Associate Director HTA Biostatistics
Associate Director HTA Biostatistics
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Job Description
Job Description Summary
We are in search of a Associate Director 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.Job Description
Our Development Team is guided by our purpose: to reimagine medicine to improve and extend peoples lives.
To do this we are optimizing and strengthening our processes and ways of working.
We are investing in new technologies and building specific therapeutic area and platform depth and capabilities all to bring our medicines to patients even faster.
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.
Apply today and welcome to where we thrive together!
We are in search of a Associate Director 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.
This role offers hybrid working requiring 3 days per week in our London office.
Key Accountabilities:
- 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.
- 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.
Your experience:
- PhD with 4 years experience preferred or MS with 8 years experience with a degree emphasis in 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.
- 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 : to Diversity & Inclusion:
Novartis is committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve.
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Automation Biostatistics Clinical Trials Computer Programming Cross-Functional Teams Data Analytics Decision Making Skills Metadata Management Statistical AnalysisRequired Experience:
Director
Employment Type
Full-Time
