Medical Data Science Director

Job Description

Role Summary

• The Value & Implementation (V&I) Medical Data Analytics Center Data Scientist Director assists the V&I organization in discovering information hidden in data to make data driven strategic decisions for the organization.

• This role requires a unique combination of skills to gain the trust of therapeutic area and regional colleagues, have an innovative mindset to think through novel ways to help us make better decisions, and execute on the idea by gathering the necessary data and building the necessary statistical models. This is a great opportunity for a self-motivated individual with strong business acumen along with technical competence.

• Enterprise Leadership skills for this role are:  Execution Excellence, Ownership and Accountability, Networking and Partnership, and Business Savviness.

Responsibilities and Primary Activities

• Partners with internal stakeholders to understand the needs of V&I

• Identifies appropriate data sources to address the needs of V&I 

• Designs and develops analyses (e.g., descriptive, diagnostic, predictive, prescriptive) to draw inferences and conclusions to inform decision-making for V&I 

• Ensures high quality, rigorous and readily interpretable deliverables

• Develops data visualizations and presentation decks to communicate findings 

• Provides recommended actions with stakeholders from senior and executive leadership teams

• Coaches team members to transform data into dynamic, resonant stories, visuals, and other innovative, insightful presentation methods for internal decision making by V&I

• Contributes toward a collaborative environment where the ACE team 1) maintains an entrepreneurial spirit 2) has a strong understanding of healthcare data and technology 3) can identify and use new data sources 4) effectively informs V&I plans and priority country medical plans

• Keeps abreast of the latest trends in the field through continuous learning and proactively championing new methods to help solve critical and emerging medical affairs problems and drive medical affairs activities

• Leads substantial change initiatives with broad implications.

• Leads the execution of key initiatives

• Identifies opportunities in key growth areas

• Collaborates and partners with peers in other functions (Human Health (HH), Outcomes Research as part of V&I, etc.) on cross-functional analytics projects and to drive efficiencies in developing innovative quantitative analyses

• Manages external vendors

• When required, works in partnership with colleagues to publish findings 

Required Qualifications, Skills, & Experience

Minimum

• Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 10 years of relevant job experience; or Master’s degree (computer science, physics, mathematics, actuarial science, or equivalent) with 6 years of relevant job experience; or PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 3 years of relevant job experience

• Demonstrated experience in Advanced Analytics, NLP, AI, Machine Learning, Modelling

• Experience with R, Python, SAS, or similar technologies

• Experience using SQL and SQL relational databases

• Experience with statistical methods such as correlation and regression

• Experience using real-world data including EMR and EHR

• Strong analytical and problem-solving skills

• Experience and strong business acumen in the pharmaceutical industry. 

• Ability to succinctly translate complex ideas and analytical results into actionable insights and recommended actions.

• Strong presentation skills

• Experience in building effective cross-functional partnerships and working across global teams.  Ability to influence peers and leaders

• Ability to effectively work at a strategic and a detailed level

• An entrepreneurial spirit with a high degree of initiative, innovative thinking, and intellectual curiosity

• High degree of personal integrity

Preferred

• Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 15 years of relevant job experience;

• Master’s degree (computer science, physics, mathematics, actuarial science, or equivalent) with 10 years of relevant job experience; PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years