What are the responsibilities and job description for the Data Scientist position at Dale Workforce Solutions?
Onsite - San Francisco, CA - 2-3 days onsite
Must Have: B.S. 3 years of relevant experience. The team may be open to less experience if someone has lots of hands on relevant experience. Experience with containerization and orchestration tools (Docker, Kubernetes). R programing knowledge. Proven experience deploying R Shiny applications. SQL
Nice to have: AWS, Pharma experience, strong communication skills.
Job Description:
The Pharmacokinetics and Drug Metabolism (PKDM) department at Client is committed to the discovery and development of Client, effective, and safe medicines. We are seeking a skilled Data Scientist to work alongside PKDM scientists, with a particular focus on UI development for quantitative pharmacology applications, including interactive web-based tools such as R Shiny. The ideal candidate will collaborate closely with scientists to build user-friendly interfaces that enhance data accessibility, streamline complex workflows, and improve overall efficiency. In addition to developing these tools, the candidate will play a key role in optimizing server-side computational resources to support high-demand modeling applications, ensuring a harmonized environment for quantitative pharmacology (QP) modeling.
Basic Qualifications:
" Bachelor s degree with 3 years of experience
OR
" Master s degree with 1 year of experience
Must Have: B.S. 3 years of relevant experience. The team may be open to less experience if someone has lots of hands on relevant experience. Experience with containerization and orchestration tools (Docker, Kubernetes). R programing knowledge. Proven experience deploying R Shiny applications. SQL
Nice to have: AWS, Pharma experience, strong communication skills.
Job Description:
The Pharmacokinetics and Drug Metabolism (PKDM) department at Client is committed to the discovery and development of Client, effective, and safe medicines. We are seeking a skilled Data Scientist to work alongside PKDM scientists, with a particular focus on UI development for quantitative pharmacology applications, including interactive web-based tools such as R Shiny. The ideal candidate will collaborate closely with scientists to build user-friendly interfaces that enhance data accessibility, streamline complex workflows, and improve overall efficiency. In addition to developing these tools, the candidate will play a key role in optimizing server-side computational resources to support high-demand modeling applications, ensuring a harmonized environment for quantitative pharmacology (QP) modeling.
Basic Qualifications:
" Bachelor s degree with 3 years of experience
OR
" Master s degree with 1 year of experience
