Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Statistical Programmer

Blue Earth Diagnostics
Oxford
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Principal Data Scientist

Senior Principal Data Scientist

Principal Product Data Scientist

Principal Product Data Scientist

Data Science Principal

Data Science Principal

Job purpose

Reporting to the Director of Biometrics, the Principal Statistical Programmer will primarily oversee the development and execution of all programming activities at Blue Earth Diagnostics. They must possess extensive experience and proven skills in the use of Statistical Analysis System (SAS) within a clinical Programming environment and have a complete knowledge and understanding of programming processes and procedures.


The Principal Statistical Programmer will be involved in reviewing Clinical Data Interchange Standards Consortium (CDISC) submissions for Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) packages provided by third party vendors and the generation of quality check (QC) datasets, tables, listings and figures (TFLs) for internal evaluation, discussion and publications. They will also lead the development of a new Statistical Computing Environment (SCE) for programming activities and establish and develop internal standards for case report forms (CRFs), SDTM and ADaM data. This role will also include the development of current in-house macros and establishing new in-house macros for the SCE. Additionally, this role will involve the review of clinical study protocols (CSPs), statistical analysis plans (SAPs), clinical study reports (CSRs) and data management (DM) documentation for Blue Earth Diagnostics sponsored or managed clinical trials, where required.


Main Responsibilities, Activities, Duties and Tasks

  • Fulfil the role of lead statistical programmer on in-house clinical trial project work as part of the biometrics team.
  • Support the data review in clinical studies where programming is outsourced to a contract research organization (CRO) (i.e., TFLs, CDISC data {SDTM and ADaM} and data submission packages {e.g., define.xml, Pinnacle21, Data Reviewer Guides}).
  • Development of a new SCE for statistical programming activities.
  • Creation/review of standard operating procedures related to programming.
  • Establish and develop internal SAS programming macros.
  • Establish and develop internal standards for CRFs, SDTM and ADaM data.
  • Develop and validate technical programming specifications for analysis datasets using ADaM/ADaM-like standards.
  • Review of CSPs, SAPs, TFL Shells, and CSRs.
  • Review of database setup documents in clinical study setup (e.g., DM Plans, CRFs, Database Specifications, Edit Check Specifications).
  • Provide internal Biometrics trainings to other functions within Blue Earth Diagnostics as required.
  • Other duties as determined by business needs.


Education

BSc (Hons) Computer Science or a related field


Professional Experience, Knowledge & Technical Skills

Extensive experience as a statistical programmer in a CRO or in the pharmaceutical/biotechnology industry

In-depth understanding of SAS programming concepts, good programming practices and techniques related to drug development

In-depth understanding of CDISC Standards

In-depth understanding of the drug development process, including experience with regulatory filings

Proficient understanding of DM processes and documentation

Knowledge of Good Clinical Practice (GCP) regulations/requirements

  • Oncology and diagnostic imaging experience
  • Machine learning and artificial intelligence (AI), i.e., future evolving technologies as and when they become more relevant to the Life Sciences Industry


Soft Skills –Company Values & Behaviours

Ability to work in a high paced team environment, meet deadlines, & prioritize work on multiple projects

Ability to accurately estimate effort required for project related programming activities.

Experience and skills with cross-functional and highly matrixed organizations.

Excellent oral & written communication skills.

Strong coaching, facilitation, and organizational skills

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.