Sr. Director, Data Science

Job Description

Sr. Director, Disease and Molecular Pathways (R6)

Job Summary:
The Precision Genetics group within the Data, AI, and Genome Sciences (DAGS) Department is seeking a dynamic and experienced Sr. Director of Disease and Molecular Pathways. The ideal candidate will have a proven track record in integrating multi-omic data to elucidate causal disease biology, coupled with exceptional leadership skills to manage a high-performing team of data scientists.

Key Responsibilities:
In this pivotal role, you will:

• Lead and Mentor: Manage, mentor, and recruit exceptional team members to create an end-to-end AI/ML pipeline capable of building, evaluating, iterating, and testing the performance of robust models leveraging relevant biological and clinical datasets.

• Feature Engineering: Implement an advanced feature engineering process to identify, extract, evaluate, and integrate a comprehensive suite of multi-scale and multi-omic features from proprietary data assets, facilitating rapid AI/ML model development.

• Communicate Insights: Translate complex AI/ML strategies and biological data insights into compelling visual narratives for stakeholders, employing best-in-class visualization techniques.

• Data Integration: Identify and incorporate appropriate public data sources to enhance AI/ML model building and foster innovation.

• Project Management: Tackle challenging projects, proactively anticipate obstacles, and forecast timelines for deliverables, ensuring alignment with pipeline objectives.

• Supervision: Oversee the work of junior colleagues, fostering a collaborative and supportive work environment.

• Collaboration: Partner effectively with experimental scientists in a matrixed environment to develop research plans and optimize resource allocation, maximizing operational efficiency.

• Results Communication: Clearly convey research outcomes to project teams, our scientific community, and external stakeholders through reports, presentations, and publications in reputable journals.

Required Experience and Skills:

• Ph.D. in a relevant field with a minimum of 10 years of industry experience applying advanced analytical approaches to early drug discovery.

• Proven track record of at least 8 years leading high-performance computational teams and nurturing top data science talent.

• Demonstrated expertise in developing precision medicine-focused AI/ML models through computational analysis.

• Proficiency in coding (R/Python) with the ability to establish best practices for reproducible data analyses.

• Strong interpersonal skills and the ability to influence stakeholders in complex, matrixed organizations.

• Excellent verbal and written communication skills, with a talent for conveying complex information clearly and effectively.

• Ability to build and maintain productive collaborations with external partners.

Preferred Experience and Skills:

• Experience in biopharma data science groups, with a focus on establishing long-term data science strategies.

• Background in creating multi-omic disease network biology models.

• Familiarity with the fundamentals of human genetics and their application in drug discovery.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

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