Amgen USA Inc. Posted August 20, 2026

CD&A Data Scientist, Obesity - Associate

Thousand Oaks, United States Full time
Biostatistics & Data Science Associate

Amgen USA Inc. is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Career Category

Sales & Marketing Operations

Job Description

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission, to serve patients living with serious illnesses, drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

CD&A Data Scientist, Obesity – Associate – Hybrid

This role requires three days a week on-site.

The Data Scientist – Associate role within Commercial Data & Analytics (CD&A) is a hands-on analytics position supporting commercial strategy, performance measurement, and decision-making across Amgen’s portfolio. Based in Thousand Oaks, this role will contribute to analytical projects that address commercial business questions and work closely with cross-functional partners to help deliver actionable insights.

This position is designed for an early-career data scientist who is eager to develop their technical capabilities, commercial understanding, and ability to communicate analytical findings. The successful candidate will work under the guidance of more experienced team members while taking ownership of clearly defined analyses and deliverables. The role does not have direct reports.

What you will do

Commercial Analytics & Data Science

Support the development, maintenance, and enhancement of analytical solutions used in commercial decision-making, including forecasting inputs, patient and market segmentation, and performance analytics

Apply statistical and machine-learning techniques to structured commercial and healthcare datasets

Conduct exploratory data analysis, data preparation, feature engineering, and model evaluation

Assist with interpreting analytical results in the context of business objectives, data quality, and methodological limitations

Contribute to the documentation and quality review of analytical methods and outputs

Data & Technical Execution

Write and maintain SQL queries to extract, transform, and analyze data from enterprise data sources

Use Python and/or R to clean data, conduct analyses, and support the development of analytical models

Work within cloud-based analytics environments and use curated enterprise data assets

Support repeatable analytical workflows, code documentation, quality control, and model deployment activities

Develop dashboards, reports, and visualizations using tools such as Tableau or Spotfire

Troubleshoot data and analytical issues with support from senior team members and technology partners

Business Partnership

Assist in translating business questions from marketing, forecasting, insights, and leadership teams into defined analytical tasks

Prepare clear summaries of analytical findings for technical and non-technical audiences

Support ongoing commercial reviews, planning activities, and ad hoc analyses

Collaborate with forecasting, insights, data strategy, and technology partners within CD&A

Build knowledge of the obesity market, Amgen’s commercial business, and the healthcare environment

Ways of Working

Manage assigned analytical tasks and timelines in a fast-paced commercial environment

Apply structured problem-solving and attention to detail when completing analyses

Seek guidance when business requirements, data, or analytical results are unclear

Incorporate feedback from team members and business partners to improve analytical outputs

Follow applicable data governance, compliance, privacy, and documentation standards

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The motivated professional we seek is someone with these qualifications.

Basic Qualifications

Bachelor’s degree

OR

Associate’s degree and 4 years of relevant experience,

OR

High school diploma/GED and 6 years of relevant experience

Preferred Qualifications

Working proficiency in Python and/or R

Experience using SQL and relational databases

Experience with Tableau, Spotfire, or a similar data visualization tool

Familiarity with cloud analytics platforms such as Databricks, Azure, or AWS

Foundational understanding of statistical modeling and machine-learning concepts

Experience preparing, cleaning, and analyzing large or complex datasets

Ability to summarize analytical findings clearly and connect them to business questions

Experience in pharmaceutical, biotechnology, healthcare, or commercial analytics is preferred

Strong attention to detail, curiosity, and willingness to learn

Effective collaboration and communication skills in a matrixed organization

What You Can Expect of Us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts

A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

Stock-based long-term incentives

Award-winning time-off plans

Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

. Salary Range

USD - USD

Job details

Seniority
Associate
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Thousand Oaks, United States
Employment type
Full time

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 20 comparable Associate Biostatistics & Data Science roles across 9 biopharma companies.

20Comparable roles tracked
14Currently active
9Companies hiring similar roles
4Countries represented

Salary context

11 of 20 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.

This roleSubject Not listed on this posting
Lowest disclosed · Senior Manager, Data Science · AbbVie $0/hr – $0/hr (≈ $0–$0/yr)
Highest disclosed · Advisor - Computational Statistician · Lilly $151,500/yr – $244,200/yr
Peer group range $0 – $197,850 (median $159,000)

Where these roles are based

Top locations among the 20 comparable roles

United States16
Japan2
India1
Denmark1

Seniority mix

20 of 20 peers have a known seniority level

Manager15
Intern/Fellow/Postdoc3
Associate2

Therapeutic area mix

8 of 20 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology8

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.

60%similar
Lilly Indianapolis, Indiana, United States of America Associate
Same function Same seniority Same country
60%similar
Amgen USA Inc. Thousand Oaks, United States Associate
Same function Same seniority Same country
50%similar
AbbVie Manager
Same function Adjacent seniority Same country

Open in 2 locations

South San Francisco, United StatesNorth Chicago, United States
50%similar
AbbVie Manager
Same function Adjacent seniority Same country

Open in 3 locations

North Chicago, United StatesFlorham Park, United StatesSouth San Francisco, United States

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

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.

60%
Advisor - Computational Statistician
Lilly · Indianapolis, Indiana, United States of America · Associate
Function Therapeutic area Seniority Country
50%
Senior Manager, Statistical Programming - Oncology Early Development
AbbVie · North Chicago, IL · Manager
Function Therapeutic area Adjacent seniority Country
50%
Manager, Statistics - Oncology (Hybrid)
AbbVie · South San Francisco, CA · Manager
Function Therapeutic area Adjacent seniority Country
50%
Manager, Statistics - Oncology (Hybrid)
AbbVie · South San Francisco, CA · Manager
Function Therapeutic area Adjacent seniority Country
Unmatched or unknown dimensions score exactly the same: 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.