(Senior) Director/Clinical Fellow Neuroscience

The Opportunity

The heart of insitro’s strategy is the combination of novel, cutting edge methods in machine learning, biology at scale and small molecule discovery that address key bottlenecks in the drug development pipeline. We are searching for an outstanding physician scientist with expertise in the utilization of human clinical, biomarker and genetic data sets to help guide our neuroscience drug discovery strategy. In this role you will be responsible for putting together a vision for aligning our internal and partnered programs with patient clinical outcomes. You will work on a cross-functional team and serve as a bridge between the teams developing ML enabled in vitro cellular models, human genetics data, and human biomarker data to inform our neuroscience drug discovery strategy. You will lead the strategy for using clinical data to inform our understanding of patient outcomes and disease progression, and for identifying clinically relevant patient subpopulations.  You will be an integral part of the neuroscience team and work closely with the executive team to develop a mature machine learning enabled neuroscience drug discovery strategy. 

 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!
Your primary duties will be to:

• Play a key strategic role in integration of the patient perspective to inform disease modeling and drug discovery efforts, including understanding the standard of care, areas of unmet need, and identifying viable target-patient profiles. 
• Partner with colleagues in data science & machine learning (DSML) and in corporate development to identify critical data assets and/or commission the generation of data for biomarker discovery in neuroscience. 
• Collaborate closely with data science & machine learning (DSML) colleagues to define machine learning (ML) models for clinical data to inform our understanding of patient trajectory and patient subpopulations and to identify novel endpoints for clinical trials.
• Longer-term, partner with market planning and commercial development colleagues on market research and target-patient profiles for new programs.
• Contribute as a clinical area expert dedicated to delivering biomarker strategies for neuroscience.
• Participate in efforts to design ML-enabled clinical trials for internal and/or partnered programs. 
• Prepare IND-enabling data packages in alignment with clinical development objectives.
• Participate in strategic overview of presentations, publications, and internal/external communications along with accountable project and program leadership.

About you

• MD or MD/PhD in a technical field (genetics, neuroscience, molecular biology, cellular biology, etc.) or equivalent, with 8+ years of experience.
• Experience working with patients, patient data, patient trajectories/disease progression and clinical trial design. 
• Experience with biomarker data sets such as; proteomics, metabolomics, transcriptomic and/or imaging clinical data sets.
• Experience working as part of a high-performance team, including goal setting, and contributing to a culture of effective, high-quality methods development and reducing those methods to a practical implementation.
• Excellent teamwork, communication, time management and organization skills.
• Strong verbal and written communication skills across all levels both within an organization and with external partners.

Nice to have

• Experience working with human genetics and analyzing human genetic data sets.
• Experience building partnerships or collaborations with data scientists or computational biologists, engineers and experimental biologists.
• A strong record of publications in a relevant scientific discipline

About insitro
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 to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of biologic insights and molecules in neuroscience and metabolic diseases. Since formation in mid 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 the company’s website at www.insitro.com.