Associate Director, Data Science

Job Description

Our Medical Affairs Team advances patient care by engaging in scientific exchange with external medical experts and industry professionals ensuring the scientific value of our products is realized. We engage and train internal employees to ensure that they thoroughly comprehend the science behind the medicine and review further unmet medical needs to bolster collaboration and further differentiate our portfolio.

We are seeking a Growth and Improvement minded Associate Director of Data Science that can help drive our strategic operating priorities.

• Invent | Pursue the Most Promising Internal and External Science to Address Significant Unmet Medical Needs

• Execute | Prioritize Resources Behind Our Key Growth Drivers (Oncology, Vaccines, Select Specialty Areas, Animal Health) While Optimizing Our Base Business)

• Adapt | Develop Our People, Culture and Business Model to Evolve with a Dynamic Landscape

• Diverse Talent | We are committed to providing an inclusive and welcoming environment with supporting leadership behaviors because having a high-performing, engaged workforce is critical to our ability to deliver innovative solutions to patients and customers around the world

• Values and Standards | Our Steadfast Commitment to Our Values and Standards will Continue to Guide Us as We Take on New Challenges and Will Always be Fundamental to Our Success – They are a Competitive Advantage for Us

Summary, Focus and Purpose:

The Associate Director of Data Science Data Science assists the Global Medical and Scientific Affairs (GMSA) 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, an innovative mindset to think through novel ways to help the organization make better decisions, and the ability to 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.

Key Functions

• Work Independently and as a Team member with Integrity | Precision | Accomplishment | Motivational Ambition | Respect | Inclusion

• Partners with internal stakeholders to understand the needs of GMSA

• Identifies appropriate data sources to address the needs of GMSA

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

• 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

• Contributes toward a collaborative environment where the Medical Analytics Center of Excellence 1) maintains an entrepreneurial spirit 2) has a strong understanding of healthcare data and technology 3) can identify and use new data sources

• Stays well informed 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

• Collaborates and partners with peers in other functions (Human Health (HH), Center of Observational and Real-World Evidence, etc.) on cross-functional analytics projects and to drive efficiencies in developing innovative quantitative analyses

• Manages external vendors

Education

• Required | Bachelor degree (computer science, physics, mathematics, actuarial science, or equivalent) with nine years relevant job experience

• Preferred | Master degree (computer science, physics, mathematics, actuarial science, or equivalent) with five years relevant job experience

• PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 2 years relevant job experience

Experience | Skills | Knowledge

Required

• Demonstrated experience in Advanced Analytics, Statistical Modeling, NLP, AI, Machine Learning

• Principled verbal and written communications

• Experience with R, Python, SAS, or similar coding applications | Using SQL and SQL relational databases | Analyzing real-world data assets including EMR and EHR

• Strong analytical and problem-solving skills

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