Clinical Machine Learning (Senior) Director

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Key to insitro’s efforts to rethink drug discovery is the ability to extract biologically and clinically meaningful signals from high content clinical data and to align them with human genetic signals, thereby bridging to experimental data produced in our in vitro cellular systems. As the Head of Clinical Machine Learning, you will continue to build and lead a team comprising machine learning scientists with an expertise in clinical data, and will collaborate with cross-functional colleagues to envision and oversee our scientific work in leveraging insights from clinical data sets.

You and your team will work with clinical data from large human cohorts such as randomized clinical trials, electronic health records, national biobanks, and other sources. You will lead the development of cutting edge ML approaches to analyze and integrate large-scale multi-modal phenotypic datasets, including physiological monitoring, longitudinal clinical data, electronic health records, diverse biomarker data, and medical imaging modalities. You will develop machine learning models that use high-content data alongside clinical endpoints to disentangle the heterogeneity of patient disease state and disease progression, and to identify relevant associations with clinical outcomes and with disease drivers.

Your work will involve the development and deployment of cutting edge methods in machine learning, addressing challenges such as distribution shift, site and population variability, data missingness, longitudinal progression, class imbalance, and small sample sizes, among other unique challenges. You will need to develop fit-for-purpose approaches that utilize methods such as self-supervised learning, multi-task learning, few-shot learning, and more. You will work in collaboration with the software engineering team to develop these methods as robust, reusable platform components that can be deployed on large-scale datasets in a portable way. 

You will also work closely with life scientists, statistical geneticists, bioengineers, medical scientists, machine learning scientists, and software engineers to integrate human-level data with our high-throughput in-house in vitro genomic and phenotypic data to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.

In this role, you will:

• Lead and grow a team of outstanding clinical machine learning scientists and engineers
• Guide your team to develop and deploy ML models for diverse clinical data, including imaging, blood biomarkers, clinical endpoints, and more 
• Onboard and build on state of the art methods, while also bringing in an understanding of the unique needs of clinical data
• Lead yearly and quarterly planning, set impactful goals, and align with with cross-functional stakeholders
• Engineer robust, reusable platform components in partnership with the software engineering team
• Work with the corporate development and strategy teams to acquire relevant clinical data sets
• Collaborate with colleagues specializing on representations for specific data modalities (‘omics, imaging, etc) to help produce a holistic, multimodal view on human disease state

You will be joining a vibrant biotech startup that has long-term stability due to significant funding, yet is in a high growth phase. 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! This role is preferably based in the San Francisco Bay Area or Boston, but we are open to discussing other locations in the United States and the UK.

About You

• Ph.D. in machine learning, biomedical informatics, computer science, or a related discipline, or equivalent practical experience;
• 5+ years experience working in industry and managing projects and deliverables;
• Experience and demonstrated ability to build and lead teams of engineers and scientists, including recruiting and mentoring team members;
• Demonstrated ability to architect and build reusable code infrastructure and work with engineering teams;
• Demonstrated ability to use and develop cutting edge machine learning methods for real-world clinical data;
• Experience in modern representation learning topics such as self-supervised learning, time series data, transfer learning, multi-modal modeling, few-shot learning, robustness and interpretability, uncertainty estimation, and more; 
• Experience using modern deep learning frameworks (PyTorch, Jax, etc);
• Proficiency in Python;
• Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions;
• Passion for making a difference in the world.

Nice to Have

• Publication record in high profile venues in machine learning, computer vision, or life sciences;
• Familiarity with cloud computing services (e.g., AWS or GCP);
• Exposure to basic concepts in biology or medicine
• Proficiency in scientific engineering and modern engineering practices;

Benefits at insitro

• Excellent medical, dental, and vision coverage; insitro pays 100% of premiums for employees
• Excellent mental health and well-being support
• Open vacation policy
• Access to free onsite baristas and cafe with daily lunch and breakfast
• Access to free onsite fitness center
• Commuter benefits
• Paid parental leave
• Competitive pay and 401(k) matching
• Flexible work schedule (on site and remote)