VP / SVP, Machine Learning & Data Science at Insitro
South San Francisco, CA, US

The Opportunity

The heart of insitro’s strategy is the development of novel, cutting edge methods in machine learning that address key bottlenecks in the drug development pipeline. To accomplish that, we are putting together an incredible team of highly talented machine learners and data scientists who want to make a difference to this important problem. In this leadership role, you will build and lead this key team. You will report directly to the CEO, and be a key member of insitro’s leadership team. You will build and lead a world-class data science & machine learning team, which will work closely with a cross-functional team of life scientists and bioengineers to identify areas where machine learning can make a difference, to figure out how the latest technologies can be used to produce the right data to train ML models, to design the experiments, to rigorously analyze data, pull out key insights, and make accurate predictions that will let us quickly develop drugs that have high efficacy and low toxicity. In doing so, you will work with your team to come up with novel methods that use a broad spectrum of machine learning approaches, including techniques at the forefront of the field. We aim to develop large data sets, and apply cutting edge machine learning methods; hence, you will need to develop and deploy machine learning methods at petabyte scale. You will also be responsible for developing software engineering standards that ensure high-quality, robust, reusable code.


You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and 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. Join us, and help make a difference to patients!


About You

  • BSc, MSc, or PhD in technical field (Computer Science, Electrical Engineering, Bioinformatics, etc.) or equivalent practical experience

  • Extensive experience with a broad spectrum of state-of-the-art ML methods, including different forms of regularized regression, Bayesian methods, deep learning, and more

  • A strong track record in developing novel, cutting edge machine learning algorithms that go considerably beyond the use of standard methods, as demonstrated by the production of papers in highly refereed venues or of software systems recognized to be at the leading edge

  • 12+ years of work experience in a role involving ML method development for real problems, ideally also in tasks that involve data at petabyte scale

  • Demonstrated track record in building a top-notch ML team, including the ability to source, identify, and recruit top talent

  • 3+ years of experience leading a high-performance team, including setting a vision, and creating a culture of effective, high-quality methods development and reducing those methods to a practical implementation

  • Significant familiarity with concepts in biology; experience working directly with biological data (genetics, genomics, proteomics, etc.) is a strong plus  

  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions, including a track record of collaborating with life scientists

  • Passion for making a difference in the world


Benefits at insitro

  • Excellent medical, dental, and vision coverage

  • Open vacation policy

  • Team lunches (catered daily)

  • Commuter benefits

  • Paid parental leave


About insitro

insitro is an exciting startup company that aims to take a new approach to drug development: one with big data and machine learning at its core. We plan to build on the ground-breaking innovations that have occurred in life sciences to develop large data sets that are designed from the start to allow machine learning to address fundamental bottlenecks in the drug development process. Our goal is to cure more people, sooner, and at a much lower cost.


We are fortunate to have the strong support from the top investors in both biotech and tech: ARCH Ventures, Foresite Capital, A16Z, GV, and Third Rock Ventures. We are building a remarkable team that embodies a new type of culture, one based on a true partnership between scientists, engineers, and data scientists. Together we are working to define the problems, design experiments, analyze the data, and derive the insights that will lead us to new therapeutics. Join us, and help make a difference to patients!