Senior Director, Data Science & AI, Data Science Lead

Job Description

Senior Director, Data Science and AI, Data Science Lead

Our Artificial Intelligence and Machine Learning (AI/ML) capabilities are vital catalysts for our mission to invent new medicines that save and enhance lives. The Data, AI, and Genome Sciences (DAGS) function at our organization adopts an AI/ML-first approach to enhance target and biomarker discovery by driving the understanding of complex disease mechanisms.

As the Senior Director of Data Science and AI, Data Science Lead you will leverage your expertise in target discovery, genomic technologies, multi-omics data integration, and disease biology to drive the development of multi-modal AI/ML modeling approaches, biological validation and insight generation for target and biomarker discovery. You will collaborate with Biologists, Computational Biologists, Data Scientists, Software Engineers, and AI/ML Scientists and Engineers as part of a cross-functional team dedicated to identifying therapeutic targets. You will report to the Executive Director and Head of AI/ML.

Primary Responsibilities:

• Manage, mentor, and hire outstanding data scientists responsible for driving and validating novel AI/ML approaches for target and biomarker discovery across therapeutic areas.

• Drive the development, validation and translation of cutting-edge AI/ML approaches leveraging high-throughput, deep-profiling and patient-derived tissue data to decode disease-relevant cellular interaction and cell-type specific molecular networks with the goal of novel target and biomarker discovery.

• Drive data strategy for foundation dataset for Foundation Models for disease biology discovery, collaborating with cross-functional teams to understand project goals and data requirements.

• Clearly communicate results to project teams, our company’s scientific community, and the external scientific community through internal documents, presentations, and publications in leading journals.

Required Experience and Skills:

• PhD in a relevant field such as computational biology, bioinformatics, systems biology, or a related discipline, with 12+ years of industry experience in target discovery, genomic technologies, multi-omics analysis, therapeutics sciences, and disease biology.

• A solid track record of 5+ years managing (direct or matrix) high-performing data scientists.

• Strong understanding of multi-omics data, including analysis techniques, algorithms, statistical approaches, multi-omics data integration, and relevant tools.

• Demonstrated expertise in decoding disease biology by leveraging next-generation of machine learning and statistical inference frameworks to analyze multi-modal (transcriptomics, epigenomic) and multi-scale (single cell and/or spatial) patient-derived data.

• Expertise in Python and best practices for reproducible data analysis.

• Experience with Knowledge Graphs, including graph databases and query languages, would be advantageous.

• Excellent communication skills and ability to work collaboratively in a multi-disciplinary team.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.