Senior Director, Data Sciences and Advanced Analytics

Working with Us

Challenging. Meaningful. Life‑changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high‑achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:

As a key leader of the Data Science and Advanced Analytics (DSAA) organization in drug development, you will be part of a cross‑functional team of drug development scientists and data scientists focused on providing hands‑on skills, expertise, and tools to facilitate access, integration, visualization, and exploratory analysis of complex and diverse data in support of clinical development activities and decisions. The Data Science Lead will drive execution of exploratory analysis (hypotheses generating and hypotheses generated questions) for scientific considerations related to drug development and clinical study design.

Through practical hands‑on work, you will define approaches, processes, algorithms, and tools that support the analytics, visualizations, and decision support needs of drug development scientists and projects. You will play a key role in building the team with the necessary skills, building relationships with relevant stakeholders, and implementing relevant tools and approaches. You will collaborate with Biostatistics leads and other members of drug development teams to ensure connectivity of exploratory analysis work in support of development, regulatory approval, and market acceptance of BMS products.

This position may include functional management responsibilities.

• Lead a team of approximately 5 individuals with diverse expertise to drive the data science objectives across early to late‑phase drug development in a specific therapeutic area.
• Develop novel ways of integrating, mining, and visualizing diverse, high‑dimensional data sets.
• Develop and apply novel or existing computational methods for patient segmentation from multimodal clinical and omics datasets for various treatment modalities in partnership with Translational, Informatics, Clinical and Statistical scientists.
• Develop, validate, and implement predictive models, and deploy automated processes for producing modeling results at scale.
• Generate novel insights from data and present them via rich and intuitive visualizations.
• Build successful partnerships and seamless interfaces within the department and the broader research and development organization. Communicate proactively and effectively across several teams with diverse subject matter expertise.
• Ensure quality of deliverables by consistently applying analysis and reporting standards, and driving compliance with regulatory requirements, corporate and departmental SOPs, and work practices.
• Drive the development and implementation of innovative strategies and technologies.
• Independently develop, troubleshoot, and maintain complex programs and utilities in accordance with predefined specifications and BMS standards.
• Provide technical guidance to external partners concerning project and data standards, and analysis practices to ensure efficient and integrated project strategies.
• Understand software development methodologies and appropriately apply those methodologies.
• Identify opportunities for increased efficiency and consistency within the DSAA organization and provide SME support to continuous improvement initiatives within and beyond DSAA.

• PhD in a relevant quantitative field (i.e. Biostatistics, Statistics, Bioinformatics, Computer…