Senior Software Engineer, Insitro
Imaging
$185-210k
+ Annual Performance Bonus Plan + Equity Incentive Plan
3+ days a week in office
Machine learning drug discovery & development
Be an early applicant
Machine learning drug discovery & development
201-500 employees
Be an early applicant
$185-210k
+ Annual Performance Bonus Plan + Equity Incentive Plan
3+ days a week in office
201-500 employees
Company mission
To bring better drugs faster to the patients who can benefit most, through machine learning and data at scale.
Role
Who you are
- We are looking for a highly motivated and collaborative engineer who is passionate about enabling scientific breakthroughs through robust platform development
- Senior Experience: You bring 6+ years of professional experience building and operating production-grade software and high-throughput data pipelines, primarily using Python
- Architectural Leadership: You have a proven ability to own complex, end-to-end projects, making thoughtful architectural trade-offs, and delivering solutions incrementally with a focus on long-term maintainability
- Cross-Functional Partnership: You thrive in cross-functional settings and excel at translating abstract research and experimental needs into practical, scalable software systems
- Mentorship & Documentation: You enjoy sharing knowledge, mentoring others, and are capable of writing clear, exemplary technical specifications and documentation
- ML Platform Focus (Highly Valued): Direct experience designing, building, and deploying machine learning pipelines, visualizations, and QC processes for large-scale imaging or similar high-dimensional datasets
- Biotech Context (A Plus): Prior experience working with large biological datasets and/or high-content imaging is beneficial
- Relevant Technologies: Familiarity with our core Python-first ML stack, distributed compute technologies (e.g., PyTorch/Lightning, Ray, Kubernetes), and workflow orchestration tools (e.g., Argo, Airflow, or redun)
What the job involves
- We are seeking an experienced Senior Software Engineer to join our Imaging Software Team
- This role is a unique opportunity to define and expand our Computer Vision and ML infrastructure across the full imaging data lineage, from on-microscope acquisition to high-throughput ML pipelines
- You will be responsible for building platform features that make novel imaging modalities and ML-derived phenotypes integral to our discovery workflows
- Your work directly bridges experimental science and modern machine learning, transforming cutting-edge research prototypes into validated screening workflows that operate robustly at laboratory automation scale
- This position offers a clear path to shaping the future of drug discovery by setting the technical direction for how imaging, automation, and machine learning converge
- This role will report to the Senior Manager, Imaging Software and will be hybrid with the expectation of being onsite 3 days a week
- Platform Enablement: Partner with lab and ML scientists to design, develop, and scale platform capabilities required to design, run, and interpret ML-powered high-content screens
- Production Hardening: Scale and harden complex image processing and ML workflows, taking them from research prototype to reliable, routine use
- User Tooling: Build and evolve robust tools and interactive interfaces for data exploration, quality assessment, and visualization to help scientists iterate quickly on experimental data
- Collaboration: Collaborate closely with lab scientists, ML scientists, and microscopy teams to translate complex experimental needs into clear, actionable technical plans and high-quality, shipped software
- Data Integrity: Set and uphold best-in-class practices for data integrity, lineage, reproducibility, and observability across the entire imaging data lifecycle
Our take
The synthetic biology market is rapidly growing, projected to increase from $10.7B in 2021 to over $74.7B by 2031. This growth is fueled by advances in biotechnology and expanding applications in healthcare, agriculture, and energy.
With these rapid advancements, insitro is seizing the opportunity to lead the way. The company is transforming drug discovery by combining machine learning with high-throughput biology. By using AI, insitro aims to overcome the bottlenecks of traditional methods, driving down costs and enabling the development of more effective treatments.
To help it on its mission, insitro recently secured strategic agreements with Eli Lilly for metabolic disease treatments and it also expanded its leadership in AI/ML. With this, the company is surely set to accelerate drug development, promising a future of faster and more effective treatments for patients.
Freddie
Company Specialist at Welcome to the Jungle
Insights
28% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2021
$400m
SERIES C
May 2020
$143m
SERIES B
Total funding: $643m
Company benefits
- Complete Healthcare Coverage: Take your health seriously without worrying about the costs. insitro offers comprehensive coverage with low premiums for you and your family
- Wellness Benefits: Prioritize your well-being beyond medical care. insitro offers a comprehensive range of benefits tailored to support all aspects of wellness
- Mental Health Support: Our generous healthcare plans include access to digital mental health platforms with a range of services for you and your loved ones
- Supportive Time Off Policies: Flexible vacation time, generous paid parental and bereavement leaves, and a year-end shutdown week
- Support for Hybrid Work: Balance work and your personal commitments with in-person, hybrid and remote options based on the team and role. We support you with home office setup reimbursement as well as co-work space stipends for remote workers
- Formal Learning and Training Programs: Partake in formal programs to help you grow and develop, from day 1 onboarding to new manager training to our annual, in vivo week
- Self Development: Annual personal budget for books, external training, and conferences that nurture you professional passions and development interests
- Access to Knowledge Leaders: Engage with in-house and visiting scholars and experts throughout the year at special events designed exclusively for insitrocytes
- Extensive HQ Benefits: Our insitro HQ offers free daily meals via an onsite cafe and coffee shop, a free fitness facility, an onsite childcare center, and free commuter shuttle buses
- Social Connection: get to know your colleagues at our weekly HQ happy hours, celebrations for special cultural events, and casual meet-ups for sports, music, outdoor activities, and more
Company HQ
The East Side, South San Francisco, CA
Leadership
Daphne Koller
(Founder & CEO)Co-founder of engageli and previously Coursera. They also spent a year at CalicoLabs as the Chief Computing Ofificer and over 18 years at Stanford University as a Professor.
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