Job Description

Role Summary

• The Value & Implementation (V&I) Medical Data Analytics Center Data Enablement Associate 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 developing analytic solutions that will fulfill our internal stakeholders’ needs.  This is a great opportunity for a self-motivated individual with strong business acumen along with technical competence.

• Relevant Enterprise Leadership Skills (ELS) for this role include: Execution Excellence, Ownership and Accountability, 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. 

• 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 V&I problems and drive V&I activities.

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

• Manages external vendors.

• Develops and owns scalable-analytic products that fulfill stakeholders needs.

• Develops and maintains internal databases, data pipelines, and supporting documentation.

• Designs and develops analyses to draw inferences and conclusions to inform decision-making for V&I.

• Provides recommended actions to stakeholders.

Required Qualifications, Skills, & Experience

Minimum

• Bachelor's degree (computer science, physics, mathematics, actuarial science, or equivalent) with 8 years of relevant job experience; Master’s degree (computer science, physics, mathematics, actuarial science, or equivalent) with 5 years of relevant job experience; 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

• Expertise in Python, object-oriented programming, and version control (e.g., git)

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

• 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 10 years of relevant job experience; Master’s degree (computer science, physics, mathematics, actuarial science, or equivalent) with 8 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

• Experience with medical coding

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Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

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