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14 дней назад

Data Scientist (Machine Learning)

Тип работы
fulltime
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
Data Scientist (Machine Learning): Designing and implementing scalable data engineering, machine learning, analytics, data pipeline, and visualization solutions for clinical development with an accent on reliability, scalability, and quality compliance. Focus on translating business requirements into analytical tools, optimizing algorithms and processes, and advancing therapies for patients.

Company

hirify.global is a biotechnology company developing and delivering medicines for serious diseases across oncology, inflammation, general medicine, and rare disease.

What you will do

  • Design, develop, and implement scalable data engineering, machine learning, and analytics solutions for Clinical Development.
  • Build robust data pipelines, analytical tools, and data visualization solutions.
  • Partner with data scientists and cross-functional teams to translate business requirements into technical solutions.
  • Contribute to the continuous improvement of analytics capabilities, methods, algorithms, and processes.
  • Ensure solutions are reliable, scalable, and aligned with quality and compliance standards.

Requirements

  • PhD, PharmD, or MD; or a master’s degree with 3 years of related experience; or a bachelor’s degree with 5 years of related experience.
  • Experience relevant to data science, data engineering, machine learning, analytics, or clinical development.
  • The expected annual salary range applies to roles in the U.S., excluding Puerto Rico.

Culture & Benefits

  • Collaborative, innovative, and science-based work environment.
  • Health and welfare plans for eligible staff and dependents.
  • Financial plans supporting retirement and other savings goals.
  • Work-life balance and career development opportunities.
  • Inclusive environment focused on diversity, ethical conduct, and advancing science.

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