Statistician in Cambridge

Statistician in Cambridge

Cambridge Full-Time 42000 - 58800 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Conduct statistical analyses and communicate findings to clients in healthcare.
  • Company: Join a top-rated global healthcare agency with a collaborative culture.
  • Benefits: Enjoy a competitive salary, flexible working, generous holidays, and training funding.
  • Why this job: Make a real impact in healthcare by applying your statistical skills.
  • Qualifications: Degree in a scientific or mathematical field; proficiency in R programming.
  • Other info: Great career growth opportunities and a supportive work environment.

The predicted salary is between 42000 - 58800 £ per year.

You will be responsible for devising and performing statistical analysis plans and then communicating the methodologies and results of these to our clients in the healthcare sector.

Salary: £42,000 per annum

Benefits: Discretionary profit share bonuses paid twice per year, hybrid and flexible working options, generous holiday allowance, private medical insurance, critical illness cover, income protection, full funding for external training, and more.

Role Type: Full-time, permanent

Start Date: We are recruiting for start dates in early 2026, including February and March. Please state your availability on the application form.

Application Deadlines: While there are no set deadlines, we recommend applying early. The role will close when a suitable candidate is found.

Location: Global Headquarters in Cambridge, as well as our London, Manchester, and Bristol offices.

About the Role: Our Statistics team provides statistical and analytical expertise across Costello Medical, devising statistical analysis plans and performing data analysis within R, Excel, STAN, and BUGS software. We communicate methodologies and results in written and oral formats to drug and device manufacturers, doctors, and reimbursement agencies such as NICE in the UK. Analyses cover patient‑level clinical trial data, observational study data, and published aggregate data, using techniques like regression analysis, survival analysis, and Bayesian network meta‑analysis. You will work in project teams with colleagues from all specialties to ensure projects are completed to high standards, on time, and in line with client expectations. You will receive training on technical aspects, project management, and client communication. After induction, you may participate in client calls and face‑to‑face meetings, including international visits. Our team typically works on multiple projects simultaneously, and the results feed into publications, value materials, health economic models, or health technology assessment submissions. You will be exposed to a variety of service offerings and therapeutic areas.

Hybrid Working Policy: We offer flexible working arrangements: after probation, you may work from home up to half your time (measured over a 2‑week rolling period). During probation (normally first 6 months), you may work from home 1 day per week.

Requirements: The successful candidate enjoys problem solving and thinks outside the box to develop innovative solutions. In line with our values, you will be passionate about improving patient outcomes by applying statistical knowledge and technical skills in the healthcare industry.

  • Essential Requirements: Undergraduate degree‑level qualification in a scientific or mathematical discipline (minimum 2.1 or equivalent), with a focus on statistics and data analysis. Proficiency in the R programming language and willingness and ability to rapidly develop programming skills. Technical ability and strong written and verbal communication skills to explain complex techniques and results to non‑expert audiences. Willingness to research, test, and recommend new software or techniques that may suit specific projects. Strong accuracy and meticulous attention to detail, along with ability to uphold exceptional customer service and quality of deliverables under competing demands. Excellent organisational and time‑management skills, coupled with flexibility to respond to shifting deadlines. Ability to take initiative and work independently, as well as collaboratively within project teams. Excellent written English, to be assessed during the selection process.
  • Desired Requirements: A Master’s or PhD in a scientific or mathematical discipline. Knowledge of SAS, Stata, SQL, or Python. Strong understanding of medical data, clinical processes, or clinical trials.

Benefits: Insights into our comprehensive benefits package, including: A starting salary of £42,000 per annum, discretionary profit share bonus paid twice per year, 25 days' annual leave plus bank and public holidays, holiday buy and sell scheme, flexible working hours, flexible benefits scheme, private medical insurance with comprehensive cover, paid study leave and funding for external qualifications, critical illness cover, income protection, life assurance, paid and unpaid sabbaticals.

The Application Process: Please submit your CV and cover letter via our online application form. Your cover letter should explain why you are suited to the role and why you want to join Costello Medical, with examples. The process begins with a self‑recorded video interview, followed by a technical assessment (using R programming) and a proofreading exercise. Successful candidates are invited to a final interview with senior team members, including a short presentation. The typical process lasts 3–4 weeks.

As an equal‑opportunity employer, we are committed to fostering a diverse and inclusive workforce and can provide reasonable adjustments.

Visa Sponsorship: Due to Skilled Worker visa regulations, you may be eligible for sponsorship if you meet at least one criterion: New Entrant (under 26, studying in the UK, or recent graduate, among other criteria). PhD in a STEM subject. Provide details of your right to work in the UK.

Statistician in Cambridge employer: Costello Medical

Costello Medical is an exceptional employer, offering a dynamic work environment that prioritises employee growth and well-being. With a generous benefits package including discretionary bonuses, flexible working options, and comprehensive training opportunities, employees are empowered to thrive both personally and professionally. Located in vibrant cities like Cambridge, London, Manchester, and Bristol, the company fosters a collaborative culture that values innovation and inclusivity, making it an ideal place for statisticians passionate about improving healthcare outcomes.
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Contact Detail:

Costello Medical Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Statistician in Cambridge

✨Tip Number 1

Get your networking game on! Connect with professionals in the healthcare and statistics fields on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to reach out for informational interviews. You never know who might have a lead on your dream job!

✨Tip Number 2

Practice makes perfect! Before any interviews, rehearse your responses to common questions, especially those related to statistical methodologies and client communication. We recommend doing mock interviews with friends or mentors to build confidence and polish your delivery.

✨Tip Number 3

Show off your skills! If you’ve worked on interesting projects or analyses, prepare a portfolio or case studies to share during interviews. This will not only demonstrate your expertise but also give you a chance to discuss your thought process and problem-solving abilities.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Costello Medical. Remember, early applications have a better chance of standing out!

We think you need these skills to ace Statistician in Cambridge

Statistical Analysis
R Programming
Data Analysis
Communication Skills
Problem-Solving Skills
Attention to Detail
Organisational Skills
Time Management
Team Collaboration
Technical Aptitude
Knowledge of Clinical Trials
Flexibility
Initiative
Research Skills

Some tips for your application 🫡

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to explain why you're the perfect fit for the Statistician role and what excites you about joining us at Costello Medical. Use specific examples from your experience to back up your claims.

Show Off Your Stats Skills: Since this role involves statistical analysis, don’t shy away from showcasing your proficiency in R and any other relevant software. Mention specific projects or analyses you've worked on that demonstrate your technical skills and attention to detail.

Be Clear and Concise: When writing your CV and cover letter, clarity is key! Avoid jargon and keep your language straightforward. Remember, we want to see how well you can communicate complex ideas in a way that's easy to understand.

Apply Early Through Our Website: We recommend applying as soon as possible since the role will close when we find the right candidate. Head over to our website to submit your application and make sure to include your availability for the start date!

How to prepare for a job interview at Costello Medical

✨Know Your Stats

Brush up on your statistical analysis techniques, especially regression and survival analysis. Be ready to discuss how you've applied these methods in past projects, as this will show your practical experience and understanding of the role.

✨Master R Programming

Since proficiency in R is essential, make sure you can demonstrate your skills during the technical assessment. Practice coding common statistical analyses in R and be prepared to explain your thought process clearly.

✨Communicate Clearly

You'll need to convey complex statistical concepts to non-experts, so practice explaining your work in simple terms. Consider preparing a few examples where you've successfully communicated results to clients or colleagues.

✨Show Your Passion for Healthcare

Demonstrate your enthusiasm for improving patient outcomes through statistics. Share any relevant experiences or projects that highlight your commitment to the healthcare sector, as this aligns with the company's values.

Statistician in Cambridge
Costello Medical
Location: Cambridge

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