Job Description Summary

Job Description

Be part of something bigger!

BD is one of the largest global medical technology companies in the world and is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. We have over 65,000 employees and a presence in virtually every country around the world to address some of the most challenging global health issues

Director, Data Science and Analytics

The Director, Data Science and Analytics will lead a group of data scientists and analysts, and partner with other senior leaders to build innovative and scalable data applications that deliver differentiated value to our customers. In addition to having enterprise responsibility for developing and executing the strategy for the data science and analytics function across MMS and STS, this role will have direct responsibility for delivering revenue generating analytics to life science and governmental customers.

Responsibilities will include the fostering of innovative solutions to customer needs, the day-to-day management of simultaneous projects and delivering product designs to agreed specifications within time and budget constraints. It will be important to collaborate with Medical Affairs, Platform Management, Health Economics and Outcomes Research (HEOR), R&D Software Leaders, and the customer account teams to help integrate Data Science techniques into our customer offerings.

A key responsibility of this role is to recruit, train, mentor and motivate a premier data science and analytics team of direct reports and matrixed team members, empowering them to innovate while providing technical expertise needed to make decisions that are best for the business. As a member of the leadership team for STS and MMS Integrated Solutions, the candidate will be expected to actively contribute to the broader strategy of each of these organizations. The position will report to the Senior Director, R&D for Software Technology Solutions with a dotted line to the VP/GM, Integrated Solutions for Medication Management Solutions.

Responsibilities

• Sets ambitious and clear AI enablement vision, develops comprehensive view into enterprise Data Science and Machine Learning needs and translates into specific strategies and paths of execution.
• Partners with business and technical leaders to identify and solve for specific data, needs, and demands related to ongoing and future product development opportunities and insights
• Lead design and development of scalable production-ready analytics solutions using a wide array of techniques and methodologies in the field of statistical modeling, machine learning, and other AI technologies to meet the needs of given client engagements
• Work on large scale real-world health data for evidence generation and to drive innovation via the use of data driven insights to our customers biggest problems
• Develop strategic relationships with industry and academic partners that advance the defined strategy
• Delivers budgeted annual revenue for life science analytics
• Collaborate closely with R&D software leaders and data center operations teams to operationalize algorithms into products and streamline infrastructure needed to drive research.
• Contribute to industry thought leadership and facilitate client relations across network of existing and potential clients
• Leads and develops direct reports and indirect functional teams
• Provide leadership on matters pertaining to the utilization of data, implementation of the analytics strategy and tactics.
• Be a champion for organizational efforts in Data Governance and Data Security.

Requirements

• 10+ years professional work experience leading data science teams and experience Agile methodologies
• Experience as a healthcare data scientist/advanced analyst, healthcare economist, or statistician with 3+ years leading cross functional efforts and teams
• Master’s degree in Computer Science, Statistics, Economics or other closely related field
• Proven track record of building data science teams and delivering on complex initiatives
• Mastery of statistical software, scripting languages, and packages
• Knowledge of, or experience working with database systems
• Demonstrated ability to generate new ideas, and develop them from your concept to a solution
• Excellent communication and presentation skills, proficiency in data interpretation, delivering messages with impact to internal and external customers

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Additional Locations

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