Lead Medical Affairs Statistician

Bayer AG; England; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

A global healthcare company in the UK is seeking a Lead Medical Affairs Statistician to provide statistical support for Medical Affairs and Market Access teams. This role involves leading cross-functional teams, consulting on life-cycle management strategies, and ensuring the timely delivery of statistical work. Ideal candidates should have a PhD or MS in Biostatistics, and solid experience in the Pharma sector. Competitive salary and benefits are offered in a hybrid work environment.

Benefits

Competitive compensation package

28 days annual leave plus bank holidays

Private Healthcare

Generous pension scheme

Life Insurance

Wellness programs

Support for professional growth

Flexible working options

Qualifications

• Good expertise in HEOR incl. network meta-analysis and real world evidence.
• Thorough knowledge of clinical drug development process.
• Experience leading teams and collaborating with cross-functional groups.

Responsibilities

• Lead Statistical input to Medical Affairs and Market Access teams.
• Provide statistical consultation for life-cycle management.
• Oversee and ensure accurate delivery of statistical work.

Skills

PhD or MS in Biostatistics, Statistics or Mathematics

Expertise in statistical methods for HEOR

Solid experience in Pharma or Biotech

Knowledge of clinical drug development process

Experience in leading teams

Excellent interpersonal skills

Knowledge of statistical programming languages (SAS/R)

Fluency in English

Education

PhD or MS in a quantitative area

Tools

SAS

R

Job description

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At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Lead Medical Affairs Statistician

Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision.

Being part of #TeamBayer means that you are part of our vision and of our future – delivering to our farmers, patients, and consumers.

(There are no direct reports for this role)

• Lead Statistical input to Medical Affairs and Market Access teams, provide input in life‑cycle management strategies, publication plans, HTA studies and analysis for payers and reimbursement requirements.
• Lead statistical cross‑functional teams to generate publications, presentations and posters in collaboration with Medical Affairs.
• Scientific appraisal of study protocols and study proposals.
• Provide statistical and methodological consultation and contributes to multi‑disciplinary teams within or across companies.
• Keep abreast of HTA regulations and methodological guidance as e.g. from NICE and IQWiG.
• Drive scientific strategies for Real World Evidence projects as network meta‑analyses, patient reported outcome and market access strategies.
• Oversee and ensures accurate and timely delivery of statistical work outsourced to external collaborators, esp. HEOR providers.
• Develop and implement innovative statistical methodology for payer and reimbursement needs, if appropriate in cooperation with academic experts.

Skills

• PhD or MS in Biostatistics, Statistics or Mathematics, or closely related quantitative area.
• Good expertise in statistical methods to support HEOR incl. network meta‑analysis, patient reported outcome, HTA dossiers, real world evidence and observational studies.
• Solid industry experience as statistician with significant time spent in the Pharma, Biotech, or similar sector.
• Thorough knowledge of the pharmaceutical industry including understanding of clinical drug development process and life‑cycle management and associated documents and regulations.
• Experience in leading teams.
• Excellent interpersonal, leadership and communication skills and ability to work independently and collaboratively.
• Good knowledge of statistical programming languages(including SAS and / or R)
• Fluency in English.

Your Application

“Be You” at Bayer where you have the opportunity to be part of our culture influencing Health for all and Hunger for none.

We value our employees and believe that rewarding your contributions is essential to our shared vision. Discover the exceptional benefits awaiting you as a valued member of #Teambayer

Compensation and Benefits

£70,000 – £85,000 pa depending on experience.

• Competitive compensation package consisting of an attractive base salary and annual company bonus.
• Individual bonus can also be granted for top Talent Impact.
• 28 days annual leave plus bank holidays.
• Private Healthcare, generous pension scheme and Life Insurance.
• Wellness programs and support.
• International career possibilities.
• Flexible and Hybrid working.
• Help with home office equipment.
• Support for professional growth in a wide range of learning and development opportunities.
• We welcome and embrace diversity providing an inclusive working environment.

#LI-UK

#Hybrid

Bayer welcomes applications from all individuals, regardless of age, disability, gender identity/expression, family status, pregnancy and maternity, race, religion or belief, sex, and sexual orientation. We are committed to treating all applicants fairly and without discrimination. We continue to progressively embrace and adopt actions to advance our Diversity Equity & Inclusion (DE&I) commitments and aspirations, #ForBetter.

Bayer is committed to providing access and support for all individuals with disabilities and / or long term conditions - during the application process and beyond. Let us know if there is anything about the recruitment process that you would like to discuss, in particular if there are any changes or adjustments that would make it easier for you to apply please contact [e-mail] .