  • Open, flexible vacation policy
  • Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
  • New hire stipend for home office setup
  • Monthly cell phone & internet stipend
  • Lead, mentor, and grow a team of outstanding machine learning scientists to co-develop methods of extracting insights from in-vitro microscopy datasets
  • Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area

Company info

  • We believe diversity, equity, and inclusion need to be at the foundation of our culture.

Equal opportunity

  • insitro is an equal opportunity employer.
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This listing is sourced directly from Insitro's careers page and normalized into a canonical job model.