HTA Evidence Synthesis Statistician / HTA Evidence Synthesis Statisticianess

Novartis Pharma AG - December 7, 2025

Job ID

REQ-10047718

Sep 15, 2025

Switzerland

Summary

At Novartis, we are dedicated to nurturing a diverse pool of versatile, commercially focused, and inspiring talent. In our pursuit of proactive thought leadership, we emphasize sharing our enterprise strategies while addressing the distinct needs of each country as a value-added, solution-oriented partner. Join the International HEOR & PCO Team, a critical partner in International Value & Access, as we excel in evidence generation to showcase the value of our innovative medicine portfolio.

An exciting opportunity has arisen for an experienced Senior HTA Statistician. In this role, you will apply innovative statistical methodologies to tackle complex challenges in health technology assessment (HTA). You will lead the evidence synthesis of patient data from clinical, observational, and real-world data studies that support HTA submissions, all within a flexible and collaborative environment.

This position entails leading the design and execution of evidence synthesis for HTA submissions, including the EU HTA JCA Dossier and health economic models. You will apply your methodological and analytical expertise to predict the value of Novartis assets and develop strategies to effectively demonstrate this to external decision-makers.

About the Role

Key Responsibilities:

  • Develop core global Indirect Treatment Comparison (ITC) plans for HTA, payer, and other Access stakeholder assessments, submissions, and negotiations, leading related publications to meet business objectives.
  • Provide strategic, methodological, and analytical support to regions and key countries, adapting the Indirect Treatment Comparison (ITC) for local HTA submissions and supporting local HTA strategies. Coordinate data requirements across various evidence generation functions (Clinical Development, Medical Affairs/Biostatistics, and HEOR & PCO) to support pricing and reimbursement efforts.
  • Set up internal systems to proactively capture key HTA analytic requirements across international markets to inform and optimize key deliverables, such as statistical analysis plans. Track key HTA statistical priorities and sequence them according to resource availability and risk factors.
  • Identify the need for preliminary ITCs to inform value propositions, development, pricing, and commercial strategies.
  • Lead and facilitate the sharing of best practices and insights across regions, countries, and cross-functional partners.
  • Stay abreast of innovative techniques, utilizing robust analytical methods leveraging available clinical data and published information to guide pricing and market access strategies.
  • Collaborate with the MA Biostats team for trial analyses, HTA challenges, and statistical investigations.
  • Act as a Strategic Partner for key stakeholders from HEOR & PCO and International Value & Access (Therapeutic Area Access, Pricing) to ensure alignment with brand, commercial access, and evidence strategies. Ensure optimal utilization of comparative evidence through partnerships with teams generating payer and promotional materials, regulatory dossiers, and publications.
  • Provide mentoring and coaching to junior members of evidence modeling teams and across functions.

Essential Requirements:

The ideal candidate will possess a robust background in statistics, with relevant experience in HTA and clinical research.

  • MSc/PhD in Statistics, Biostatistics, or a related field. Experience in the pharmaceutical industry or life-science consultancy is preferred.
  • 6-8 years of relevant experience in consultancy or the pharmaceutical industry in Evidence Synthesis, Health Economics, Health Technology Assessment, or a related field.
  • Strong understanding of clinical drug development and HTA-related regulations and processes.
  • Local HTA experience, including involvement in country HTA submissions.
  • Proficient understanding of statistical methodologies for indirect treatment comparisons (ITCs) and population-adjusted indirect comparisons (PAIC).
  • Proficiency in statistical software such as R and/or SAS.
  • Strong interpersonal and scientific communication skills; excellent problem-solving abilities and attention to detail.
  • Ability to lead in a matrix environment and work collaboratively in interdisciplinary, cross-functional teams.

Location:

This role can be based in London, UK, Basel, Switzerland, or Dublin, Ireland.

Benefits:

Discover all the ways we will help you thrive personally and professionally in our Novartis Life Handbook.

Commitment to Diversity & Inclusion:

Novartis is committed to building an outstanding, inclusive work environment with diverse teams that reflect the patients and communities we serve.

Accessibility and Accommodation:

We are dedicated to working with and providing reasonable accommodations to all individuals. If, due to a medical condition or disability, you require accommodations during the recruitment process, please contact us at inclusion.switzerland@novartis.com and include your request and contact information. Please reference the job requisition number in your message.

Why Novartis:

Helping people affected by diseases and their families requires more than innovative science; it demands a community of smart, passionate individuals like you. Together, we can support and inspire each other while achieving breakthroughs that change patients' lives. Ready to create a brighter future together? Learn more about our vision and culture.

Apply Now!

Apply online using the form below. Please note that only applications matching the job profile will be considered.

Division

International

Business Unit

Marketing

Location

Switzerland

Site

Basel (City)

Company / Legal Entity

C028 (FCRS = CH028) Novartis Pharma AG

Alternative Location

  • Dublin (NOCC), Ireland
  • London (The Westworks), United Kingdom

Functional Area

Market Access

Job Type

Full time

Employment Type

Regular

Shift Work

No

Location : BASEL
Country : Switzerland

Application Form

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