обновлено 5 дней назад
Senior Scientific Data Engineer
140 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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