Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global healthcare and life sciences organization is committed to advancing science, developing innovative healthcare solutions, and improving access to care. Its Product Development Data Sciences organization uses advanced data science, statistical computing, digital technologies, and automation to generate data-driven insights and support evidence-based decision-making throughout the clinical development process.
Key Responsibilities
- Provide strategic and technical leadership in designing and evolving next-generation statistical computing platforms.
- Anticipate emerging industry trends, technologies, and regulatory developments and translate them into forward-looking data science capabilities, frameworks, and standards.
- Lead large-scale, cross-functional initiatives that transform how clinical, operational, and real-world data are processed, visualized, and interpreted.
- Serve as a senior technical advisor to platform owners, programming and statistical leadership, and governance teams on complex infrastructure, automation, and scientific computing matters.
- Guide technical vision, architectural decisions, and resource planning for high-impact tooling and infrastructure initiatives.
- Resolve complex system-level challenges across disciplines by applying advanced scientific computing expertise and systems thinking.
- Influence internal policies, development standards, and best practices across teams, functions, and geographic locations.
- Communicate complex technical concepts clearly to senior stakeholders and influence decisions regarding investment, tooling strategies, and portfolio priorities.
- Foster a culture of technical excellence, collaboration, innovation, mentorship, and knowledge sharing.
- Develop scalable and reusable solutions that improve statistical computing efficiency and support reliable evidence generation.
- Collaborate with cross-functional teams to ensure data science platforms meet current and future organizational needs.
Required Qualifications
- PhD or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative discipline.
- Minimum of 8 years of experience in data science, statistical computing, or platform development.
- Demonstrated record of delivering significant organizational or cross-functional impact.
- Recognized expertise in building and scaling scientific or statistical software systems.
- Strong understanding of clinical research environments and applicable regulatory considerations.
- Expertise in multiple programming environments, such as Python and R.
- Experience applying development practices that support reproducible, compliant, and high-performance computing.
- Demonstrated experience leading technically complex and strategically significant programs or cross-functional initiatives.
- Strong independent decision-making capabilities based on sound technical and scientific principles.
- Excellent strategic agility, problem-solving, critical-thinking, and systems-thinking skills.
- Ability to work effectively with colleagues from diverse cultural backgrounds in a global workplace.
- Excellent verbal and written communication skills, including the ability to influence senior stakeholders and clearly communicate technical strategies.
- Proven experience leading global, cross-functional projects or workstreams across time zones and diverse stakeholder groups.
Preferred Qualifications
- Experience shaping the architecture and long-term roadmap of enterprise-scale data science platforms or statistical computing environments.
- Demonstrated ability to influence regulatory and quality frameworks related to digital and analytical tools.
- Strategic understanding of healthcare data ecosystems, including real-world data, translational pipelines, and high-dimensional data integration.
- Proven ability to drive technology adoption and organizational change through technical leadership, stakeholder engagement, and thoughtful solution design.
- Engagement with external scientific or developer communities through open-source contributions, industry consortia, conference presentations, or similar activities.
- Experience guiding investment and resource decisions for high-impact tooling or analytics initiatives.
- Ability to translate organizational priorities into technically sound, scalable, and impactful solutions.
Disclaimer
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