Associate Director, Data Science (Remote)

Job Description

Role Summary

• The GMSA Medical Data Analytics Center Data Scientist Associate Director 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 will support the therapeutic areas of General Medicine, Infectious Diseases and Vaccines.

• 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.

Responsibilities and Primary Activities

• 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 Data Analytics Center team 1) maintains an entrepreneurial spirit 2) has a strong understanding of healthcare data and technology 3) can identify and use new data sources.

• 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.

• 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.

Required Education, Qualifications, Skills, & Experience:

Minimum

• Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 9 years of relevant job experience; -or- Master’s degree (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience; -or- PhD (computer science, physics, mathematics, actuarial science, or equivalent) with 1 year of relevant job experience.

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

• Experience with R, Python, SAS, or similar coding applications

• Experience using SQL and SQL relational databases

• Experience analyzing real-world data assets including EMR and EHR

• Strong analytical and problem-solving skills

• 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. 

• Strong listening skills. 

• Attention to detail. 

• 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 of relevant job experience.

• Experience in Global Medical Affairs

• Experience using CMS quality data

• Exposure to payer analytics or Market Access analytics

• Advanced skills in Microsoft Excel, PowerPoint, and Word

• Experience with visualization software such as Tableau, Spotfire, Qlik, or related

• Exposure to Big Data technology such as AWS Redshift

• Experience with cloud computing services (e.g., AWS)

• Experience using version control and object-oriented programming