Senior Data Scientist, Process Modeling

Amgen

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Boston, MACheyenne, WYHouston, TXLouisville, KYAtlanta, GAThousand Oaks, CAWichita, KSJackson, MSMilwaukee, WIColumbus, OHMinneapolis, MNFargo, NDDes Moines, IACharleston, WVWashington, DCSeattle, WAMemphis, TNCharlotte, NCIndianapolis, INJacksonville, FLSioux Falls, SDVirginia Beach, VANew York, NYColumbia, SCProvidence, RIDetroit, MILittle Rock, ARWilmington, DEAlbuquerque, NMBurlington, VTPhiladelphia, PASalt Lake City, UTPhoenix, AZNewark, NJPortland, ORBridgeport, CTAnchorage, AKChicago, ILManchester, NHOklahoma City, OKDenver, COLos Angeles, CACambridge, MALas Vegas, NVBirmingham, ALOmaha, NEBillings, MTBaltimore, MDPortland, MEBoise City, IDHonolulu, HINew Orleans, LAKansas City, MO
Salary: $134,168–$181,521 / yr
Employment: Full-time
Posted: 50 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k

This role $158k

$106k $233k

below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $135,000–$212,439 — the blue band above. At the midpoint, this role pays about $158k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 74 open roles on FindRole.

Listed pay typically runs $136,906–$185,227 across 43 roles with salary data.

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View all roles at Amgen

At a glance

TL;DR · Senior Data Scientist, Process Modeling

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The Sr. Data Scientist - Process Modeling joins the Digital Process and Systems Analysis group within Process Development. This role focuses on advancing biologics drug-substance modeling and digitizing tech-transfer workflows to improve manufacturing timelines and ensure right-first-time success. You will build data products to enable FAIR data, develop AI Agentic workflows for modeling assets, and create visualizations to support drug substance development and life-cycle management. Key responsibilities include evaluating digital assets, performing cost-benefit and scenario analyses, and collaborating with engineers to identify process design improvements. Required skills include Python, SQL, Databricks, React, and BI tools like Spotfire or Tableau. The role addresses the technical challenge of parameterizing modeling capabilities to provide early insights and phase-appropriate decision-making for both biologic and synthetic moieties across a global manufacturing network.

What does a Data Scientist earn in California?

Median $214500 from 115 postings across 26 companies.

See salary data

Skills

Python SQL Databricks React Spotfire Tableau Power BI AI AGILE Data Engineering Data Pipelines Process Modeling FAIR Data Chat GPT Codex GenieCode

What you'll do

Drive the implementation of digital technologies using tech-transfer and process-modeling domain knowledge.
Act as the Digital Product Owner for tech-transfer digital applications and process-modeling expansion.
Develop data products to enable FAIR data for tech transfer and New Product Introduction.
Enable AI Agentic workflows for Drug Substance Technology modeling assets.
Build and integrate modeling assets into business processes for Drug Substance Technology.
Identify process design improvements by working closely with engineers on Amgen products.
Provide business recommendations including cost-benefit, forecasting, and scenario analysis to stakeholders.
Contribute to the data science strategy regarding process monitoring, data engineering, and analytic platforms.

What we're looking for

Must have a Doctorate degree.
Must have a Master’s degree and 2 years of Data Science or Engineering experience.
Must have a Bachelor’s degree and 4 years of Data Science or Engineering experience.
Must have an Associate’s degree and 8 years of Data Science or Engineering experience.
Must have a High School diploma or GED and 10 years of Data Science or Engineering experience.
MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science (preferred).
Chemical Engineering modeling, drug-substance, and tech-transfer experience (preferred).
3+ years of work experience in a biotechnology role such as process engineer, scientist, or data scientist (preferred).

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