Aartificial intelligence, Effective communication skills, Machine learning techniques, Operations
You will build and then lead the clinical operations function at insitro, including by developing and implementing clinical operations strategies to support the development of multiple therapeutics and diagnostics. How to identify the right patients, enroll them efficiently, and obtain, validate, and document robust clinical data to inform decision making remain key challenges for clinical trial operations. Therefore, you will be at the forefront of designing and implementing innovative, accelerated operations approaches, and you will have the opportunity to utilize insitro's machine learning expertise to achieve operational excellence.
You will report directly to the Chief Medical Officer. This role can be either onsite (3 days per week) in our South San Francisco office or hybrid (~1 week per month) in our office. Additional travel may be needed to relevant medical and health authorities.
This is an excellent opportunity for a seasoned clinical operations professional who is passionate about using their skills and experience to accelerate the drug development process and bring better drugs to the patients who can benefit most.
Responsibilities
About You
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $240,000 - $300,000. 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:
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.
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