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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in predictive pharmaceutical sciences, combining mechanistic modelling, AI, and laboratory automation to drive innovation and decision-making. Proven ability to lead multidisciplinary teams, influence stakeholders, and establish effective predictive methods in a regulated environment.
Highest-signal resume keywords
PhD In Computational SciencePredictive ModellingScientific Machine LearningPeople Leadership ExperienceWorkflow Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Mechanistic ModellingStatistical LearningMolecular SimulationFormulation ModellingProcess ModellingAutonomous ExperimentationData FoundationsAI-Enabled MethodsPredictive CapabilitiesUncertainty Assessment
Soft Skills
Excellent Communication SkillsCollaborative ApproachProactive MindsetStakeholder InfluenceChange Leadership
Tools & Technologies
Laboratory AutomationIn Silico WorkflowsDigital SolutionsExperimental Data ManagementScientific Networks
Certifications & Qualifications
Approved Medical ExaminationSecurity Clearance
Industry Keywords
Pharmaceutical DevelopmentLife SciencesRegulated EnvironmentCollaboration With External PartnersInnovation In Patient Impact
About the role
Key responsibilities & impact- Define and execute the strategy for predictive pharmaceutical sciences
- Lead a specialist unit covering predictive modelling, data foundations and laboratory automation
- Build and lead a state-of-the-art predictive pharmaceutical sciences capability combining mechanistic modelling, AI, high-quality experimental data and automation
- Coach and lead a multidisciplinary team of data engineers and scientists in Finland
- Combine first-principles and mechanistic modelling, statistical learning and modern AI methods according to the scientific question and available evidence
- Establish prospective validation, uncertainty assessment and applicability criteria for predictive methods
- Ensure existing predictive methods are evaluated and used effectively before laboratory experiments and development projects begin
- Strengthen data collection, structure, quality and accessibility for modelling, learning and decision-making
- Shape automation priorities and investments across in silico and laboratory workflows
- Build cross-functional relationships and influence senior stakeholders across Pharmaceutical Sciences and Orion Pharma R&D
- Lead collaborations with start-ups, universities, research institutes and other external partners
- Represent Pharmaceutical Sciences internally and Orion Pharma R&D externally through collaborations, scientific networks and conferences
- Report to the Vice President, Pharmaceutical Sciences, R&D
Requirements
What you’ll need- A PhD or equivalent track record in computational science, material sciences, engineering or another relevant quantitative discipline
- Experience in pharmaceutical development is valuable; advanced predictive capabilities in adjacent scientific fields may also be translated into pharmaceutical applications
- Deep expertise in at least one relevant area, such as molecular or materials simulation, solid-state prediction, formulation modelling, biopharmaceutics, scientific machine learning, process modelling or autonomous experimentation
- Ability to connect methods across disciplines
- Strong understanding of digital solutions, AI-enabled methods and data foundations for responsible pharmaceutical development
- Understanding of workflow automation across in silico and laboratory environments
- Demonstrated people leadership experience
- Experience influencing stakeholders and leading work across scientific, technical and organisational boundaries
- Ability to translate complex scientific and technical concepts into clear priorities, decisions and business value
- Excellent written and verbal communication skills in an international working environment
- Collaborative, proactive approach and commitment to scientific delivery, innovation and patient impact
- Experience leading change initiatives and engaging teams in new technologies, capabilities and ways of working
- Experience working in pharmaceutical development, life sciences or another scientifically complex and regulated environment is desirable
- Track record of building successful collaborations with external scientific or technology partners is desirable
- Approved medical examination including drug testing required prior to employment
- Security clearance required prior to employment
Benefits
Comp & perks- Relocation support is available
- Career paths and development opportunities
- Safe working environment
- Approved medical examination and drug testing prior to employment
- Security clearance prior to employment