Manager, Programming Infrastructure & Analytics Enablement
About The Position
The Manager, Programming Infrastructure & Analytics Enablement works on the Programming team and reports to the Sr Director, Programming Infrastructure & Analytics Enablement. The role develops, implements, maintains, and optimizes data analytics solutions that support Programming’s strategic vision, using relevant technologies and tools. It partners with internal and cross-functional stakeholders to understand business needs and develop technical solutions. The position supports analysis and reporting of clinical trial and related data by creating and maintaining automated processes, tools, and solutions that increase efficiency and throughput while preserving quality and compliance. It contributes to the Biometrics infrastructure and analytics platform strategy, supports clinical data management, and helps ensure data integrity, security, and regulatory compliance. The role is fully remote, with minimal occasional travel for team meetings or events.
Requirements
- Bachelor’s degree in Biostatistics, Statistics, Computer Science, Data Science, or a related field, with at least 5 years of relevant experience; or an advanced degree (MS) in a related discipline with at least 3 years of experience.
- Experience in statistical programming and analytics within pharmaceutical or biotechnology clinical development.
- Strong proficiency in R.
- Familiarity with the pharmaverse and tidyverse ecosystems for clinical data analysis and reporting.
- Working knowledge of CDISC standards and clinical trial data structures.
- Demonstrated ability to develop and maintain reusable programming utilities, macros, and packages.
- Ability to manage multiple projects and tasks simultaneously, deliver on agreed timelines, and escalate risks to management and stakeholders as needed.
- Collaborative, proactive problem-solving ability and sound decision-making, both independently and in cross-functional teams.
- Excellent verbal and written communication skills, strong organization, and attention to detail, clarity, and accuracy.
- Ability to identify opportunities and contribute ideas for process and technical improvement.
Nice To Haves
- Experience with SAS and Python.
- Experience with R package development.
- Experience with version control such as Git.
- Familiarity with CI/CD pipelines and cloud platforms.
Responsibilities
- Identify gaps and develop, test, implement, and maintain technical solutions, including packages, utilities, and macros, to accelerate statistical programming of clinical trial data.
- Help identify and onboard technologies, tools, and platforms for current and future data analytics and visualization needs, including hands-on evaluation and piloting.
- Gather stakeholder requirements and propose technical solutions that leverage existing capabilities and support automation and standardization.
- Lead technical implementation of assigned projects and workstreams, including creating proof-of-concepts and contributing to solution designs.
- Manage assigned initiatives to meet team objectives with moderate supervision, prioritize personal work, and support team planning.
- Support management of clinical trial and stakeholder data for efficient storage, archival, retrieval, and reporting, while supporting data integrity, security, and regulatory compliance.
- Execute change management activities during system, tool, and process maintenance and upgrades, ensuring adherence to computer system validation requirements and quality standards.
- Provide technical guidance, training, and user support to encourage adoption of technical solutions and stakeholder satisfaction.
- Stay current on emerging data analytics techniques and pursue professional development to strengthen technical, scientific, and operational capabilities in line with policies and regulatory standards.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Mental health support and access to an Employee Assistance Program (EAP).
- Annual wellbeing reimbursement.
- Generous paid time off policies.
- Fertility and family-forming benefits and caregiver support.
- Flexible work schedules with purposeful in-person collaboration.
- 401(k) plan with a competitive company match.
- Annual equity awards.
- Employee Stock Purchase Plan (ESPP).
- Company-paid life and disability insurance.
- Company Learning Institute with access to LinkedIn Learning, skill-building workshops, leadership programs, mentorship connections, and networking opportunities.
- Employee resource groups, service and recognition programs, and opportunities to connect, volunteer, and give back.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
