2 часа назад
Data Engineering Leader (AI)
180 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Leader (AI): Leading Scientific Data Engineer teams and building AI-native data schemas, parsers, pipelines, and productized solutions for pre-clinical scientific data with an accent on Python libraries, data quality, and customer-focused delivery. Focus on using LLMs to process complex laboratory data formats, designing tested data models and pipelines, and coordinating cross-functional implementation projects through production release.
Location: Cambridge, Massachusetts, United States; Workplace: Hybrid
Salary: $180K–$230K USD per year
Company
develops scientific data and AI solutions, including a collaborative scientific data and AI cloud and lab data management products designed to improve scientific outcomes.
What you will do
- Lead and manage a team of Scientific Data Engineers, including career development and performance management.
- Build data models, prototypes, schemas, parsers, and production solutions for pre-clinical data from laboratories, manufacturing, CROs, CDMOs, ELNs, and LIMS.
- Use LLMs to process diverse scientific data formats, including spreadsheets, PDFs, text files, raw instrument data, FID files, and vendor-specific binaries.
- Develop reusable Python libraries, high-quality data pipelines, data applications, reports, and dashboards using Python, React, Streamlit, and Jupyter notebooks.
- Lead design sessions, manage requirements and delivery milestones, and coordinate customer-focused implementation projects with product, scientific business, and solutions teams.
- Improve product quality and developer experience through unit testing, integration testing, Agile delivery, and process improvements.
Requirements
- 10+ years of experience building solutions as a Data Engineer or in a similar field.
- 10+ years of experience working with Python and SQL, focused on data.
- Experience managing engineering teams with five or more direct reports.
- Experience leading projects, managing requirements, timelines, delivery milestones, and multiple cross-functional customer implementations.
- Strong communication skills, attention to detail, technical product understanding, and confidence managing project delivery.
- This position is not eligible for visa sponsorship.
Nice to have
- Experience with data plotting and dashboarding tools such as React or Streamlit.
- Experience working with pre-clinical data and laboratory scientists.
Culture & Benefits
- Employer-paid benefits for eligible employees and immediate family members.
- 401(k) plan.
- Unlimited paid time off.
- Company-paid life insurance and short- and long-term disability insurance.
- Culture centered on transparency, trust, collaboration, resilience, customer alignment, craft, and equality of opportunity.
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