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23 часа назад

Data Scientist - PKDM-BA (Biotechnology)

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 - PKDM-BA (Biotechnology): Developing and supporting scientific computing platforms, analytical environments, and reusable data-driven applications for pharmaceutical research with an accent on reproducible workflows, FAIR data principles, and scientific collaboration. Focus on building scalable tools, automating research processes, integrating enterprise and cloud data sources, and deploying applications with Python, R, Docker, Kubernetes, and SQL.

Location: South San Francisco, California, United States

Company

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

What you will do

  • Develop and maintain scientific computing platforms and shared analytical environments for data analysis and modeling.
  • Design scalable, reproducible, and traceable workflows aligned with FAIR data principles.
  • Improve data accessibility and automate routine research processes.
  • Build and deploy reusable data-driven tools and applications for scientific research and development.
  • Collaborate with scientists and cross-functional teams to deliver technical solutions and improve workflows.
  • Provide training, documentation, and technical guidance to non-technical users.

Requirements

  • Doctorate degree, or a master's degree with 2 years of relevant experience, or a bachelor's degree with 4 years of relevant experience in computer science, engineering, or an equivalent field.
  • Experience developing or supporting scientific computing environments, analytical tools, or data science platforms.
  • At least 2 years of experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Proficiency in R or Python and experience accessing data warehouses with SQL.
  • Experience developing and deploying data-driven applications using R Shiny, Dash, Streamlit, or similar frameworks.
  • Understanding of cloud services, on-premises server management, reproducible research, software lifecycle management, and FAIR data principles.

Nice to have

  • Basic understanding of the pharmaceutical industry and pharmacokinetics.
  • Excellent communication and interpersonal skills, with a collaborative mindset and eagerness to learn and share knowledge.

Culture & Benefits

  • Health, dental, and vision coverage, life and disability insurance, and flexible spending accounts.
  • Retirement and savings plan with company contributions.
  • Discretionary annual bonus program and stock-based long-term incentives.
  • Award-winning time-off plans and career development opportunities.
  • Flexible work models where applicable to the role.

Hiring process

  • Applications are accepted until a sufficient number of candidates are received or a candidate is selected.
  • Sponsorship for this role is not guaranteed.

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