Senior Director, Data Sciences and Advanced Analytics

Overview

SENIOR DIRECTOR POSITION

As a key leader of the Data Science and Advance Analytics (DSAA) organization in drug development, this role 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 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.

• 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 partnerships and 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 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.

Degree Requirements:

• PhD in a relevant quantitative field (e.g. 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 research and real world data, and modeling methods particularly in their application to clinical trials.
• Strong expertise in a wide range of AI/DL/ML algorithms.
• Strong background in core statistical methods such as generalized linear and nonlinear models, survival analysis, etc.
• Experience in disease areas related to oncology, neuroscience, and immunology.
• Expertise with various types of data such as imaging, genomics, and proteomics.
• Outstanding technical and analytic skills, proficient at understanding and conceptualizing business problems and implementing analytic or decision support solutions.
• Excellent communication, organizational, motivational, leadership, and…