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: careers.bms.com/working-with-us.

SENIOR DIRECTOR POSITION

As a key leader of the Data Science and Advance Analytics (DSAA) organization in drug development is 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, the Data Science Lead will define approaches, processes, algorithms, and tools that support the analytics, visualizations, and decision support needs of drug development scientists and projects. The Data Science Lead will play a key role in building the team with the necessary skills, build relationships with relevant stakeholders, and implement relevant tools and approaches. The Data Science Lead 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 Bristol-Myers Squibb (BMS) products. This position may include functional management responsibilities.

What you’ll do:

• 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.
• Builds successful partnerships and seamless interfaces within the department and the broader research and development organization. Communicates proactively and effectively across several teams with diverse subject matter expertise.
• Ensures quality of deliverables by consistently applying analysis and reporting standards, and driving compliance with regulatory requirements, corporate and departmental SOPs, and work practices.
• Drives the development and implementation of innovative strategies and technologies.
• Independently develops, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and BMS standards.
• Provides technical guidance to external partners concerning project and data standards, and analysis practices to ensure efficient and integrated project strategies.
• Understands software development methodologies and appropriately applies those methodologies.
• Identifies opportunities for increased efficiency and consistency within the DSAA organization and provides SME support to continuous improvement initiatives within and beyond DSAA.

Key Requirements:

Degree Requirements:

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

Experience Requirement:

• 10+ years of relevant experience after receiving a graduate degree

Key Competency Requirements:

• Mastery in data analysis with data generated from clinical trials, observational