Senior Specialist, Oncology Portfolio Analytics

Job Description

Senior Specialist, Oncology portfolio analytics, Global Commercial Pipeline Analytics, HHDDA

Our Human Health Digital Data and Analytics (HHDDA) 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 portfolio analytics, Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Oncology Global Marketing team to inform current and future pipeline oncology asset and portfolio 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 HHDDA organization.

Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead development of analytics capabilities for the precision medicine and companion diagnostic priorities enabling the oncology new asset pipeline.

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

Primary Responsibilities:

• Portfolio analytics: Develop and synthesize commercial data and insights for cross-portfolio priorities. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support decision making for Global Oncology portfolio (e.g. market and competitor landscape assessment tools, benchmark libraries).
• Analytics Delivery: Hands on analytics project delivery with expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Ability to leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation.
• Benchmarking Analytics: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices.
• Stakeholder Collaboration: Partner with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development.
• Communication and Transparency: Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions.

Required Experience and Skills:

• Bachelor's degree, preferably in a scientific, engineering, or business-related field.
• Overall experience of 8+ years, with 4+ years of relevant experience in insights & analytics, advanced analytics, market research, strategic planning, marketing, or related roles within the pharmaceutical or biotechnology industry
• Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems.
• Experience conducting secondary data analytics on large datasets using relevant skills e.g., excel VBA, Python, SQL
• Deep understanding and hands on expertise in commercial Oncology data ecosystem e.g., Epidemiology datasets, biomarker data, commercialization and real-world datasets
• Experience in envisioning, architecting and developing data driven tools/dashboards using visualization tools (e.g. PowerBI)
• Strategic thinker who can be consultative, collaborative and “engage as equals.”
• Strong communication skills using effective storytelling grounded on data insights.
• Expertise in building patient analytics and patient journey from commercial and real-world datasets (like IPSOS, Kantar, EPIC, e-LAAD, Symphony, Optum etc.)
• Relationship-building and influencing skills with an ability to collaborate cross-functionally.
• Ability to connect dots across sources, attention to detail

Preferred Experience and Skills:

•    Experience in diverse healthcare datasets, insights, and analytics

• Experience in Life Science or consulting industry
• Therapeutic area experience in Oncology preferred
• Advanced degree (e.g., MBA, PharmD, PhD) preferred.
• Global experience preferred
• Team leadership experience

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.  

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

Current Employees apply HERE

Current Contingent Workers apply HERE

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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):

Required Skills:

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

Preferred Skills:

Job Posting End Date:

05/3/2025

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