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21 день назад

Applied R&D Data Scientist (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR
Applied R&D Data Scientist (AI/Cheminformatics): Developing machine learning, statistical, and AI solutions that transform chemical and scientific data into predictive models and decision-support tools, with an accent on reaction prediction, process optimization, impurity analysis, and experimental design. Focus on building generative AI, semantic search, information extraction, reproducible data pipelines, and rigorous model evaluation frameworks for life sciences R&D.

Location: Remote in the United States, based in or near Bend, Oregon

Company

hirify.global is a global life sciences organization manufacturing medicines across more than 30 sites on five continents.

What you will do

  • Develop machine learning, statistical, AI, and cheminformatics solutions for R&D challenges in chemical synthesis, process development, analytical sciences, and bioconjugation.
  • Transform structured and unstructured scientific data into actionable insights, predictive models, and decision-support tools.
  • Build, validate, and optimize models for reaction prediction, process optimization, impurity analysis, and experimental design.
  • Design and evaluate generative AI, semantic search, information extraction, and scientific knowledge systems.
  • Create reproducible data pipelines, feature engineering workflows, and model evaluation frameworks while addressing uncertainty and model limitations.
  • Collaborate with scientists, chemists, process engineers, product managers, data engineers, and IT teams, driving projects from problem definition through validated outcomes.

Requirements

  • Bachelor’s or master’s degree in data science, computer science, statistics, cheminformatics, computational chemistry, chemistry, engineering, or a related quantitative discipline; advanced degrees are preferred.
  • Experience applying data science, machine learning, AI, or scientific computing to complex scientific or technical problems.
  • Strong Python programming skills and proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, or PyTorch.
  • Working knowledge of chemistry and chemical data, including chemical structures, reactions, properties, and experimental datasets.
  • Experience developing, validating, and interpreting predictive models, including communicating assumptions, uncertainty, and limitations.
  • Ability to work independently in ambiguous technical environments and collaborate across multidisciplinary teams.

Culture & Benefits

  • Performance-related bonus.
  • Medical, dental, and vision insurance.
  • 401(k) matching plan, life insurance, and short- and long-term disability insurance.
  • Employee assistance programs and paid time off.
  • Work in a collaborative, accountable, excellence-focused, and scientifically rigorous environment.