Remote-Eligible Data Scientist β€” Pharma AI & Forecasting in Cambridge

Remote-Eligible Data Scientist β€” Pharma AI & Forecasting in Cambridge

Cambridge Full-Time 60750 - 74250 Β£ / year (est.) Home office (partial)
Amgen SA

At a Glance

  • Tasks: Develop and apply innovative data science and AI solutions in pharma.
  • Company: Amgen Cambridge, a leader in pharmaceutical innovation.
  • Benefits: Remote-eligible role with competitive salary and professional growth.
  • Other info: Join a dynamic team focused on cutting-edge healthcare solutions.
  • Why this job: Make a real impact on clinical development and new therapies.
  • Qualifications: Experience in data science, ML, and AI; strong collaboration skills.

The predicted salary is between 60750 - 74250 Β£ per year.

Amgen Cambridge is seeking a Data Scientist to develop and apply innovative data science, ML, and AI solutions to support Clinical Development and new therapies. You will collaborate with cross-functional teams to deliver data-driven insights that inform study objectives and decision-making.

You will translate modelling outputs into practical insights for trial planning, enrolment forecasts, and operational monitoring, while expanding your expertise in AI frameworks and pharma analytics to solve.

Remote-Eligible Data Scientist β€” Pharma AI & Forecasting in Cambridge employer: Amgen SA

Amgen SA in Cambridge is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to competitive rewards and flexible working conditions, making it an ideal environment for those looking to make a meaningful impact in the field of rare and inflammatory diseases.

Amgen SA

Contact Details:

Amgen SA Recruitment Team

We think you need these skills to ace Remote-Eligible Data Scientist β€” Pharma AI & Forecasting in Cambridge

Data Science
Machine Learning (ML)
Artificial Intelligence (AI)
Clinical Development
Pharma Analytics
Data-Driven Insights
Modelling Outputs Translation