Data Scientist - AI for Drug Development & Clinical Trials

Initial Therapeutics, Inc.; Washington (District of Columbia); On-site; USD 120,000 - 170,000; Full time

Job summary

Amgen is seeking a Data Scientist to design, develop, and implement scalable data engineering, machine learning (ML), and analytics solutions that accelerate Clinical Development and advance therapies for patients.

You will act in support the Center for Design & Analysis, partnering with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytical tools, and visualization solutions.

Qualifications

• MS/PhD in statistics, biostatistics, math, CS, data science, or related field.
• Strong coding skills in R and Python with robust software practices.
• Experience with ML algorithms and scalable analytics in cloud environments.

Responsibilities

• Collaborating with research scientists and data scientists to develop AI and advanced analytics solution to speed drug research and development.
• Designing, writing, and testing data / ML pipelines and other advanced analytic / visualization solutions
• Collect business requirements / user stories for new or enhancements to existing analytic solutions
• Train users in the use of solutions provided by the CfDA Data Science organization
• Contribute to process improvement initiatives
• Adhere to Amgen Policies, SOPs, and other controlled documents.
• Participate in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents.
• Participate in external professional organizations, conferences and/or meetings.

Skills

R/Python coding

ML knowledge

Linux

Cloud deployment

Education

MS/PhD in Statistics

Bachelors in related field

Tools

Spark

Git

Python Dask

Job description

Amgen is seeking a Data Scientist to design, develop, and implement scalable data engineering, machine learning (ML), and analytics solutions that accelerate Clinical Development and advance therapies for patients.

You will act in support the Center for Design & Analysis, partnering with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytical tools, and visualization solutions.