Value & Implementation (v&i) Medical Data Analytics Center Data Enablement Associate Director

Merck Merck · Pharma · United States · Remote

This role focuses on data enablement within the Medical Data Analytics Center, assisting the V&I organization in making data-driven strategic decisions. It involves identifying data sources, developing analytic solutions, creating data visualizations, and managing external vendors. The role requires a blend of business acumen and technical competence, with responsibilities including developing and maintaining databases, data pipelines, and scalable analytic products. Experience with advanced analytics, statistical modeling, NLP, AI, Machine Learning, Python, SQL, and cloud platforms like AWS is required, along with a strong understanding of healthcare data (EMR/EHR).

What you'd actually do

  1. Partners with internal stakeholders to understand the needs of V&I.
  2. Identifies appropriate data sources to address the needs of V&I.
  3. Ensures high quality, rigorous and readily interpretable deliverables.
  4. Develops data visualizations and presentation decks to communicate findings.
  5. Provides recommended actions with stakeholders from senior and executive leadership teams.

Skills

Required

  • Python
  • object-oriented programming
  • version control (e.g., git)
  • SQL
  • SQL relational databases
  • AWS
  • EMR
  • EHR
  • Advanced Analytics
  • Statistical Modeling
  • NLP
  • AI
  • Machine Learning
  • computer science
  • physics
  • mathematics
  • actuarial science

Nice to have

  • Global Medical Affairs
  • CMS quality data
  • payer analytics
  • Market Access analytics
  • Tableau
  • Spotfire
  • Qlik
  • AWS Redshift
  • medical coding

What the JD emphasized

  • Demonstrated experience in Advanced Analytics, Statistical Modeling, NLP, AI, Machine Learning
  • Expertise in Python, object-oriented programming, and version control (e.g., git)
  • Experience analyzing real-world data assets including EMR and EHR
  • Strong business acumen in the pharmaceutical industry

Other signals

  • 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.