Sr. Associate Systems Analyst
About this opportunity
Career Category
Clinical
Job Description
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
The Sr. Associate Systems Analyst – Clinical Data Hub will be responsible for analyzing business requirements, documenting functional and technical specifications, and supporting the development, deployment, and maintenance of large scale clinical data and analytics solutions that meet business needs while ensuring the availability, reliability, and performance of critical systems and applications. This role involves working closely with business stakeholders, product managers, and engineering teams to translate business needs into scalable technical solutions, develop and support data pipelines, automate operational processes, monitor system health, and troubleshooting production issues.
Roles & Responsibilities:
Capture the voice of the customer to define business processes and product needs
Work with Product Managers and customers to define scope and value for new developments
Maintain and ensure the quality of documented user stories/requirements in tools such as Jira
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions leveraging Databricks, PySpark , and SQL to ingest, transform, and process large-scale datasets
Develop and execute effective product demonstrations for internal and external stakeholders
Maintain accurate documentation of configurations, processes, and change
Ensure Acceptance Criteria and Definition of Done are well-defined
Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions
Validate that test scenarios meet feature acceptance criteria and customer expectations
Provide ongoing support and maintenance of the data pipelines and applications, ensuring that they operate smoothly and efficiently
Collaborate effectively with global teams across time zones to maintain alignment, resolve issues, and deliver on shared objectives .
Basic Qualifications and Experience:
Master’s / Bachelor's degree and 5 to 8 years of Life Science/Biotechnology /Pharmacology/Information Systems experience OR
Functional Skills:
Must-Have Skills :
Experience working in the Clinical domain, including GxP -regulated computer system validation (CSV) environments.
Experience working in Agile software development environments, including Scrum and Scaled Agile ( SAFe ) methodologies.
Hands-on experience with Databricks, AWS, PySpark , Python, and SQL for developing and supporting enterprise data and analytics solutions.
Experience with DevOps practices, including Continuous Integration (CI), Continuous Delivery (CD), release management, and production support
Experience collaborating with business stakeholders and subject matter experts (SMEs) to elicit, analyze, and document business and functional requirements, user stories, process flows, and technical specifications.
Good-to-Have Skills:
Experience writing and managing user stories, business requirements, and acceptance criteria using Agile project management tools such as Jira.
Experience creating and maintaining business and technical documentation in compliance with organizational standards and standard operating procedures (SOPs).
Understanding of biostatistical concepts and analysis methods
Knowledge of Generative AI, Agentic AI, and other emerging technologies, with the ability to evaluate and apply them to business and analytics solutions.
Strong analytical and problem-solving skills, with experience working with large, complex datasets to derive actionable insights.
Strong understanding of data governance principles, frameworks, metadata management, and data quality best practices.
Demonstrated ability to work effectively in a fast-paced, collaborative, and Agile environment while managing multiple priorities.
Professional Certifications :
Certified Tester/Agile Tester or similar (preferred)
Scaled Agile Framework ( SAFe ) certification (preferred)
Soft Skills:
Able to work under minimal supervision
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
Strict attention to detail and process adherence
Demonstrate presentation skills
Shift Information:
This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening shifts.
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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 378 comparable Senior Information Technology roles across 34 biopharma companies.
Salary context
45 of 378 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 378 comparable roles
+ 15 more countries
Seniority mix
378 of 378 peers have a known seniority level
Therapeutic area mix
0 of 378 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.