Associate Data Science
About this opportunity
Career Category
Engineering
Job Description
HOW MIGHT YOU DEFY IMAGINATION?
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission, to serve patients, drives all that we do. We are global collaborators who achieve together, researching, manufacturing, and delivering ever-better products that reach millions of patients worldwide. It’s time for a career you can be proud of.
Role Overview
The Associate Data Scientist is an entry-level role supporting data science initiatives across Amgen’s portfolio. This role will work closely with Data Science Leads and senior team members to contribute to analytics, modeling, and insight generation, while building strong foundations in applied data science.
Live | What you will do
Support analytics and data science projects across commercial use cases in the Gen Med portfolio
Assist in data preparation, exploratory analysis, and feature engineering to enable modeling efforts
Contribute to development and testing of predictive models and analytical frameworks under guidance of senior data scientists
Perform metric tracking, performance analysis, and validation checks with high attention to detail
Support creation of insight summaries, visualizations, and presentations for business stakeholders
Maintain and update code, dashboards, and analytical assets in Python/SQL environments
Follow best practices for documentation, QA, and reproducibility
Collaborate with team members to meet project timelines and communicate progress effectively
Engage in continuous learning across predictive modeling, experimentation, and commercial analytics methods
Thrive | What you can expect
Structured learning and hands-on experience in commercial data science applications
Exposure to end-to-end analytics delivery across brands and use cases
Mentorship from experienced data scientists and opportunities to grow into independent contributors
A collaborative environment focused on learning, impact, and development
Basic Qualifications
Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, or a related quantitative field
3 years of experience in analytics, data science, or related roles
Working knowledge of Python and SQL
Strong analytical thinking and problem-solving skills
Attention to detail and ability to deliver high-quality, accurate work
Preferred Qualifications
Exposure to predictive modeling, experimentation, or statistical analysis
Familiarity with commercial analytics or marketing performance measurement
Interest in healthcare, pharma, or life sciences analytics
Experience with tools such as Jupyter notebooks, Git, or data visualization platforms
Ability to work collaboratively with cross-functional teams and senior stakeholders
Strong communication skills and willingness to learn in a fast-paced environment
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 190 comparable Associate Information Technology roles across 25 biopharma companies.
Salary context
30 of 190 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 190 comparable roles
+ 9 more countries
Seniority mix
190 of 190 peers have a known seniority level
Therapeutic area mix
0 of 190 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.