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- 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.
This range is provided by Costello Medical. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
- 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 have start dates available from Summer 2025 onwards, including July, August, September and October
- Application Deadlines: Whilst there are no set application deadlines, we strongly recommend applying as early as possible. The role, or particular start dates, may close when suitable candidates are found
- Location: This role is available in our Global Headquarters in Cambridge, as well as our London, Manchesterand Bristol offices
- 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 have start dates available from Summer 2025 onwards, including July, August, September and October
- Application Deadlines: Whilst there are no set application deadlines, we strongly recommend applying as early as possible. The role, or particular start dates, may close when suitable candidates are found
- Location: This role is available in our Global Headquarters in Cambridge, as well as our London, Manchesterand 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 in the technical aspects of the role, project management skills 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 wide variety of our service and a broad range of therapeutic areas.
A Day in the Life of a Statistician
To learn more about a typical day for a Statistician at Costello Medical, please click here: Your Career as a Statistician
Andrei, a Senior Statistician at Costello Medical, has written an article for the University of Cambridge where he shares his experiences of studying Mathematics at university and seeking a role where he could use his mathematical skills for good, which led him to Costello Medical: Costello Medical
Costello Medical is a rapidly growing global healthcare agency specialising in medical communications, market access and health economic and outcomes research. We work with a wide range of clients, including the industry\’s most successful pharmaceutical and medical technology companies, patient and public health bodies and charitable organisations. We have been listed in the Top 100 Best Companies to Work For list since 2017 and were proud to receive B Corporation accreditation in 2022. Learn more about us, our work, and our mission on our website: About You
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 or higher 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 and mathematical ability, coupled with the written and oral communication skills, to explain complex techniques and results to non-experts
- A willingness to trial, explore or recommend new software or techniques that may suit specific projects
- A high degree of accuracy and attention to detail, along with the ability to maintain a high level of customer service and the quality of deliverables under multiple competing demands
- A high level of organisation, with the flexibility to respond to changing deadlines
- The ability to use your initiative and work independently, in addition to working collaboratively within project teams
- Excellent written English, which will be assessed during the selection process
Desired requirements for the role are:
- A Masters or PhD in a scientific or mathematical discipline (minimum 2.1)
- Experience with SAS, Stata, SQL or Python
- Experience in and/or knowledge of medical data, clinical processes or trials
Joining Costello Medical from Academia
At Costello Medical, we warmly welcome applicants from academia who are looking to transitioning 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.
Many of our team members have successfully made this transition, and they share how their expertise has been transformed into fulfilling, impactful careers with us. Learn more here: What 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 which includes:
- A starting salary of £42,000 per annum, depending on your previous experience, as well as a discretionary profit share bonus paid twice per year. Please note that we have established salary bands that ensures a fair and consistent approach for all applicants, eliminating the need for individual negotiations
- 25 days\’ annual leave plus bank and public holidays, as well as a holiday buy and sell scheme
- Flexible working hours and the chance to work from home for up to half of your working time after passing probation
- Flexible benefits scheme offering cash payments, additional pension contributions and more
- Private Medical Insurance which offers comprehensive cover on a \”medical history disregard\” basis
- Paid study leave and funding for external qualifications
- Critical Illness Cover, Income Protection and Life Assurance
- Paid and unpaid sabbaticals based on length of service
Please click here to learn about our full reward package and the other benefits of working for Costello Medical: Application Process
You are required to submit your CV and a cover letter via our online application form. In your cover letter, you must explain why you think you would be suited to the role and why you would like to join Costello Medical, with examples to support both. Your CV should clearly state the dates of all qualifications and grades achieved where applicable.
Then, our recruitment process includes a telephone interview with a member of our Talent Acquisition team. Following this, you will also be sent a technical assessment, using R programming, and a proofreading exercise that we ask you to complete in your own time. If successful, you will be invited to an interview which will include a short presentation you can prepare for in advance. Our standard recruitment process lasts around 6 weeks, however, this can be adapted if necessary.
As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide. Please click here to learn more.
Please note that, whilst we embrace AI to innovate and improve processes, your role may involve confidential data that cannot be uploaded to AI. Therefore, it is important for us to assess your own skills and abilities, so we recommend that you do not rely solely on this technology to generate any application materials.
Visa Sponsorship
Due to the Skilled Worker visa regulations, you will only be eligible for visa sponsorship if you meet at least one of the following criteria:
- You are classified as a New Entrant. This means you are under the age of 26, currently studying in the UK or a recent graduate in the UK (Please read more about the New Entrant criteria:
- You have a PhD in a STEM subject
You will be asked to provide details of your right to work in the UK within your application, which will be used to help assess your eligibility for visa sponsorship.
Please check the following link to read more about the criteria on the UK government website: Please contact should you have any questions.
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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.
