Imaging based phenotyping of in-vitro biology is at the heart of insitro's efforts to accelerate drug development. At insitro, we use machine learning to derive clinically relevant insights from rich datasets generated in-house.
As an Imaging ML Scientist, you will develop ML-empowered computer vision pipelines to extract insights about disease mechanisms from multiple microscopy modalities. You will be part of a cross-functional team of life scientists, software engineers, computational biologists, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity.
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. A lot can change in this exciting phase, providing many opportunities for significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes.
This role will be reporting to the Director of Imaging, Cellular Machine Learning. This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week. Join us, and help make a difference to patients!
Partner with experimental and computational biologists to design, troubleshoot, and optimize high-throughput imaging-based experiments and workflows
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
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
Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions
Communicate findings to cross-functional stakeholders through reports, visualizations, presentations, and publications
Identify novel disease-relevant phenotypes and propose new screening paradigms that translate to actionable program decisions
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)
Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions on a daily basis
Demonstrated ability to identify, understand, and find novel applications of state-of-the-art ML/CV methods from literature or other sources
Strong programming skills in Python, including working with TB-scale image datasets and leveraging modern agentic software tools to accelerate development
Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern deep learning frameworks (PyTorch, TensorFlow, Keras, etc)
Extensive hands on experience working with microscopy data or similar biomedical or physical imaging modalities
Passion for making a difference in the world
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)
Publication record of meaningful contributions to high-quality work in relevant computer vision, clinical ML, or biomedical venuesÂ
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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. We may also adjust this range in the future based on market data.
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.
In addition, insitro also provides our employees:
401(k) plan with employer matching for contributions
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)
Quarterly budget for books and online courses for self-development
Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
New hire stipend for home office setup
Monthly cell phone & internet stipend
Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
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
insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teamsâgrounded in a wide range of expertise and life experiencesâand work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.
Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at info@insitro.com.
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About insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitroâs approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. 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. For more information on insitro, please visit www.insitro.com.
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