Senior Clinical Data Scientist - Focus on Programming

Key Skills

Agile methodologies, Data science techniques, Design, Finance, Management, Statistics, Teamwork

Job Description

• Accountable for transforming, analyzing and reporting phase I-IV clinical trials and supports complex phase I-IV clinical trials or projects with established BI experience.
• Accountable for transforming, analyzing and reporting of 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 and outside BI.
• Present compelling validated stories regarding data science aspects to BDS colleagues and colleagues within and outside of BI with basic knowledge in data science.
• 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, internal and external customer and external providers on data science related tasks.
• Participate in cross-functional human pharma internal working-groups or lead cross-functional BDS internal working-groups and drive/plan relevant data science aspects.
• If applicable supports the clinical drug development process as a BDS Product Owner on the level of projects/assets.
• Ensures cross-functional and team-based working within BDS and with neighboring units at BI. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking.

Requirements

• Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.) with a minimum of five (5) years of data science experience; Or
• Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.) with a minimum of three (3) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions.
• Working experience might be partially compensated by broad and deep topic-specific knowledge.
• Advanced experience in software languages relevant for business needs.
• Advanced experience in understanding of clinical trial development process required.
• Project lead experience required.
• Understanding and applying key of principles of data science.
• Understanding of advanced statistical concepts related to Data Science.
• Demonstrated advanced knowledge in planning, transforming, analyzing, interpreting, and reporting data in clinical trials, across clinical trials or data from other sources in clinical research and development.
• Sound knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information.
• Proficient in the use of relevant software languages
• Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively.
• Ability to lead and facilitate meetings.
• 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.
• Language skills: English: fluent (Read/Write/Speak).
• Know, understand, and implement:
• International regulations and guidelines for good clinical and statistical practice from all ICH regions,
• The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and
• BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan).