Services

Expert support for
regulated R environments.

We work directly with pharma, biotech, and CRO teams to implement reproducible, compliant R infrastructure — from initial setup through regulatory submission.

NOTE
Our services are designed to complement the Reprosia platform — helping teams implement, validate, and get the most from their R infrastructure in regulated settings. Engagements are scoped individually based on your environment, programme stage, and regulatory context. All work is delivered by Ndoh Penn directly.
What we offer

Six areas of
expert support.

01

Regulatory R implementation

End-to-end support for implementing R in GxP environments. This includes validation strategy, standard operating procedures, system validation documentation, and ongoing compliance support tailored to your regulatory obligations.

GxP 21 CFR Part 11 SOPs
02

Reproducibility assessments

Independent review of your R analysis pipeline. We identify reproducibility gaps, undocumented dependencies, and environment risks — and provide a prioritised remediation plan with practical recommendations your team can act on.

Environment audit Risk assessment reproducr
03

Package validation (IQ/OQ/PQ)

Validation of R and R packages to pharmaceutical industry standards. We produce Installation Qualification, Operational Qualification, and Performance Qualification documentation suitable for regulatory review and inspection.

IQ / OQ / PQ FDA EMA
04

Estimand specification

ICH E9(R1) estimand strategy support for your clinical trial programme. From protocol estimand definition through SAP implementation, we help teams build estimand frameworks that are scientifically sound and regulatorily defensible.

ICH E9(R1) SAP estimandr
05

SAS → R migration support

Structured transition from SAS to R in regulated environments. We provide equivalence testing between SAS and R outputs, parallel validation documentation, and migration audit trails suitable for agency review — while maintaining your compliance posture throughout.

Equivalence testing Migration audit Validation bridging
06

Training and upskilling

Tailored training for clinical statistics teams working in R. Topics range from R fundamentals and tidyverse through regulatory compliance, reproducible workflows, ICH E9(R1) estimand implementation, and Bayesian methods for regulated settings.

R training ICH E9(R1) Bayesian methods
How we work

A straightforward
engagement process.

Every engagement starts with a conversation. We scope work carefully, deliver directly, and stay available throughout.

01

Initial conversation

We discuss your environment, programme stage, regulatory context, and what you need to achieve. No obligation.

02

Scoping

We define deliverables, timeline, and approach. Work is scoped to your specific situation — not a fixed package.

03

Delivery

Work is delivered by Ndoh Penn directly. You have a single point of contact with direct expertise throughout.

04

Follow-on support

We remain available after delivery for questions, regulatory queries, or follow-on work as your programme evolves.

Get in touch

Ready to discuss
your project?

Tell us about your environment and what you are trying to achieve. We will get back to you within 48 hours.

Or email team@reprosia.com