Associate Director, Analytics; Heme-Oncology
Listed on 2026-01-16
-
IT/Tech
Data Science Manager, Data Analyst
Associate Director, Analytics (Heme-Oncology)
Join to apply for the Associate Director, Analytics (Heme-Oncology) role at Servier Pharmaceuticals
Servier in the U.S. is a Boston-based, commercial‑stage biopharmaceutical company launched by Servier Group in 2018. As a privately held organization, Servier is uniquely positioned to advance cutting‑edge science, tackle underserved therapeutic areas and make patients the focus of every strategic decision.
Role SummaryThe Associate Director, US Advanced Analytics Lead– Hematology/Oncology reports into Director of US Enterprise Advanced Analytics and Data Science within the US CSDO department that oversees corporate and pipeline strategy, business development, business insights, forecasting and shared business and sales operations among other responsibilities. Supporting the hematology franchises, the Associate Director, [Heme/Onc] US Advanced Analytics lead will play a critical role in developing analytics to enable data driven decision making within the Hematology Oncology BU (supporting Tibsovo AML/ MDS, Oncaspar, and Asparlas) and through ownership of Hematology analytical capabilities, synthesizing analysis output into persuasive commercial leadership presentations, and acting in partnership with commercial functions for effective decisions.
PrimaryResponsibilities
Marketing:
- Serve as a strategic thought partner to the Hematology Marketing team by leveraging data, metrics, KPIs, models, and analytics to identify opportunities and challenges that support the growth of the Hematology portfolio.
- Lead the semi‑annual Hematology marketing mix process by gathering data, facilitating stakeholder and leadership discussions, and reviewing model inputs and outputs for statistical accuracy and brand relevance.
- Collaborate with Marketing to develop indication‑specific target lists to identify and engage relevant customers through NPP channels.
Leadership:
- Develop root‑cause analyses, data insights, and metrics to address ad hoc leadership questions, providing clear recommendations and solutions to emerging market or brand challenges.
- Recommend strategic analytical approaches that enable integrated, data‑driven decision‑making across the organization.
HEOR:
- Collaborate with Hematology HEOR and Medical teams to align on patient‑identification criteria using claims, laboratory, and/or EHR data.
- Develop, standardize, and document analytics business rules to generate key brand and market insights, including Market Share, DOT, LOT, and SOB.
- Lead cross‑functional targeting initiatives by coordinating meetings, preparing supporting materials, and recommending relevant data sources (Specialty Pharmacy, Claims, Sales CRM inputs, and PMR segments) to identify customer target segments for field execution and NPP marketing that align with brand strategic imperatives.
- Partner with Sales Operations to define and deliver key targeting metrics in Veeva CRM, summarize QoQ targeting changes, and recommend opportunities for ongoing process improvement.
Forecasting:
- Refresh quarterly forecasting data inputs leveraged for short and long range forecast updates.
Advanced Analytics:
- Serve as a collaborative team partner, working closely with Advanced Analytics colleagues on projects that enhance enterprise data capabilities in AI and ML.
- BS/BA degree in quantitative disciplines such as mathematics, statistics epidemiology, health economics, engineering, business analytics, computer science, or related field and 7+ years of hands‑on experience developing analytical techniques to address business questions; relevant advanced degree preferred
- Advanced technical skills in SQL, R, or Python required and ability to design, develop, and execute analyses to answer complex business questions and monitor brand performance and market dynamics
- Ability to engage with commercial and medical leadership stakeholders to translate business problems into analytics solutions and create and deliver analytical presentations
- Experience in applying AI/ Machine learning/ data science methodologies to address complex quantitative questions and derive actionable insights
- Experience…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).