Job Description

Overview:

Phastar is a multiple award-winning global biometric Contract Research Organization (CRO) that is accredited as an outstanding company to work for by Best Companies. We partner with pharmaceutical, biotechnology and medical device organizations to provide the expertise and processes to manage and deliver on time, quality biostatistics, programming, data management and data science services. With offices across the UK, US, Germany, Denmark, Kenya, Australia, India, China and Japan, Phastar is the second largest specialized biometrics provider globally, and the largest in the UK.

Our unique approach to data analysis, "The Phastar Discipline", has led us to build a reputation for outstanding quality. With this as our core focus, we're looking for talented individuals who share our passion for quality and technical expertise to join our team.

WHY PHASTAR

Accredited as an outstanding company to work for, Phastar is committed to employee engagement, workplace satisfaction and ensuring a healthy work-life balance. We offer flexible working, part-time hours, involvement in developing company-wide initiatives, structured training and development plans, and a truly supportive, fun and friendly environment.

What's more, when you join our team, Phastar will plant a tree in your honour, as one of our Environmental, Social and Governance (ESG) initiatives. So, not only would you get your dream job, you'll also be helping to save the planet!

THE ROLE

We are seeking a clinical programmer with 8+ years of SAS experience who has successfully transitioned to R programming, particularly in developing interactive applications with R Shiny. The ideal candidate will bridge legacy clinical trial systems with modern open-source solutions while maintaining compliance with CDISC standards (SDTM, ADaM) and regulatory requirements.


In this role, you will be responsible for clinical programming and data conversion in this role, focusing on modernizing legacy systems. Key responsibilities include converting existing SAS programs used for SDTM and ADaM datasets, as well as Tables, Listings, and Figures (TLFs), into R Packages. The position also involves developing parameterized R Markdown reports and interactive Shiny dashboards to enhance clinical data visualization and reporting. Additionally, the candidate will design and implement CDISC-compliant data pipelines using both R and SAS, employing PROC SQL and MACROS to ensure efficient and standardized data processing.

This position is remote (although it can be office-based or hybrid, depending on your location) and will involve occasional travel to events throughout the year.
Responsibilities:
Convert legacy SAS programs for SDTM/ADaM datasets and TLFs to R Develop parameterized R Markdown reports and Shiny dashboards for clinical data visualization Implement CDISC-compliant data pipelines using both R and SAS (PROC SQL, MACROS) Create bidirectional SAS-R validation frameworks using various packages Maintain hybrid codebases supporting parallel SAS/R execution for phased migrations Develop Shiny modules replicating SAS Enterprise Guide workflows for stakeholder adoption Execute Pinnacle 21 validation checks on R-generated SDTM datasets Implement R equivalents of SAS clinical macros # Document conversion processes using roxygen2 and SAS-to-R crosswalk matrices Train SAS teams in R programming through paired coding sessions Interface with Biostatistics to transition SAS PROC MIXED models Support regulatory submissions with dual-format (SAS XPT/RDS) datasets

Qualifications:
Clinical SAS experience (PROC SQL, MACROS, ODS) R- Programming & R-shiny Portfolio demonstrating SAS-to-R conversions SDTM/ADaM implementations TLF generation Clinical data checks & Deep understanding of: Clinical trial protocols, MedDRA/WHODrug coding in both languages, & SAS-R data type reconciliation Python Coding is a plus.

APPLY NOW

With the world's eyes focused on clinical trial data, this is a fantastic time to join an award-winning specialized biometric CRO that is renowned for its technical expertise, outstanding quality, and cutting-edge data science techniques. We offer flexible working, part-time hours, structured training and development plans, continuous learning opportunities, and a competitive salary and benefits package. We're committed to ensuring our employees achieve a healthy work-life balance, within a supportive, fun, and friendly working environment.

Should you feel that you have the right skill set and motivations for this position, please apply! Please note that we are considering candidates located anywhere in the UK & selected European countries as this role can be carried out remotely. Phastar is committed to the principles and practices of equal opportunities and to encouraging the establishment of a diverse workforce. It is our policy to employ individuals on the basis of their suitability for the work to be performed and their potential for development, regardless of age, sex, race, colour, nationality, ethnic or national origin, disability, marital status, pregnancy or maternity, sexual orientation, gender reassignment, religion, or belief. This includes creating a culture that fully reflects our commitment to equal opportunities for all.

Important notice to Employment businesses/Agencies Phastar does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Phastar's Head of Talent Acquisition to obtain prior written authorization before referring any candidates to Phastar. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and Phastar. In the absence of such written authorization being obtained, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of Phastar. Phastar shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.