Associate Biostatistical Programming

Let’s do this. Let’s change the world. In this vital role you will collaborate with teams across multiple time zones to fulfill requests, clarify requirements, escalate issues, and deliver high-quality results. The Associate Biostatistical Programmer will report to a locally based Biostatistical Programming Manager.

The Associate Biostatistical Programmer will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for manipulating large databases and generating reports to enable epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelor’s degree and have at least two years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. 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.

Responsibilities:

• Write, test and validate software programs in Unix and Databricks to produce analysis datasets and presentation output such as tables and figures, to be included in reports for submission to regulatory agencies, publications and other communications

• 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

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

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

• Write and/or review and approve all programming plans

• Write and/or review and approve analysis dataset specifications

• Write, test, validate and execute department-, product- and protocol-level macros and utilities

• Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings

• Actively participate in external professional organizations, conferences and/or meetings

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

• Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D)

• Experience in statistical programming using SAS and SQL

• At least two (2) years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

• Bachelor’s degree and 0 to 3 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject OR

• Diploma and 4 to 7 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject

Preferred Qualifications:

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

Experience:

• Strong individual contributor, proficient in developing analysis datasets, identifying data anomalies, and ensuring program accuracy

• Global collaboration on studies to clarify and implement analyses described in Statistical Analysis Plans

• Project fulfillment, statistical programming, issue escalation, results delivery

• Statistical programming: SAS and SQL required; R and Python preferred

• Motivated to learn how to work with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV)

Key Competencies

• Hands-on programming role

• Expert statistical programming knowledge using SAS or R

• Required: SAS

• Required: SQL

• Preferred: R

• Preferred: Python

• Excellent verbal and written communication skills in English

• Ability to have efficient exchanges with colleagues across geographical locations

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

• Scientific / technical excellence

• Oral and written communication, documentation skills

• Leadership

• Innovation

• Teamwork

• Problem solving

• Attention to detail

• Learning mindset

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 and make a lasting impact with the Amgen team.

careers.amgen.com