At a Glance
- Tasks: Conduct statistical analyses and communicate results to healthcare clients.
- Company: Join Costello Medical, a top-rated global healthcare agency focused on improving patient outcomes.
- Benefits: Enjoy flexible working, generous holidays, private medical insurance, and profit share bonuses.
- Why this job: Make a real impact in healthcare while developing your skills in a supportive environment.
- Qualifications: A degree in a scientific or mathematical field with strong statistical knowledge is essential.
- Other info: Opportunities for overseas travel and comprehensive training provided.
The predicted salary is between 36000 - 60000 £ per year.
Overview 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.Responsibilities Devising and performing statistical analysis plans and communicating methodologies and results to clients in the healthcare sector.Requirements 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 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, with the ability to uphold exceptional customer service and quality of deliverables under multiple competing demands.Excellent organisational and time management skills, with 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.Role Details Salary: £42,000 per annumBenefits: 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 moreRole Type: Full-time, permanentLocation: Global Headquarters in Cambridge, and offices in London, Manchester, and BristolStart Date: Early 2026, including March and April; availability to be stated on the application formApplication Deadlines: No set deadlines; role will close when a suitable candidate is foundAbout 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. They 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 real-world data, and published aggregate data using techniques including basic statistics, regression, survival analysis, and Bayesian network meta-analysis with standard and emerging methods.You will work in project teams, receive training on technical aspects, project management and client communication. Delivering project work requires close collaboration with clients; after induction you will participate in client calls and meetings with external stakeholders. Some meetings may require travel outside the UK.Projects span multiple engagements; results may feed into publications, value materials, health economic models, or health technology assessment submissions. You will be exposed to a range of service offerings and therapeutic areas.Hybrid Working Policy We offer flexible working arrangements that allow colleagues who have passed probation to work from home up to half their time, measured over a 2-week rolling period. During probation (normally the first 6 months), you may work from home 1 day per week.A Day in the Life of a Statistician Learn more about a typical day in the life of a Statistician at Costello Medical: see the Careers page for details.Career Profile Explore personal and professional development opportunities at Costello Medical via career profiles from colleagues.About Costello Medical Costello Medical is a global healthcare agency specialising in medical communications, market access and health economics. We work with pharmaceutical and medical technology companies, patient and public health bodies and charities. We have been listed in the Top 100 Best Companies to Work For since 2017 and were accredited by B Corporation in 2022.Visa Sponsorship Due to Skilled Worker visa regulations, eligibility for visa sponsorship includes: New Entrant criteria (including under 26, current UK study, or recent UK graduate) or a PhD in a STEM subject. Details are provided on government guidance and costellomedical.com resources. You will provide right-to-work details on your application.For questions, contact recruitment at costellomedical.com.Note: This role may involve confidential data; applicants should not rely solely on AI to generate application materials.
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Statistician employer: Costello Medical
Contact Detail:
Costello Medical Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician
✨Tip Number 1
Familiarise yourself with the specific statistical software mentioned in the job description, such as R, STAN, and BUGS. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the healthcare sector, especially those who work in statistical roles. Attend industry conferences or webinars to meet potential colleagues and learn more about the latest trends and challenges in healthcare statistics.
✨Tip Number 3
Prepare for client interactions by practising how to explain complex statistical concepts in simple terms. This will not only help you in interviews but also demonstrate your communication skills, which are crucial for this role.
✨Tip Number 4
Stay updated on recent developments in healthcare and medical data analysis. Being knowledgeable about current issues and innovations in the field can help you stand out as a candidate who is genuinely interested in making an impact.
We think you need these skills to ace Statistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the responsibilities of a Statistician at Costello Medical. Emphasise your proficiency in statistical analysis, programming languages like R, and any experience in the healthcare sector.
Craft a Compelling Cover Letter: In your cover letter, clearly explain why you are suited for the role and what attracts you to Costello Medical. Use specific examples from your past experiences to demonstrate your problem-solving skills and ability to communicate complex statistical concepts.
Showcase Your Technical Skills: Since the role requires proficiency in R and possibly other programming languages, mention any relevant projects or coursework where you applied these skills. If you have experience with statistical software or methodologies mentioned in the job description, be sure to include that as well.
Proofread Your Application: Before submitting your application, carefully proofread both your CV and cover letter. Ensure there are no grammatical errors or typos, as excellent written English is essential for this role. Consider asking a friend or mentor to review your documents for clarity and impact.
How to prepare for a job interview at Costello Medical
✨Showcase Your Statistical Skills
Make sure to highlight your proficiency in statistical analysis and programming languages, especially R. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical experience.
✨Communicate Clearly
Since the role involves explaining complex methodologies to clients, practice articulating your thoughts clearly and concisely. Use examples from your past experiences to illustrate how you’ve successfully communicated technical information to non-experts.
✨Prepare for Technical Assessments
Expect a technical assessment during the interview process. Brush up on your R programming skills and be ready to solve problems or analyse data on the spot. Familiarise yourself with common statistical techniques that may be relevant to the role.
✨Demonstrate Team Collaboration
The role requires working closely with project teams. Be ready to share examples of how you've collaborated with others in previous roles, particularly in high-pressure situations. Highlight your ability to adapt and contribute positively to team dynamics.