Senior Director, Data Sciences and Advanced Analytics

Job Title: Senior Director, Data Sciences and Advanced Analytics

Location: Princeton, New Jersey, United States

Type: Full Time

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 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 modes, 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 interpersonal skills, capable of interfacing well at multiple levels within and across R&D.
• Demonstrated ability to develop and lead a team of individuals with diverse experience and expertise.
• Ability to explain technically complex information for a non-technical audience.
• Proven ability to develop and execute strategic and long-range plans across a wide scope within an organization.
• Strong positive attitude, thrives in a dynamic, fast paced environment with many simultaneous projects.
• Expert knowledge of programming languages (R, Python) in high performance computing environment (e.g., AWS)
• Experience with NLP is highly preferred
• Knowledge of industry practices and regulatory requirements.