Associate Data Scientist
About this opportunity
Career Category
Information Systems
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. 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.
What you will do
Let’s do this. Let’s change the world. In this vital role we are seeking a highly skilled and thorough Data Analyst to join our dynamic team. This role is pivotal in ensuring that our products meet the highest standards of quality and that patient complaints are thoroughly analyzed and addressed. The ideal candidate will possess a strong background in data analysis, excellent communication skills, and a passion for improving patient outcomes and product quality.
Collect, organize, and analyze data related to product performance (e.g., APRs) and patient complaints.
Ensure data integrity, accuracy, and accessibility for further analysis.
Apply statistical software and data visualization tools to interpret and present findings.
Identify trends, patterns, and insights from large datasets to advise decision-making processes.
Prepare comprehensive reports summarizing analysis results, including actionable recommendations.
Maintain accurate and up-to-date documentation of all data analysis activities.
Ensure compliance with regulatory requirements and company policies in all documentation and reporting.
Collaborate with cross-functional teams to develop and implement quality improvement initiatives based on data analysis findings.
Provide insights and support for product complaint teams to enhance product quality and patient experience.
Present data analysis results and recommendations to management and other partners.
Foster positive relationships with external and internal partners.
Data Cleaning: Ensuring data integrity by identifying and rectifying errors, inconsistencies, and redundancies.
Database Management: Storing and coordinating data in databases or data warehouses for easy access and analysis.
Diagnostic Analysis: Investigating the root causes of specific issues, such as recurring product defects or common patient complaints.
Visualization: Developing charts, graphs, and dashboards to present data in a more understandable and impactful manner.
What we expect of you
We are all different, yet we all use our outstanding contributions to serve patients.
Basic Qualifications:
Bachelor’s degree and 3 to 5 years of one or more analytic software tools or languages (e.g., SAS, Data Bricks, Salesforce, SQL, Python) and experience with data visualization tools like Square Two (S2), Spotfire, Bio Connect, Tableau, Power BI, Smartsheet, or similar, experience OR
Preferred Qualifications:
Strong analytical and problem-solving skills with the ability to interpret sophisticated data sets.
Excellent written and verbal communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Attention to detail and a dedication to quality and accuracy.
Knowledge of regulatory requirements and quality management systems (e.g., ISO 13485, FDA regulations) is a plus.
Proactive and self-motivated with a strong sense of responsibility.
Adaptable and able to prioritize optimally.
Patient-centric mindset with a dedication to improving healthcare outcomes.
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.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Apply now
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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 290 comparable Associate Information Technology roles across 46 biopharma companies.
Salary context
49 of 290 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 290 comparable roles
+ 17 more countries
Seniority mix
290 of 290 peers have a known seniority level
Therapeutic area mix
0 of 290 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.
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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.