Note: The job is a remote job and is open to candidates in USA. Boehringer Ingelheim is a pharmaceutical company focused on the discovery, development, and delivery of products to patients and customers. The Statistical Clinical Programmer supports clinical drug research and development through strategic planning, data transformation, analytics, reporting, and data science activities across clinical projects, trials, registries, and real-world databases.
Responsibilities
- Accountable/responsible for transforming, analyzing and reporting phase I-IV clinical trials and/or other data from research and development like registries and real-world data bases with respect to a specific use case or project/asset
- Keep abreast of data science and in particular new transformation and analyzing solutions and innovative processes/tools within Boehringer Ingelheim
- Present compelling validated stories regarding data science aspects to DP&V colleagues
- Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements
- Support other colleagues on data science related tasks
- Participate in cross-functional DP&V internal working-groups and drive/plan relevant data science aspects
- Ensures cross-functional and team-based working within DP&V. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking
Skills
- Bachelors degree from an accredited institution, with a minimum of three (3) years of data science experience; OR Masters Degree (MSC) from an accredited institution in related discipline
- Bachelors degree from an accredited institution, with a minimum of five (5) years of data science experience; OR Masters Degree (MSC) with a minimum of three (3) years of data science experience, within the pharmaceutical industry, CRO's, regulatory authorities or academic institutions
- Working experience might be partially compensated by broad and deep topic-specific knowledge
- Experience in understanding of clinical trial development process required
- Knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology, processing clinical trial information and Clinical Data Interchange Standards Consortium (CDISC)
- Understanding and applying key of principles of data science
- Demonstrated knowledge in planning, transforming, analyzing, interpreting, and reporting data in clinical trials or data from other sources in clinical research and development
- Language skills: English: fluent (Read/Write/Speak)
- Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively
- Evidence of strong teamwork, also in global and remote context
- Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management)
- Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues
- Experience in software languages (R is strongly preferred) relevant for business needs
Company Overview
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