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Senior Clinical Data Scientist
Boehringer Ingelheim. Translate complex business and scientific use cases into actionable data, technology, and AI requirements .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in translating complex business and scientific use cases into actionable data and AI requirements, while effectively managing cross-functional teams and aligning strategic objectives across Medicine, IT, and Data Science.
Highest-signal resume keywords
Master Of Science (MSc) Or Doctoral Degree (PhD)AI/Data Product Environments In PharmaData Platforms And AI WorkflowsProgram And Stakeholder ManagementSystem Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceComputer ScienceStatisticsAI WorkflowsSystem IntegrationData MappingTechnical Solutions TranslationComplex TransformationsStrategic InitiativesRoadmap Maintenance
Soft Skills
Interpersonal SkillsCommunication SkillsProblem-Solving MindsetPassion For InnovationCommitment To Quality
Industry Keywords
PharmaData ScienceAIStakeholder ManagementCross-Functional TeamsMatrix SettingComplianceData-Driven Decision-MakingGlobal PartnershipsExecution Alignment
About the role
Key responsibilities & impact- Translate complex business and scientific use cases into actionable data, technology, and AI requirements
- Connect medical, data science, and technical domains to enable collaboration and shared understanding
- Orchestrate alignment across Highscore initiatives by identifying, assessing, and leveraging existing capabilities
- Clarify ownership, define scope, and support prioritization decisions across Medicine, IT, and Data Science
- Maintain a transparent and executable roadmap
- Proactively manage dependencies, risks, and timelines against the end-to-end strategy
- Integrate solutions into the broader data and AI landscape
- Promote scalable, standardized, and reusable implementations
- Align cross-functional execution with strategic objectives and ensure sustainable outcomes
Requirements
What you’ll need- Master of Science (MSc) or Doctoral Degree (PhD) in Data Science, Computer Science, Statistics, or a related field, or comparable qualification
- Proven track record of leading cross-functional teams in a matrix setting, driving strategic initiatives and complex transformations
- Strong experience in AI/data product environments in pharma
- Ability to translate clinical and scientific needs into technical solutions
- Deep understanding of data platforms, AI workflows, and system integration
- Strong program and stakeholder management in complex environments
- Experience mapping existing data, technology, and AI capabilities to new initiative requirements, systems, and platforms management
- Excellent interpersonal and communication skills, with ability to engage diverse stakeholders globally and build partnerships across organizational boundaries
- Strong problem-solving mindset, passion for innovation and continuous learning, and commitment to quality, compliance, and data-driven decision-making
- Fluency in written and spoken English
- Application documents, including an application letter, must be submitted in English
Benefits
Comp & perks- Part-time eligibility at 70%
- Applications from persons with severe disabilities are warmly welcomed; in cases of equal qualifications, such applicants will be given preferential consideration
- Virtual meetings and on-site interview process
- Application support via HR Direct Team