Statistician in Manchester

Statistician in Manchester

Manchester 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 the healthcare sector.
  • Company: Join a rapidly growing global healthcare agency with a collaborative culture.
  • Benefits: Enjoy a competitive salary, flexible working options, generous holiday allowance, and private medical insurance.
  • Why this job: Make a real impact in healthcare by applying your statistical skills to improve patient outcomes.
  • Qualifications: Degree in a scientific or mathematical discipline, proficiency in R, and strong communication skills.
  • Other info: Opportunities for professional development and overseas travel, with a supportive team environment.

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

Responsibilities: 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 currently recruiting for start dates in early 2026, including March and April, and you will be asked to state your availability on your application form.

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

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

About the Role: Our Statistics team provide statistical and analytical expertise across Costello Medical, devising statistical analysis plans and performing data analysis within R, Excel, Stan and BUGS software. They are also responsible for communicating the methodologies and results in both written and oral formats to drug and device manufacturers, doctors and reimbursement agencies such as NICE in the UK. The statistical analyses vary across patient-level clinical trial data, observational study (real-world) data, and published aggregate data. Our work involves a range of techniques such as basic statistical analysis of individual patient data, regression analysis, survival analysis and Bayesian network meta-analysis using both standard and emerging methods.

You will work in project teams alongside colleagues from all specialities to ensure that statistics projects are completed to an exceptionally high standard, on time, and in line with client expectations. You will receive training on the technical aspects of the role, as well as project management and effective client communication. Delivering project work requires close collaboration with clients and, following a successful induction period, you will increasingly participate in client calls and face-to-face meetings with external stakeholders. Some client meetings and congresses take place outside the UK, which presents opportunities for overseas travel.

Our team typically work on several projects at one time, and the results of each analysis can feed into publications, value materials, health economic models, or health technology assessment submissions. You will therefore be exposed to a variety of our service offerings and a broad range of therapeutic areas.

Hybrid Working Policy: We believe that having face-to-face time in the office holds many benefits and is central to ensuring that the community we have created, where people have a workplace they belong to and feel part of, is never lost. At the same time, we recognise that homeworking can improve work life balance, reduce commuting times and costs, and provide the opportunity to juggle personal commitments. Therefore, we offer flexible working arrangements that allow our colleagues who have passed probation to work from home up to half their time, measured across a 2-week rolling period. During your probationary period (normally the first 6 months of the role), you will be able to work from home 1 day per week.

The successful candidate will be someone who enjoys problem solving and thinking outside the box to develop innovative solutions. In line with the company’s values, you will be passionate about improving patient outcomes by applying your statistical knowledge and technical skills to the healthcare industry.

Essential requirements for the role are:

  • An 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 the willingness and ability to rapidly develop your programming skills
  • The technical ability, coupled with strong written and verbal communication skills, to explain complex techniques and results to non-expert audiences
  • A willingness to research, test, and recommend new software or techniques that may suit specific projects
  • Strong accuracy and meticulous attention to detail, along with the ability to uphold exceptional customer service and quality of deliverables under multiple competing demands
  • Excellent organisational and time management skills, coupled with the flexibility to respond to shifting deadlines
  • The ability to take initiative and work independently, as well as collaboratively within project teams
  • Excellent written English, which will be assessed during the selection process

Desired requirements for the role are:

  • A Master’s or PhD in a scientific or mathematical discipline
  • Knowledge of SAS, Stata, SQL, or Python
  • A strong understanding of medical data, clinical processes, or clinical trials

Joining Costello Medical from Academia: At Costello Medical, we warmly welcome applicants from academia who are looking to transition into a role within a commercial, industry-based setting. We understand the unique perspectives and valuable skills that academic professionals bring to our team. To support your career change, we offer comprehensive training, mentorship programs, and a work culture that fosters collaboration, growth and innovation. We are committed to facilitating a smooth transition and helping you thrive in an industry-based setting.

We Offer: Alongside our award-winning company culture, where every team member is celebrated, respected, and has their voice heard, we are proud to offer a comprehensive benefits package that includes:

  • A starting salary of £42,000 per annum, as well as a discretionary profit share bonus paid twice per year
  • 25 days’ annual leave plus

Statistician in Manchester employer: Costello Medical, Inc.

Costello Medical is an exceptional employer, offering a vibrant work culture that prioritises collaboration and innovation within the healthcare sector. With generous benefits including flexible working options, comprehensive training, and a commitment to employee growth, our team members thrive in an environment that values their contributions and fosters professional development. Located in the heart of Cambridge, alongside offices in London, Manchester, and Bristol, we provide unique opportunities for meaningful work that directly impacts patient outcomes.
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Contact Detail:

Costello Medical, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Statistician in Manchester

✨Tip Number 1

Get to know the company inside out! Research Costello Medical's projects and values so you can tailor your conversations during interviews. This shows you're genuinely interested and helps you connect with the team.

✨Tip Number 2

Practice your communication skills! Since you'll be explaining complex statistical methods to clients, it’s crucial to articulate your thoughts clearly. Try explaining your past projects to friends or family who aren’t in the field.

✨Tip Number 3

Network like a pro! Attend industry events or webinars related to healthcare and statistics. This not only helps you meet potential colleagues but also gives you insights into current trends and challenges in the field.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest updates and opportunities directly from us.

We think you need these skills to ace Statistician in Manchester

Statistical Analysis
R Programming
Data Analysis
Communication Skills
Project Management
Attention to Detail
Organisational Skills
Time Management
Problem-Solving Skills
Technical Aptitude
Knowledge of SAS
Knowledge of Stata
Knowledge of SQL
Knowledge of Python
Understanding of Clinical Trials

Some tips for your application 🫡

Show Off Your Stats Skills: Make sure to highlight your statistical analysis experience in your application. We want to see how you've used R or other tools to tackle real-world problems, especially in healthcare!

Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor them to reflect the specific requirements of the Statistician role. Mention your passion for improving patient outcomes and how your skills align with our mission.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate strong written communication skills, so make sure your application is well-structured and free of jargon that might confuse non-experts.

Apply Early!: We recommend applying as soon as you can. The sooner we see your application, the better! Head over to our website to submit your application and join our amazing team.

How to prepare for a job interview at Costello Medical, Inc.

✨Know Your Stats

Brush up on your statistical knowledge and be ready to discuss specific techniques like regression analysis or Bayesian methods. Make sure you can explain these concepts in simple terms, as you'll need to communicate complex ideas to clients who may not have a technical background.

✨Showcase Your Programming Skills

Be prepared to talk about your experience with R and any other programming languages you know, like Python or SQL. If you've worked on relevant projects, share examples that highlight your ability to analyse data effectively and how you’ve used these skills in real-world scenarios.

✨Demonstrate Communication Skills

Since the role involves client interaction, practice explaining your past work and methodologies clearly and concisely. You might even want to prepare a short presentation or summary of a project you've worked on to showcase your ability to communicate results effectively.

✨Emphasise Teamwork and Flexibility

Highlight your experience working in teams and managing multiple projects simultaneously. Be ready to discuss how you adapt to changing deadlines and collaborate with colleagues from different specialities to achieve project goals.

Statistician in Manchester
Costello Medical, Inc.
Location: Manchester

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