Senior Director, Data Sciences and Advanced Analytics

Senior Director, Data Sciences \& Advanced Analytics

Location: Princeton, NJ (Hybrid) \| Full-Time

About the Role

This Senior Director role is a key leadership position within Data Science and Advanced Analytics, partnering closely with drug development, clinical, and research teams across early to late-stage programs. The role combines

hands-on technical leadership

,

strategic direction

, and

people management

, with a strong focus on transforming complex data into insights that directly influence clinical development decisions.

You will lead a high-performing team of data scientists and collaborate cross-functionally to develop advanced analytical approaches, scalable modeling solutions, and intuitive data visualizations that support scientific discovery, regulatory readiness, and long-term product success.

What You’ll Do

• Lead and develop a team of \~5 data scientists supporting drug development across a defined therapeutic area
• Drive exploratory and hypothesis-driven analyses to inform clinical study design and development strategy
• Design and implement innovative approaches for integrating, mining, and visualizing complex, high-dimensional datasets
• Develop, validate, and deploy predictive models and scalable analytics pipelines
• Apply advanced AI, machine learning, and deep learning methods to multimodal clinical and omics data
• Partner closely with clinical, translational, informatics, and biostatistics teams to ensure aligned and impactful analytics
• Translate complex analytical findings into clear, decision-ready insights for scientific and non-technical audiences
• Ensure analytical rigor, quality, and compliance with regulatory standards, SOPs, and best practices
• Identify opportunities to improve efficiency, consistency, and innovation across analytics workflows
• Provide technical guidance to external partners on data standards, modeling approaches, and analysis practices
• Contribute to long-term strategy, technology roadmap development, and continuous improvement initiatives

Required Qualifications

Education

• PhD in a quantitative discipline (e.g., Biostatistics, Statistics, Bioinformatics, Computer Science, or related field)

Experience

• 10\+ years of relevant post-graduate experience in data science, analytics, or quantitative research
• Demonstrated experience leading teams with diverse technical backgrounds
• Proven ability to drive analytics strategy across complex, matrixed R\&D environments

Technical \& Leadership Expertise

• Deep expertise in clinical trial, observational, and real-world data analysis
• Strong foundation in statistical modeling (e.g., GLMs, nonlinear models, survival analysis)
• Advanced experience with AI, machine learning, and deep learning techniques
• Experience working with imaging, genomics, proteomics, and multimodal datasets
• Proficiency in R and Python within high-performance or cloud-based environments (e.g., AWS)
• Experience with NLP strongly preferred
• Strong understanding of software development methodologies and scalable analytics solutions
• Excellent communication, leadership, and stakeholder management skills
• Ability to explain complex technical concepts to non-technical audiences
• Strategic mindset with the ability to execute long-term plans in fast-paced environments

Travel

• Up to 20% travel for meetings, conferences, or scientific congresses

Compensation

Competitive executive-level compensation, including base salary, incentive bonus, and equity components. Final compensation is determined by role scope, experience, and location.

Work Model

Hybrid role with regular on-site collaboration required. On-site presence is considered essential to enable innovation, scientific exchange, and cross-functional partnership.