The Opportunity

At insitro, we are trying to greatly increase the success rate of drug development by combining human biology, lab automation, and machine learning, at scale.

Central to insitro's thesis is our ability to integrate rich datasets across modalities. From live cell imaging to single-cell RNA sequencing to DNA encoded libraries, insitro generates a diverse and ever growing torrent of data. Our team, Scientific Pipelines, develops the foundation of data pipelines that transform that torrent into the actionable datasets driving our target and drug discovery efforts.

In this role, you will work primarily with heterogenous, multimodal clinical datasets, and build tools to help characterize cellular and patient state, predict the effect of clinical interventions, and design more successful clinical trials. To achieve this, you'll partner directly with machine learning scientists, biologists, engineers, and clinicians to design and build a cohesive platform for data ingestion, transformation, and exploration.

We are open to both hybrid candidates local to the San Francisco Bay area and remote candidates for this role.

What you'll do day to day:

  • Ship stuff that makes our scientists say "this is amazing, thank you so much!"
  • Collaborate cross-functionally with folks from our machine learning, automation, and biology groups
  • Directly shape our roadmap for empowering scientists
  • Shape our early-ish engineering culture with your ideas and experience
  • All the normal SWE stuff: write code, write and review design docs, talk to collaborators, and do code reviews
  • Ultimately you'll move the needle in a meaningful way for insitro and the field of medicine

Examples of projects you will be working on:

  • Architecting components of our clinical data platform, spanning data ingestion, warehousing, and discovery
  • Building a data portal inspired by tools like HuBMAP and GDC, to make insitro's clinical data accessible to technical and nontechnical collaborators alike
  • Designing intuitive interfaces for visualizing and annotating radiology, digital pathology, and other high-content data and the insights that are derived from them
  • Embedding deeply with ML scientists, and helping them build multimodal models that map learned phenotypes to clinical outcomes

In return, we will support you by:

  • Placing a high degree of trust in your ideas and execution
  • Bringing you up to speed in the domain of drug development
  • Strive to provide a low-stress work environment
  • Making ourselves available for collaboration
  • Caring about you as a whole person - not a resource
  • Being a well funded startup with conservative runway

About you:

  • You have 5+ years of experience as a professional software engineer with 3+ years of full stack web development experience.
  • You're eager to ship work, wherever it is on the stack, that makes a difference to scientists and ultimately patients
  • You have a track record of turning ideas into maintainable and user-centric software products
  • You feel comfortable reasoning about the tradeoffs between quality and speed when building in a startup environment
  • You're familiar with the usual SWE things: AWS (or GCP/Azure), relational databases, writing design docs, version control, doing code reviews, perfecting our slackmoji game
  • As a bonus, you have: Experience navigating the regulatory landscape of drug development and a strong understanding of data privacy in clinical and genomic research
  • Experience with medium sized (100TB+) cellular or clinical datasets such as sequencing or histopathology
  • Experience with electronic medical records
  • Experience with data and machine learning pipelines
  • Experience with our stack: Python, Javascript/Typescript, React, SQLAlchemy, PostgreSQL, Docker, AWS

Compensation & Benefits at insitro

Our target starting salary for successful US-based applicants for this role is $185,000 - $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 (insitro pays 100% of premiums for employees on our base plans), as well as mental health and well-being support
  • Open, flexible vacation policy
  • Paid parental leave
  • 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 cafe with daily lunch and breakfast
  • Access to free onsite fitness center
  • Commuter benefits

 

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 teams–grounded in a wide range of expertise and life experiences–and 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.

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 insitro’s 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, oncology 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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