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обновлено 5 дней назад

Senior Scientific Data Engineer

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

Текст:
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TL;DR
Senior Scientific Data Engineer (Python/SQL): Building scientific data models, parsers, pipelines, and data applications for pre-clinical research and manufacturing workflows with an accent on AI-assisted schema generation, reusable Python libraries, and high-fidelity data. Focus on architecting customer-facing solutions, leading cross-functional implementations, mentoring engineers, and enforcing quality through comprehensive unit and integration testing.

Location: Cambridge, Massachusetts, United States; hybrid workplace

Salary: $140,000–$200,000 USD annually

Company

hirify.global builds Tetra OS, a scientific intelligence operating system that turns fragmented life sciences data into AI-native assets and workflows for discovery, development, and manufacturing.

What you will do

  • Lead the Scientific Data Engineering team and architect production-ready data solutions.
  • Work with product managers and solution architects to translate business and data objectives into customer-focused implementations.
  • Build data models, prototypes, integrations, schemas, and parsers for pre-clinical data from lab instruments, manufacturing, CROs, CDMOs, ELNs, and LIMS.
  • Develop reusable Python libraries, high-quality data pipelines, data applications, reports, and dashboards using Python, React, Streamlit, and Jupyter.
  • Ensure data and product quality through unit tests, integration tests, utility functions, and quality gates.
  • Lead process and technology improvements, coordinate Agile delivery, remove blockers, and mentor junior scientific data engineers.

Requirements

  • 8+ years building data products as a data engineer or in a similar field.
  • 8+ years working with Python and SQL with a focus on data.
  • Experience leading projects, managing requirements, timelines, delivery milestones, and customer-focused implementations.
  • Ability to collaborate with product managers, project managers, business analysts, data architects, and ML engineers.
  • Strong communication skills, attention to detail, technical understanding, and ownership of project delivery.
  • This position is not eligible for visa sponsorship.

Nice to have

  • Experience with React or Streamlit for data plotting and dashboards.
  • Experience working with pre-clinical data and lab scientists.

Culture & Benefits

  • Collaboration across internal and external teams with a strong focus on customer success.
  • Employer-paid benefits for eligible employees and immediate family members.
  • 401(k) plan.
  • Unlimited paid time off.
  • Company-paid life insurance and long-term and short-term disability insurance.

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