Senior Statistical Programmer

Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

Observational research (OR) is an increasingly important component in drug development and commercialization, because in the current environment, there is increased demand for information from OR studies for regulatory and reimbursement authorities. The Center for Observational Research (CfOR) at Amgen partners with teams to generate real world evidence for multiple stakeholders across the product lifecycle. CfOR contributes evidence regarding the frequency and distribution of disease or the clinical burden of disease, the natural history or clinical course of disease, the design of clinical trials, cost and utilization patterns, and the safety and effectiveness of interventions.

What you will do

We are all different, yet we all use our unique contributions to serve patients. This crucial role involves generating Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. This individual contributor programming role will collaborate with teams across multiple time zones to fulfill requests, clarify requirements, escalate issues, and deliver high-quality results. The Senior Statistical Programmer will report to a locally based Manager.

The Senior Statistical Programmer will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for enhancing existing R Shiny applications and providing support for the Atlas web-based application from the OHDSI community. The ideal candidate should possess a bachelor’s degree and have at least four years of relevant career experience in full stack development. Proficiency in R and R Shiny is required, along with a strong working knowledge of HTML, CSS, and JavaScript programming. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential.

• Provide support for the Atlas web-based application from the OHDSI community

• Develop and implement web solutions using HTML, CSS, and JavaScript

• Collaborate with stakeholders to understand their requirements and translate them into technical solutions

• Participate in continuous integration and continuous deployment (CI/CD) processes

• Manage and optimize data workflows to support efficient data processing and analysis

• Maintain clear and effective communication with team members and stakeholders

• Provide technical solutions to programming problems within CfOR

• Lead and develop technical programming and process improvement initiatives within CfOR

• Represent the programming function and participate in multidisciplinary project team meetings

• Project manage all programming activities, according to agreed resource and timeline plans

• Ensure all programming activities on the project adhere to departmental standards

• Provide input to and participate in intra-departmental and CfOR meetings

• Stay updated with R programming trends and integrate new technologies as needed

• Establish coding standards and best practices for R package and R Shiny development

• Optimize performance and refactor code to enhance efficiency and reliability

• Validation and testing software tools.

What we expect of you

• Master’s degree and 1 to 3 years of Computer Science, Information Technology, or a related field OR

• Bachelor’s degree and 3 to 5 years of Computer Science, Information Technology, or a related field OR

• Diploma and 7 to 9 years of Computer Science, Information Technology, or a related field.

Experience:

• Developing and maintaining web applications using R Shiny

• Supporting and enhancing web-based applications in a collaborative environment

• Collaborating with multi-functional teams to deliver technical solutions that meet user requirements

Preferred Qualifications:

• Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model

• Experience working with the OHDSI community and supporting Shiny applications

• Familiarity with Real-World Evidence and its applications in observational studies

Key Competencies

• Required: Proficient in R and R Shiny (Basic)

• Required: HTML (Intermediate)

• Required: CSS (Intermediate)

• Required: JavaScript (Intermediate)

• Preferred: Python (Basic)

• Git workflows using version control

• Continuous Integration and Continuous Deployment (CI/CD)

• Excellent verbal and written communication skills in English

• Ability to have efficient exchanges with colleagues across geographical locations

• Agile project management

• Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare

• OMOP common data model

• Scientific / technical excellence

• Oral and written communication, documentation skills

• Leadership

• Innovation

• Teamwork

• Problem solving

• Attention to detail

• Learning attitude

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with 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 an accommodation