National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Director HTA Biostatistics (Medical Affairs)

Novartis Farmacéutica
London
3 months ago
Applications closed

Related Jobs

View all jobs

Director of Legal and Governance

Director of Legal and Governance; Maternity Cover

Director-Data Science and Analytics

Director Biostatistician

Director Biostatistician

Director Biostatistician

Director HTA Biostatistics (Medical Affairs)

Job ID REQ-10011226

United Kingdom

Summary

We are in search of a Director/Senior Director, Health Technology Assessment (HTA) Biostatistics, with statistical expertise in HTA and Pricing and Reimbursement activities. This role offers the chance to provide statistical solutions to HTA problems. The successful candidate will work closely with International Value & Access and HEOR teams to shape ways of working for Joint Clinical Assessment in Europe to ensure high-quality deliverables.

About the Role

Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people’s lives.

We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to.

This role offers hybrid working, requiring 3 days per week in our London office.

Key Accountabilities:

  • Accountable for strategic statistical input and influence into one or more projects (clinical development plan, integrated evidence generation strategy, publication strategy, market access strategy, pricing & reimbursement strategy)
  • Lead implementation of efficient and innovative statistical methodology in HTA (indirect treatment comparison methods such as (network)-meta-analysis, population-adjusted methods, etc.), reimbursement activities, clinical trials, and observational research to accelerate patient access considering requirements across the globe (Europe, Asia Pacific and other geographies).
  • Lead collaborations with Health Economics and Outcome Research, Market Access, and other strategic functions to drive quantitative decision making in assigned indications/program.
  • Plan, prioritize and oversee project level activities and ensure efficient resource management within or across franchise and effective partnership with vendors.
  • Support responses to payer requests and/or interactions. Actively contribute to internal and external scientific interactions with decision making agencies and healthcare professionals.
  • Responsible for all statistical work, scientific and operational, in collaboration with cross-functional and cross-regional partners.
  • Ensure quality, timely and consistency of statistical deliverables, organizational learning, and knowledge through consistent application of processes & best practices.
  • Support selection of external vendors and oversee them for outsourced activities
  • Keep up to date with industry trends, advancements in HTA, and innovative statistical methodology (particularly in methods applicable to observational research area of HTA) to maintain proficiency in applying new and varied methods and to be competent in justifying methods selected.
  • Communicate statistical findings and recommendations to non-statistical stakeholders in a clear and understandable manner.
  • Develop and mentor biostatisticians on statistical methodologies and processes.

Your experience:

  • PhD with 8+ years’ experience preferred or MS with 12+ years’ experience with a degree emphasis in Statistics, Mathematics or equivalent quantitative field
  • Advanced knowledge of applying statistics (especially indirect treatment comparison methods such as (network)-meta-analysis, population-adjusted methods, etc.) and innovative approaches in experimental design and causal inference method.
  • Expertise in HTA, reimbursement process and regulations, including key decision drivers and review processes for key international markets and strong understanding of regulatory authority processes, and drug development.
  • Ability to manage parallel multiple projects in different therapeutic areas.

Why Novartis:Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?

Commitment to Diversity & Inclusion:Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.