Contract Statistical R and SAS Programmer in London

Contract Statistical R and SAS Programmer in London

London Temporary 45000 - 60000 € / year (est.) Home office (partial)
Warman O'Brien

At a Glance

  • Tasks: Support statistical programming for clinical trials and collaborate with cross-functional teams.
  • Company: Global pharmaceutical organisation focused on innovative clinical development.
  • Benefits: 12-month contract with competitive pay and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on quality and regulatory compliance.
  • Why this job: Make a real impact in clinical research while working with experienced professionals.
  • Qualifications: Strong SAS programming skills and experience in clinical research required.

The predicted salary is between 45000 - 60000 € per year.

We are supporting a global pharmaceutical organisation in the search for an experienced Statistical Programmer to join a specialist biometrics function on a contract basis for 12 months initially. This role will focus on supporting independent statistical and safety analysis activities across clinical development programmes, working closely with statisticians and cross-functional study teams.

Key Responsibilities

  • Deliver statistical programming support for clinical trial analysis and reporting activities
  • Develop and validate datasets, tables, listings, and figures (TLFs)
  • Support independent safety and statistical analysis workstreams
  • Collaborate with biostatistics and clinical teams to ensure high-quality deliverables
  • Contribute to programming standards, QC processes, and regulatory compliance activities

Required Experience

  • Strong hands-on experience with SAS programming
  • Experience using R within a clinical research or pharmaceutical environment
  • Background in statistics, biostatistics, or statistical programming
  • Experience supporting clinical trial analysis within biotech/pharma/CRO settings
  • Understanding of clinical data standards and reporting requirements

Desirable

  • Experience supporting safety analyses or independent statistical review activities
  • Familiarity with regulatory submission environments
  • Previous experience working within global clinical development teams

Contract Statistical R and SAS Programmer in London employer: Warman O'Brien

Join a leading global pharmaceutical organisation that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact clinical development programmes. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside industry experts in a supportive environment. Located in a vibrant area, this role not only provides meaningful work but also the unique advantage of being part of a team dedicated to advancing healthcare solutions.

Warman O'Brien

Contact Detail:

Warman O'Brien Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Contract Statistical R and SAS Programmer in London

Tip Number 1

Network like a pro! Reach out to your connections in the pharmaceutical and clinical research sectors. Attend industry events or webinars to meet potential employers and showcase your skills.

Tip Number 2

Prepare for interviews by brushing up on your SAS and R programming knowledge. Be ready to discuss specific projects you've worked on, especially those involving statistical analysis and clinical trials.

Tip Number 3

Showcase your experience with datasets and TLFs in your conversations. Highlight how your contributions have led to high-quality deliverables in previous roles, as this will resonate with hiring managers.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can give you an edge over other candidates.

We think you need these skills to ace Contract Statistical R and SAS Programmer in London

SAS Programming
R Programming
Statistical Analysis
Biostatistics
Clinical Trial Analysis
Data Validation
Dataset Development

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with SAS and R programming, especially in clinical settings. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about statistical programming and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!

Showcase Your Collaboration Skills:Since this role involves working closely with statisticians and clinical teams, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you’ve contributed to high-quality deliverables!

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Warman O'Brien

Know Your Stats

Brush up on your statistical programming knowledge, especially with SAS and R. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.

Understand the Role

Familiarise yourself with the key responsibilities outlined in the job description. Think about how your previous experience aligns with delivering statistical programming support and collaborating with biostatistics teams.

Prepare for Technical Questions

Expect technical questions related to clinical trial analysis and data standards. Practise explaining your thought process when developing datasets and TLFs, as this will showcase your expertise and problem-solving skills.

Showcase Collaboration Skills

Since this role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to work within global teams.