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2 дня назад

Scientific Data Architect (AI/ML)

140 000 - 240 000$
Формат работы
onsite
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
Scientific Data Architect (AI/ML): Designing and implementing extensible scientific data models, Python pipelines, lab software integrations, visualizations, applications, and scientific agents for biopharma research and manufacturing with an accent on scalable data architecture and productized AI/ML use cases. Focus on translating complex scientific workflows into reusable solutions, integrating ELN/LIMS systems, and collaborating with scientists, product managers, engineers, and customer stakeholders.

Location: Tarrytown, New York, United States; on-site. The role requires customer-site engagement a couple of days per week and travel to client sites in the local geographic area.

Salary: $140,000–$240,000 per year

Company

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

What you will do

  • Design and implement extensible, reusable data models for scientific data use cases.
  • Translate scientific data workflows into robust solutions on the Tetra Data Platform.
  • Build Python-based pipelines, data visualizations, applications, scientific agents, and API integrations with ELN/LIMS software.
  • Collaborate with scientific business analysts, customer scientists, applied AI engineers, product managers, and software engineers to develop and deploy AI, ML, mechanistic, statistical, and hybrid models.
  • Engage scientific end users and technical stakeholders through discovery meetings, demos, implementation updates, and solution adoption activities.
  • Help shape and prioritize the product roadmap by identifying customer pain points and rapidly learning new technologies.

Requirements

  • PhD with 4+ years, Master’s with 6+ years, or Bachelor’s with 8+ years of industry experience in life sciences.
  • Extensive knowledge of drug discovery, preclinical development, CMC, product quality testing, or pharmaceutical manufacturing.
  • Experience defining, designing, prototyping, and implementing cloud-based AI/ML use cases.
  • Experience designing scalable data architectures, performing exploratory data analysis, and optimizing workflows.
  • Strong collaboration, communication, storytelling, and scientific consulting skills.
  • Ability to work on-site and travel to local client sites; visa sponsorship is not provided.

Nice to have

  • Hybrid dry-lab and wet-lab experience.
  • Experience with agentic development tools such as Claude Code and Codex.

Culture & Benefits

  • 100% employer-paid benefits for eligible employees and immediate family members.
  • Unlimited paid time off.
  • 401(k) plan.
  • Company-paid life insurance and long-term and short-term disability insurance.
  • Continuous improvement culture with career growth and coaching opportunities.

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