Insitro

Insitro

Senior Machine Learning Scientist, Imaging

South San Francisco, CA · Senior

Sponsorship not specified$215k-$235kDetected 241 days ago
PythonSQLAWSAzureMachine LearningDeep LearningTensorFlowPyTorchComputer VisionMicroscopyCommunicationPublic Speaking

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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$110,3861 entry
Level II$142,4382 entries
Level III$174,5123 entries
Level IV$206,5654 entries

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

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · 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

  • At insitro, we use machine learning to derive clinically relevant insights from rich datasets generated in-house.
  • You will be joining a vibrant biotech startup that is in a high growth phase, with promising multiple pre-clinical drug targets in areas such as ALS and metabolic disease.

Responsibilities

  • Partner with experimental and computational biologists to design, troubleshoot, and optimize high-throughput imaging-based experiments and workflows
  • Work closely with software engineers to build robust and well-tested image analysis workflows, able to be used by experimental and computational biologists with minimal direct support
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions on a daily basis
  • 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 ability to identify, understand, and find novel applications of state-of-the-art ML/CV methods from literature or other sources

Nice to have

  • Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects.
  • Experience modeling with video or imaging time-series datasets
  • Experience with microscopy hardware, and/or image data acquisition in other contexts
  • Understanding of optical physics, resolution, numerical aperture, etc.
  • Familiarity with cloud computing services (e.g., AWS or Azure)
  • Experience with database languages (e.g., SQL)

Skills

  • Imaging based phenotyping of in-vitro biology is at the heart of insitro's efforts to accelerate drug development.
  • A lot can change in this exciting phase, providing many opportunities for significant impact.

Compensation

  • Our target starting salary for successful US-based applicants for this role is $215,000 - $235,000.
  • 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
  • Identify, understand, develop, and deploy novel computer vision and machine learning methods such as segmentation, feature extraction, and representation learning to extract features from microscopy image datasets
  • Ph.D. in computer vision, machine learning, computer science or a related discipline, or equivalent practical experience (e.g., a Master's degree and 2+ years of relevant industry experience)
  • 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.

This listing is sourced directly from Insitro's careers page and normalized into a canonical job model.