Lead Statistician in England

Lead Statistician in England

England Full-Time 70000 - 85000 £ / year (est.) Home office (partial)
Bayer AG

At a Glance

  • Tasks: Lead statistical teams and drive innovative analysis for impactful projects.
  • Company: Join Bayer, a visionary company dedicated to global health and sustainability.
  • Benefits: Competitive salary, flexible working, wellness programs, and professional growth opportunities.
  • Why this job: Make a real difference in health and agriculture while collaborating with diverse minds.
  • Qualifications: PhD or MS in Statistics/Biostatistics with experience in Pharma or Biotech.
  • Other info: Embrace a culture of diversity and inclusion with excellent career advancement.

The predicted salary is between 70000 - 85000 £ per year.

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.

Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership) 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.

A Lead Statistician builds and leads teams of statisticians and representatives from other functions and ensures the use of appropriate and efficient statistical analysis methods during development, submission and/or life-cycle management of Bayer products according to applicable global and regional standards, procedures and regulatory guidelines and represents projects to line management and governance boards.

Tasks and Responsibilities

  • Takes the statistical lead for a project in the represented Statistics Sub-Cluster, for example, in the role of a Project Statistician.
  • Leads virtual teams of statisticians and/or representatives from other functions.
  • Contributes to the development and evolution of project standards.
  • Provides statistical and methodological consultation and contributes to multi-disciplinary teams within or across companies.
  • Responds to inquiries from health authorities and other internal or external partners.
  • Keeps abreast of regulatory and methodological issues and ensures implementation of these in the respective teams.
  • Influences decision making processes during drug development and/or life-cycle management by use of appropriate statistical methodology (e.g. simulations, meta-analyses or modeling approaches).
  • Develops and implements innovative statistical methodology for the respective field of responsibility, if appropriate in cooperation with academic experts.

Qualifications and Skills

  • PhD or MS in Biostatistics, Statistics or Mathematics.
  • Solid 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/or life-cycle management and associated documents and regulations.
  • Experience in leading teams.
  • Embrace and role model the VACC (Visionary/Architect/Catalyst/Coach) behaviours in leadership, as well as mentoring/coaching capabilities across diverse cultural environments.
  • Experience in multiple fields relevant for his/her statistics sub-function.
  • 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

  • Salary you can expect: Min £70,000 – max £85,000 pa depending on experience. Salary reviews take place annually in April.
  • Competitive compensation package consisting of an attractive base salary and annual company bonus.
  • Individual bonus can also be granted for top Talent Impact.
  • Mobility Allowance / Company Car Benefit.
  • 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.

The best possible work-life balance is of great importance to us, which is why we support flexible hybrid working model. 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.

Lead Statistician in England employer: Bayer AG

Bayer is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to make a meaningful impact on global health and sustainability. With competitive compensation, comprehensive benefits, and a commitment to professional growth, Bayer offers a dynamic work environment where diverse perspectives are valued and flexible working arrangements support a healthy work-life balance. Join #TeamBayer to be part of a visionary community dedicated to solving the world's toughest challenges.
Bayer AG

Contact Detail:

Bayer AG Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Statistician in England

✨Tip Number 1

Network like a pro! Reach out to current or former Bayer employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role at the company. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by understanding Bayer's mission and values. They’re all about innovation and collaboration, so think of examples from your past that showcase your teamwork and problem-solving skills. Show them you’re a perfect fit for #TeamBayer!

✨Tip Number 3

Practice your statistical knowledge and be ready to discuss specific methodologies you’ve used in previous roles. Bayer is looking for someone who can lead teams and influence decision-making, so be prepared to demonstrate your expertise.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of Bayer’s vision for a better world.

We think you need these skills to ace Lead Statistician in England

Statistical Analysis
Leadership Skills
Team Management
Biostatistics
Pharmaceutical Industry Knowledge
Clinical Drug Development Understanding
Statistical Programming (SAS, R)
Interpersonal Skills
Communication Skills
Methodological Consultation
Regulatory Knowledge
Innovative Statistical Methodology Development
Mentoring and Coaching
Collaboration Skills
Adaptability in Diverse Cultural Environments

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see how your passion for statistics and making a difference aligns with Bayer's vision of 'Health for all, Hunger for none'.

Tailor Your CV: Make sure to customise your CV to highlight relevant experience in the pharmaceutical or biotech sectors. We’re looking for solid examples of your statistical expertise and leadership skills that match the job description.

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and experiences, so we can easily see how you fit into our dynamic team at Bayer.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with Bayer.

How to prepare for a job interview at Bayer AG

✨Know Your Stats

Brush up on your statistical methods and be ready to discuss how you've applied them in real-world scenarios. Bayer values innovative statistical methodologies, so think of examples where you've influenced decision-making through your expertise.

✨Show Leadership Skills

As a Lead Statistician, you'll be expected to lead teams. Prepare to share experiences where you've successfully led projects or mentored others. Highlight your ability to work collaboratively across diverse teams, as this is crucial for Bayer's dynamic environment.

✨Understand the Pharma Landscape

Familiarise yourself with the clinical drug development process and relevant regulations. Be prepared to discuss how your experience aligns with Bayer's mission and how you can contribute to their vision of 'Health for all, Hunger for none'.

✨Embrace Bayer's Values

Research Bayer's culture and values, especially the VACC behaviours (Visionary/Architect/Catalyst/Coach). Think about how you embody these traits and be ready to demonstrate them during your interview. This will show that you're not just a fit for the role, but also for the company.

Lead Statistician in England
Bayer AG
Location: England

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