Merck
Associate Director, Data Science
Merck, Denver, Colorado, United States, 80285
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. 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. Experience in building effective cross-functional partnerships and working across global teams. Ability to influence peers and leaders. 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 medical coding.
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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. 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. Experience in building effective cross-functional partnerships and working across global teams. Ability to influence peers and leaders. 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 medical coding.
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