Principal / Senior Principal TA Methodology Statistician (HTA and Market Access)
Boehringer IngelheimAbout the role
Description
Biostatistics and Data Sciences (BDS) is a global organization with more than 500 employees within the Human Pharma Business Unit. Working in close collaboration with other functions at Boehringer Ingelheim and external vendors we combine methodological and technical data science skills with business and scientific expertise to drive smart, timely and confident decision making at every stage of drug development, approval, and access.
On our journey to transform BDS into a modern data science organization our intent is to create a learning organization in which people develop and deploy leading-edge data science approaches and technologies to actively plan, generate and evaluate evidence that shapes informed decision-making along the value chain.
Join our function Therapeutic Area and Methodology (TAM) Statistics and become part of our global methodology group. Drive user-centric innovations to foster holistic evidence implementation and their accessibility to our business by providing consultancy and solutions to our clinical development teams.
Duties & Responsibilities
- In your new role, you will closely collaborate with other statisticians and provide statistical-methodological expertise on multiple of the following topics:
- integration of external data into clinical development and HTA reports, e.g. via usage of Bayesian borrowing and external control
- complex evidence synthesis including Bayesian network meta-analysis
- patient-focused drug development including clinical endpoint development and psychometric validation of instruments
- clinical trial design that enables RCT generalizability to real world populations and settings, for example, pragmatic trial and flexible augmented clinical trial for improved evidence generation (FACTIVE)
- target trial emulation, causal inference and real world evidence methodology
- You will evaluate advanced statistical methods to foster holistic evidence generation by prototyping and developing ready-to-use toolkits. you will drive their implementation.
- You will contribute to the large-scale implementation for such innovation toolkits.
- You will provide pragmatic solutions to our clinical development teams to foster holistic evidence generation that accompanies needs for different stakeholders including internal decision making, regulatory, market access and medical affairs.
- You will present and quantitively illustrate the application of complex statistical concepts to stakeholders like management, external partners, and/or regulatory agencies.
- Furthermore, you will provide statistical-methodological trainings to statisticians and non-statisticians.
- Additionally, you will mentor and guide other colleagues. You will define and supervise the technical and scientific work of interns and students and contribute to their professional journey.
Requirements
Principal Requirements:
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Master of Science (MSc) or Doctoral Degree (PhD) from an accredited institution, in Statistics or Mathematics or related field (Psychology, Data Science, Finance, etc.).
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At least five (5) years of experience as a statistician or data scientist in an area relevant for the specific role\
Senior Principal Requirements:
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Master of Science (MSc) or Doctoral Degree (PhD) from an accredited institution, in Statistics or Mathematics or related field (Psychology, Data Science, Finance, etc.).
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At least seven (7) years of experience as a statistician or data scientist in an area relevant for the specific role.
Additional Requirements:
- Advanced understanding of clinical development
- Demonstrated, hand-on experience in providing consultation to clinical development teams or planning and conducting experimental designs
- A proven track record in successfully developing, extending, implementing, and providing trainin
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