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Senior Scientific Data Engineer (AI)

140 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Scientific Data Engineer (AI/scientific data): Leading the Scientific Data Engineering team and building production data models, parsers, pipelines, and customer-facing data applications for pre-clinical and life sciences data with an accent on Python, SQL, AI agents, and data quality. Focus on architecting integrations across laboratory and manufacturing data sources, productizing reusable parsing libraries, ensuring comprehensive test coverage, and mentoring engineers while delivering mission-critical implementations.

Location: Cambridge, Massachusetts, United States; Workplace: Hybrid

Salary: $140,000–$200,000 USD per year

Company

hirify.global builds Tetra OS, a scientific intelligence operating system that helps life sciences organizations turn fragmented scientific data into AI-native assets and workflows.

What you will do

  • Lead the Scientific Data Engineering team and architect production-ready data solutions with Product Managers and Solution Architects.
  • Build data models, prototypes, integrations, schemas, and parsers for pre-clinical data from laboratory instruments, manufacturing, CROs, CDMOs, ELNs, and LIMS.
  • Use AI agents and productize reusable parsing functions and schema components into Python libraries.
  • Develop high-quality data pipelines, applications, reports, and dashboards using Python, React, Streamlit, and Jupyter notebooks.
  • Ensure data and product quality through unit tests, integration tests, quality gates, and process improvements.
  • Coordinate Agile delivery, resolve blockers, collaborate across functions, and mentor junior Scientific Data Engineers.

Requirements

  • 8+ years of experience building data products as a Data Engineer or in a similar role.
  • 8+ years of experience working with Python and SQL, focused on data.
  • Experience leading projects, managing requirements, timelines, customer implementations, and delivery milestones.
  • Experience working with cross-functional teams and communicating technical products to product management and engineering.
  • Strong communication skills, attention to detail, and confidence taking ownership of project delivery.
  • React or Streamlit dashboarding experience and experience with pre-clinical data and lab scientists are strongly preferred.

Culture & Benefits

  • Collaboration across internal and external teams is central to delivery.
  • 100% employer-paid benefits for eligible employees and immediate family members.
  • 401(k) plan.
  • Unlimited paid time off.
  • Company-paid life insurance and LTD/STD coverage.
  • Visa sponsorship is not available for this position.

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