Senior Clinical Data Scientist, Statistical Programming

Boehringer Ingelheim

. Plan, conduct, and coordinate statistical programming activities for assigned clinical trials and projects .

Posted 10/22/2026full-timeIngelheim • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical programming and data science within clinical trials, utilizing SAS and R to deliver CDISC-compliant datasets and actionable insights. Strong organizational skills enable effective management of cross-functional collaborations and vendor oversight.

Highest-signal resume keywords

Statistical ProgrammingSASRCDISC StandardsData Science Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData TransformationClinical Trial DesignMedical TerminologyAI-Enabled SolutionsAutomationData VisualizationEvidence-Based Decision-MakingQuality ReviewProblem-Solving

Soft Skills

Organizational SkillsInterpersonal SkillsCollaborationAgile MindsetCommunication Skills

Certifications & Qualifications

Bachelor of Science (BSc)Master of Science (MSc)

Industry Keywords

Pharmaceutical DevelopmentCRO OversightVendor GovernanceStatistical MethodologyClinical Data Processing

About the role

Key responsibilities & impact

Plan, conduct, and coordinate statistical programming activities for assigned clinical trials and projects
Perform data transformation and statistical analyses
Deliver high-quality reports and outputs
Design, program, validate, and maintain CDISC-compliant datasets and associated deliverables
Support complete, consistent, and submission-ready data delivery
Coordinate and oversee CROs and external partner contributions
Ensure quality, progress, and risk mitigation
Collaborate with cross-functional stakeholders to translate scientific and business needs into data-driven solutions
Drive innovation through AI, automation, R, and advanced statistical methods
Generate actionable insights from clinical data through visualization
Contribute to evidence-based decision-making across the value chain
Coordinate dependencies, priorities, risks, and timelines across assigned studies and projects
Ensure transparent communication, effective collaboration, and reliable delivery

Requirements

What you’ll need

Bachelor of Science (BSc) or Master of Science (MSc) in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.)
Several years of data science experience in pharmaceutical development and statistical programming for clinical trials
Working experience might be partially compensated by broad and deep topic-specific knowledge
Working experience with SAS and R
Sound knowledge of CDISC standards, statistical methodology, clinical trial design, medical terminology, and clinical trial data processing
Practical understanding of AI-enabled solutions and automation, including responsible, compliant, and value-adding use in clinical data science
Strong organizational and coordination skills to manage multiple activities, interfaces, dependencies, priorities, and timelines in a global, cross-functional environment
Experience in vendor governance and CRO oversight, including expectation setting, performance monitoring, quality review, issue management, escalation, and pragmatic problem-solving
Strong English communication and interpersonal skills
Collaborative and agile mindset
Ability to explain complex data science concepts clearly
Experience with agile teams or as a product owner is an advantage

Benefits

Comp & perks

Comprehensive benefits and wellbeing package
Applications from persons with severe disabilities are warmly welcomed; in cases of equal qualifications, preferential consideration is given