Senior Associate - RWE Obesity Statistical Programming

Career Category

Clinical

Job Description

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.

Amgen is seeking a dedicated Senior Statistical Programmer to join our Center for Observational Research (CfOR) organization, based in Hyderabad, India. This crucial role involves generating Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. The successful applicant 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 Biostatistical Programming Manager.

The Senior Statistical Programmer will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for manipulating large databases and generating reports to partner with 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 four years of relevant career experience in statistical programming. Proficiency in SQL programming and SAS or R programming is required. 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

Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc.

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

Lead and/or participate in the development and review of CfOR policies, SOPs and other controlled documents

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

Participate in the recruitment of programming staff

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)

Manage staff performance and oversee staff assignments and utilization

Basic Qualifications:

Bachelor’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject

AND

With 5 to 8 years of experience and at least four (4) years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting

AND

Experience in SQL, and statistical programming using SAS or R

Preferred Qualifications:

Master’s degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject

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

Experience:

Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials

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: SQL required; SAS or R required; 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 or R

Required: SQL

Preferred: Python

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

Drug development life cycle

Statistics and basic epidemiology: Incidence and prevalence

[Required for Regulatory RWE role]: CDISC (SDTM, ADaM)

Scientific / technical excellence

Oral and written communication, documentation skills

Leadership

Innovation

Teamwork

Problem solving

Attention to detail

Learning mindset

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.

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.

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