
Principal Analytics Platform Engineer
Haemonetics
full-time
Posted on:
Location Type: Hybrid
Location: Boston • Massachusetts • United States
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Salary
💰 $101,074 - $172,098 per year
Job Level
About the role
- 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
- Paid and/or floating holidays
- Parental leave
- Short- and long-term disability insurance
- Tuition reimbursement
- Health and welfare benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLCFastAPIdata modelingOLAPJupyterstatisticsJMPTABLEAU
Soft Skills
strong documentation practicescommunication of technical conceptstroubleshootingsupportcollaboration