Sr Spclst , Data Science

Job Description

Senior Specialist, Oncology Marketing Engagement Analytics, DHH

Our Digital Human Health (DHH) team is innovating how we understand our patients and their needs.

Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact.

The Senior Specialist, Oncology Marketing Engagement Analytics, DHH will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from theGlobal Oncology Marketing team to inform current and future pipeline biomarker strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the DHH organization.

Reporting to Associate Director, Oncology Marketing Engagement Analytics, within DHH, this role will lead development of analytics capabilities for the innovative oncology new products and companion diagnostic priorities enabling the oncology new asset pipeline.

The successful candidate will ’connect the dots’ across DHH capability functions like market research, forecasting, payer insights analytics, data science, data strategy solutions.

Primary Responsibilities:

Portfolio Analytics: Develop and synthesize cross-portfolio insights to support oncology pipeline and biomarker strategy decisions; contribute to building scalable analytics capabilities aligned to marketing and launch frameworks.

Analytics Delivery: Execute hands-on analytics using Python, SQL, Excel, and Power BI; leverage advanced analytics and automation (including GenAI where appropriate) to accelerate insight generation and enhance storytelling; apply patient-flow and simulation-based modeling techniques.

Benchmarking Analytics: Conduct benchmarking analyses to generate actionable insights and translate findings intoclear business recommendations that inform strategic decisions.

Stakeholder Engagement Communication: Deliver clear, synthesized insights andtranslate analytics into actionable recommendations for global marketing and cross-functional teams; collaborate to align on key business questions and decisions.

Team Contribution Culture: Foster a One Team mindset by collaborating across functions, sharing knowledge, and co-owning outcomes; support team development through coaching and feedback, and take ownership of high-quality deliverables.

Required Experience and Skills:

Master’s degree in a scientific, engineering, data science, or business discipline

5 years of experience, including 4 years in oncology-focused roles within pharma/biotech

Strong oncology expertise, including emerging modalities inwomen’s cancers (e.g., ADCs), with understanding of companion diagnostics

Experience partnering with Global Marketing to support brand strategy, commercialization, and launch execution

Experience applyingGenAI and advanced analytics to enhance insight synthesis, workflow efficiency, and decision support

Hands-on experience in analytics (GenAI tools, Python, SQL, Excel, Power BI) working with large, complex datasets

Expertise inoncology real-world data (claims, EHR, epidemiology, sales, literature, forecast, competitive intelligence, market research) with strong command of data source caveats, methodologies and business rules (LoT, Cohorting, treatment flow) for actionable insight generation.

Strategic, consultative problem-solving with strong stakeholder management skills, translating business needs into structured, hypothesis-driven analytics

Ability to collaborate across functions, navigate ambiguity, and drive alignment towardactionable business outcomes

Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Current Employees applyHERE

Current Contingent Workers applyHERE

Search Firm Representatives Please Read Carefully

Merck Co., Inc., Rahway, NJ, USA, also known as Merck Sharp Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

07/31/2026*A job posting is effective until 11:59:59PM on the dayBEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFORE the job posting end date.

Requisition ID: R401663