Statistical Programmer I

Launch Your Career in Clinical Data Science – Where Statistics Meets Programming

Are you a recent Maths or Statistics graduate with a passion for data, coding, or statistical analysis? Step into an exciting role that blends both statistics and programming in the world of clinical research.

In this entry-level position, you'll support both statistical and programming teams, with a core focus on statistical tasks. You'll be involved in key stages of clinical trial reporting — helping create datasets, reviewing analysis plans, and generating tables, listings, and figures used in real studies.

What You'll Do:
Contribute to the design and delivery of both derived and CDISC-compliant datasets
Assist in producing key statistical outputs used in clinical trial reporting
Review AI-generated statistical documents for accuracy and alignment with clinical protocols
Learn and apply SAS programming techniques in real-world projects
Work under the guidance of experienced mentors while managing your own tasks and deadlines

What You'll Gain:
Practical experience in both statistics and programming within the clinical research field
Exposure to global data standards (like CDISC) and regulatory practices (such as ICH/GCP)
A strong foundation in clinical trial processes, data integrity, and statistical reporting
Professional development in a supportive and structured environment

This role serves as a strong foundation for a rewarding career at the intersection of data science, healthcare, and innovation.

Quanticate is the world leading data-focused CRO, and we often work with our customers on their complicated clinical trials which require a high level of statistical programming, statistics and data management input. We need talented individuals to help us fulfil our customers' needs.

Our customers range from top global pharmaceutical companies where you can work as an integrated team member on a world leading clinical program, to small biotechs that are taking their first steps in clinical development

We strongly advocate career development providing membership to professional societies, encouraging your involvement in their activities and committees. Together we can help you build the career you want – developing your skills, working on challenging problems, to ultimately develop clinical therapies that matter.

Requirements

Knowledge:

• (Required) Minimally qualified to BSc level in either Statistics or a Mathematics based degree with a high proportion of statistics content.
• (Required) Qualified to MSc level in Statistics or Maths.
• (Desired) Have some relevant experience within the pharmaceutical industry and/or medical sector.
• Understand the principles of statistics and how they pertain to clinical trials.
• Exposure to any programming discipline.

Work Experience:

• No former pharmaceutical industry experience needed

Skills:

• Good statistical skills.
• Exposure to any programming discipline.
• Good PC skills including a working knowledge of the windows environment, Microsoft Office, Microsoft Teams and Virtual conferencing.
• Good written and oral communication skills.
• Proven organisational skills.
• Strong analytical and problem-solving skills

Quanticate will never ask for payments as part of the recruitment or hiring process, and all legitimate correspondence from Quanticate will come exclusively from our domain name. Hiring at Quanticate is based purely on merit and we do not ask or require candidates to deposit any money or complete any paid for courses as part of the process. Further guidance on our recruitment process and tips on how to stay safe during your job search can be found on our website at

Benefits

• Competitive salary
• Six Month Intensive Training Plan
• Flexible working hours
• Holidays (Annual Leave, Sick Leave, Casual Leave and Bank holidays)
• Medical Insurance for self and immediate family
• Gratuity
• Accidental Coverage
• Quanticate offers a variety of different learning development opportunities to help you progress (mentoring, coaching, e- learning, job shadowing)