[Remote] AD, Principal / Sr AD, Senior Principal Clinical Data Scientist

Note: The job is a remote job and is open to candidates in USA. Boehringer Ingelheim is hiring a Principal or Senior Principal Clinical Data Scientist to support clinical drug research and development through strategic planning and execution of data science work. The role leads analysis and reporting of clinical trial, registry, and real-world data, develops insights and innovative approaches, and represents data science at the substance or asset level.

Responsibilities

• Lead and oversee designing, transforming, analyzing and reporting complex phase I-IV clinical trials or projects with established BI experience and supporting complex international R&D projects
• Lead and oversee for designing, 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 within and outside BI. Turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs
• Present compelling validated stories regarding complex data science aspects to BDS colleagues and other professionals within and outside of BI
• Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements
• Guide and/or lead other colleagues, internal and external customer and external providers on data science related tasks
• Participate in cross-functional BI internal working-groups or lead cross-functional human pharma internal working-groups and drive/plan relevant data science aspects. Participate in external working groups
• If applicable, supports the clinical drug development process as a BDS Product Owner up to the level of substance/assets
• Ensures cross-functional and team-based working within BDS and with other units at BI. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking
• Support fostering innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models

Skills

• Bachelor of Science (BSc) in Statistics, Mathematics, Computer Science, or related field (Psychology, Data Science, Finance, etc.) with a minimum of seven (7) years of data science experience; OR
• Master of Science (MSc) in Statistics, Mathematics, Computer Science, or related field with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities, or academic institutions; OR
• Doctoral Degree (PhD) in Statistics, Mathematics, Computer Science, or related field with three (3) years of experience within the pharmaceutical industry, CROs, regulatory authorities, or academic institutions
• Bachelor of Science (BSc) in Statistics, Mathematics, Computer Science, or related field with a minimum of ten (10) years of data science experience; OR
• Master of Science (MSc) in Statistics, Mathematics, Computer Science, or related field with ten (10) years of experience within the pharmaceutical industry, CROs, regulatory authorities, or academic institutions; OR
• Doctoral Degree (PhD) in Statistics, Mathematics, Computer Science, or related field with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities, or academic institutions
• Working experience may be partially compensated by broad and deep topic-specific knowledge
• Comprehensive knowledge and advanced experience in relevant software languages and the clinical trial development process
• Broad knowledge and advanced project lead experience
• Experience with agile project methods and application of key data science principles
• Comprehensive knowledge of planning, transforming, analyzing, interpreting, and reporting data in complex situations
• Excellent knowledge of statistical methodology, clinical trial or experiment design, basic medical terminology, and processing clinical trial information
• Advanced understanding of statistical concepts related to Data Science
• Ability to lead meetings and develop and deliver data science training
• Strong teamwork and interpersonal skills in global and remote environments, including effective interaction with internal and external stakeholders
• Ability to proactively identify issues and solutions
• English: Fluent (Read/Write/Speak)
• Knowledge and application of international regulations and guidelines for good clinical and statistical practice, international clinical development guidelines and statistical methodology, and BI processes and SOPs governing clinical development

Benefits

• May be eligible for a role-specific discretionary bonus.
• May be eligible for relocation assistance.
• Medical, dental, and vision coverage.
• Retirement savings opportunities.
• Paid time off.
• Paid holidays.
• Disability and life insurance benefits.
• Other company-sponsored benefits.

Company Overview

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