AWS, Azure, Docker, Google Cloud Platform (GCP), JavaScript, Machine learning techniques, Python Programming, React.js, SQL, TypeScript
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:
Examples of projects you will be working on:
In return, we will support you by:
About you:
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:
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.
insitro is a data-driven drug discovery and development company using machine learning and data at scale to transform the way that drugs are discovered and developed for patients. insitro is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale. These predictive models can be brought to bear on key bottlenecks in pharmaceutical R&D.
South San Francisco, CA, USA
12-14 year
South San Francisco, CA, USA
12-14 year