Biotech Data Scientist: AI for Drug Development

BioSpace; Washington (District of Columbia); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work options

Job summary

Amgen is seeking a Data Scientist to design, build, and implement scalable data engineering, ML, and analytics solutions that accelerate clinical development. You will partner with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytics tools, and visualizations aligned with Amgen quality standards.

The role emphasizes collaboration across global teams, optimizing methods and algorithms, and ensuring reliable, scalable solutions.

Qualifications

• Doctorate in a relevant field (PhD/MD/PharmD) or equivalent.
• Masters with 3+ years of related experience in data science or biotech realms.
• Bachelors with 5+ years of related experience acceptable for role.

Responsibilities

• Design, develop, and implement scalable data engineering, ML, and analytics solutions.
• Collaborate with cross-functional teams to translate requirements into data pipelines and visualization tools.
• Develop AI/advanced analytics solutions to accelerate drug research and development.
• Train users in the use of CFDA Data Sciences outputs and promote knowledge sharing.
• Contribute to policies, SOPs, and external professional activities.

Skills

R/Python

ML algorithms

Linux / shell

Spark / Dask

Git / DevOps

Cloud platforms

Communication to non-technical

Education

Doctorate (PhD/MD/PharmD)

Masters + 3 years related experience

Bachelors + 5 years related experience

Tools

Spark

Dask

Git

Cloud platforms

Job description

Amgen is seeking a Data Scientist to design, build, and implement scalable data engineering, ML, and analytics solutions that accelerate clinical development. You will partner with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytics tools, and visualizations aligned with Amgen quality standards.

The role emphasizes collaboration across global teams, optimizing methods and algorithms, and ensuring reliable, scalable solutions.