Associate Director, US Analytics; Heme-Oncology

Associate Director, US Analytics (Heme-Oncology)

Date posted:
Jan 13, 2026
City:
Boston
Lit/Region: US
Type of

Contract:

Full-time Employment / Unlimited
Job Requisition

Servier in the U.S. is a Boston-based, commercial‑stage biopharmaceutical company launched by Servier Group in объем 2018. As a privately held organization, Servier is uniquely positioned to advance cutting‑edge science, tackle represent an therapeutic areas and make patients the focus of every strategic decision.

The Associate Director, US Advanced Analytics Lead–Hematology/Oncology reports into the Director of US Enterprise Advanced Analytics and Data Science within the US CSDO department. The candidate will support the hematology franchises, play a critical role in developing analytics to enable data‑driven decision‑making within the Hematology endet, synthesize analysis output into persuasive commercial leadership presentations, and collaborate with commercial functions for effective decisions.

• 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 that identify and engage relevant customers through NPP channels.

• 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.

• 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.

• Refresh quarterly forecasting data inputs leveraged for short‑ and long‑range forecast updates.

• 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 with key pharmaceutical data sources and analytics platforms:
  • National‑level sales/demand data (e.g. IQVIA NPA & NSP)
  • Longitudinal HCP & patient‑level claims (IQVIA, Symphony, Komodo, Veeva Compass, Purple Labs, MMIT)
  • Tokenized RWE data sources (lab data, genomic data, EHR, and EMR data)
  • Specialty pharmacy, patient services, and market access data (MMIT, DRG/Fingertip Formulary Data, GPO dispensing data, Hub data,…