FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading technology and data strategies within research-intensive environments, focusing on scientific workflows, data products, and digital capabilities. Proven ability to influence stakeholders and drive enterprise-scale changes while ensuring alignment with scientific priorities and measurable outcomes.
Highest-signal resume keywords
Doctorate Degree Or Master's Degree Or Bachelor's Degree6 Years Managerial ExperienceExperience Leading Technology In Life SciencesExperience Setting Multi-Year StrategyExecutive Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technology Strategy DevelopmentData Product CreationScientific Workflow IntegrationCloud Platform ArchitectureData EngineeringAnalyticsLaboratory Systems ManagementFAIR Data PracticesMetadata ManagementTranslational Science Understanding
Soft Skills
Influencing Senior ExecutivesExecutive StorytellingBuilding Trust With ScientistsCross-Functional CollaborationDecision-Making
Tools & Technologies
Electronic Lab NotebooksLaboratory Information Management Systems (LIMS)Data PlatformsScientific SoftwareDigital Products
Industry Keywords
BiotechnologyPharmaceutical ResearchDrug DiscoveryLife SciencesResearch Informatics
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Serve as the senior digital technology leader for Research
- Translate Research strategy and portfolio priorities into a coherent technology, data and AI agenda
- Accelerate scientific discovery, improve scientific data quality and reuse, and create durable advantage in medicine discovery
- Serve on the Research Leadership Team as a strategic advisor and decision-maker
- Shape technology investment priorities from disease understanding and target selection through molecule design, synthesis, and translational safety
- Own the Research technology environment, including benchtop environment, electronic lab notebooks, scientific workflows, data products and platforms
- Set and evolve the multi-year Research Technology, Data & AI strategy
- Link capability investments to the Research portfolio, scientific priorities and measurable outcomes
- Own portfolio prioritization and investment recommendations
- Establish OKRs and value measures; redirect investment, retire low-value solutions and scale effective solutions
- Own benchtop and instrument-adjacent technology, electronic lab notebooks, LIMS and integrated scientific workflows
- Deliver reliable, scalable products that improve scientific workflows and demonstrate measurable value
- Modernize and integrate scientific data workflows from source capture through analysis, reuse and decision-making
- Build governed, reusable data products connecting experiments, observations, models and knowledge across Research
- Advance digital capabilities across disease understanding, target selection, small molecule discovery, large molecule discovery, DNA-encoded libraries and antibody-drug conjugates
- Ensure platforms and workflows are designed around scientist needs and continuously improve user experience
- Lead and develop an organization spanning research informatics, laboratory and benchtop technology, digital products and scientific data enablement
- Build partnerships with Research leaders, Technology and AI & Data organizations, and external collaborators
- Manage platform rationalization, build-versus-buy decisions and technical debt
- Set standards for product and delivery excellence, architecture, vendor management, operations, adoption, lifecycle management and realized value
- Communicate strategy, investment decisions, performance, risks and opportunities to executive audiences
Requirements
What you’ll need- Doctorate degree & 6 years of technology experience OR Master’s degree & 10 years of technology experience OR Bachelor’s degree & 12 years of technology experience
- 6 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources
- 5+ years of progressive leadership experience preferred, including direct leadership of senior leaders and/or responsibility for a substantial, multi-disciplinary organization
- Experience leading technology, data, digital, informatics or computational capabilities in a research-intensive, life sciences environment
- Scientific credibility and ability to earn scientists’ trust
- Understanding of drug discovery research lifecycle across relevant disciplines such as small molecules, biologics, DELs, ADCs, disease biology, or translational science
- Experience setting multi-year strategy and leading enterprise-scale changes across laboratory technology, scientific software, data platforms, scientific workflows, or research informatics
- Experience creating and scaling scientific data products, FAIR data practices, metadata and terminology capabilities, and integrated data-to-insight workflows
- Technology and data judgment across cloud platforms, architecture, laboratory systems, data engineering, analytics, and vendor ecosystems
- Ability to influence senior executives, resolve consequential cross-functional trade-offs, and create alignment without relying solely on formal authority
- Executive communication and storytelling skills
- Experience in biotechnology, pharmaceutical research or another highly regulated, technology-intensive environment strongly preferred
Benefits
Comp & perks- Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
- Group medical, dental and vision coverage
- Life and disability insurance
- Flexible spending accounts
- A discretionary annual bonus program
- Stock-based long-term incentives
- Award-winning time-off plans
- Bi-annual company-wide shutdowns
- Flexible work models where possible
- Career development opportunities
- Work/life balance
