Senior Data Scientist, Process Modeling & Digital Ops

Initial Therapeutics, Inc.; Boston (MA); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Stock-based long-term incentives

Retirement and Savings Plan

Flexible work models

Job summary

Amgen is seeking a Sr. Data Scientist - Process Modeling to join the Digital Process and Systems Analysis group within Process Development.

You will enable data infrastructure, platforms, and analytics supporting engineers across Amgen’s network, delivering state-of-the-art insights for biologics and synthetic moieties. This role focuses on drug-substance modeling, tech-transfer workflows, and life-cycle management, driving digitization to speed technology transfer and right-first-time outcomes

Qualifications

• Doctorate degree or equivalent in data science/engineering
• 4+ years of data science or engineering experience with a BS/BA plus 8 years option
• 3+ years of biotech process modeling or related domain experience is preferred

Responsibilities

• Drive implementation of digital technologies for tech-transfer and process modeling
• Own digital applications and expand digital process-modeling for the DS network
• Collaborate across product teams to integrate modeling assets into business processes
• Develop data products to enable FAIR data for tech transfer/NPI
• Lead AI-enabled workflows and evaluate digital assets for performance gains
• Provide data-driven recommendations to stakeholders across multiple functions

Skills

Data science

Biotech experience

AGILE

Databricks

Python

SQL

Education

Doctorate degree

Master's degree with 2+ years

Bachelor's degree with 4+ years

Tools

Databricks

Python

SQL

Spotfire/Tableau/Power BI

React

Job description

Amgen is seeking a Sr. Data Scientist - Process Modeling to join the Digital Process and Systems Analysis group within Process Development.

You will enable data infrastructure, platforms, and analytics supporting engineers across Amgen’s network, delivering state-of-the-art insights for biologics and synthetic moieties. This role focuses on drug-substance modeling, tech-transfer workflows, and life-cycle management, driving digitization to speed technology transfer and right-first-time outcomes