Principal Analytics Platform Engineer for R&D analyzing complex data and maintaining analytics infrastructure. Collaborating with cross-functional teams and translating data into decision-ready insights.
Responsibilities
Maintain and improve in-house data warehousing and analytics platform solutions
Assist with R&D experiment planning and analysis by investigating and structuring raw instrument data
Design and maintain data pipelines and computational workflows routinely
Collaborate with R&D, Marketing, and Field Clinical Services to investigate product incident reports
Develop and maintain FastAPI-based services that expose analytical and operational capabilities
Ensure analytical outputs are delivered in standard, portable formats
Prototype and evaluate emerging AI/ML solutions
Define and implement consistent data and study labeling standards
Design and develop tools and interfaces that enable secure integration with enterprise systems
Requirements
Ability to understand, maintain, and iterate on legacy codebases (Python, SQL, C)
Experience with data modeling and OLAP data solutions
Experience with Python web frameworks (FastAPI)
Experience with Python notebook environments (Jupyter, marimo)
Strong documentation practices
Ability to communicate complex technical and analytical concepts clearly
Ability to troubleshoot and support Linux and Windows server environments
Working knowledge of statistics and specialized statistical software (e.g., JMP, TABLEAU, Minitab)
Graduate degree in life sciences or computer sciences preferred
Benefits
401(k) with up to a 6% employer match and no vesting period
Employee stock purchase plan
Flexible time off for salaried employees
Accrual of three to five weeks’ vacation annually for hourly employees
Accrual of up to 64 hours of paid sick time annually
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