4 дня назад
Implementations Engineer (Python)
90 000 - 110 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Implementations Engineer (Python/scientific data): Building production-grade integrations between laboratory instruments, ELNs, LIMS, databases, and Uncountable's R&D platform with an accent on data transformation, API connectivity, and customer-specific workflows. Focus on designing automated pipelines, parsing complex scientific file formats, mapping schemas, and maintaining reliable integrations.
Location: New York, San Francisco, London, or EU remote. The listing also identifies the role as on-site.
Salary: New York or San Francisco $90K–$110K; London £55K–£65K; EU remote €30K–€55K, with equity and bonus opportunities.
Company
builds a unified R&D platform that helps chemists, materials scientists, and biologists accelerate product discovery and development.
What you will do
- Build integrations that ingest data from laboratory instruments such as spectrometers, rheometers, and HPLCs.
- Design automated data-transfer pipelines connecting ELNs, LIMS, spreadsheets, databases, and the platform.
- Write Python scripts and internal tooling to parse, validate, and transform scientific data files.
- Work with customer technical teams to understand data environments, map schemas, and deliver documented integrations.
- Collaborate with core engineering on reusable integration patterns, shared libraries, and internal tooling.
- Debug and maintain integrations as customer requirements and data sources evolve.
Requirements
- Coursework or professional experience equivalent to four university-level computer science courses.
- Ability to write Python or another scripting language for processing data files.
- Meaningful knowledge of chemistry, materials science, biology, or another related life or physical science.
- Curiosity about software engineering and technology-enabled scientific workflows.
- Comfort working with unfamiliar file formats, APIs, and data structures.
- B.S. in computer science, chemical engineering, materials science, chemistry, bioengineering, or a related field.
Nice to have
- Experience with REST APIs, SQL databases, or Excel/CSV data pipelines.
- Exposure to laboratory environments, scientific instrumentation, or research data workflows.
- Previous startup or fast-paced technical environment experience.
Culture & Benefits
- Direct impact on the work of PhD scientists and industrial R&D organizations.
- Ownership of integrations from scoping through delivery.
- Direct interaction with customers and R&D leaders.
- Engineering-focused environment with mentorship and rapid career growth.
- Competitive salary, equity, health and dental insurance, and a 401(k) with employer contribution for US locations.
Hiring process
- Interview details are provided through 's interviewing information.
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