Statistician

TN United Kingdom; Manchester; Hybrid; GBP 42,000; Full time

Job summary

An innovative healthcare agency is seeking a Statistician to join their dynamic team. This role involves devising and performing statistical analysis plans while communicating methodologies and results to clients in the healthcare sector. As part of a collaborative environment, you will work on diverse projects that impact patient outcomes. The company values creativity and problem-solving, offering comprehensive training and opportunities for professional growth. With a generous benefits package and a commitment to a positive work culture, this position is ideal for those passionate about applying statistical expertise to real-world challenges.

Benefits

Discretionary Profit Share Bonuses

Private Medical Insurance

Flexible Working Hours

Generous Holiday Allowance

Funding for External Training

Critical Illness Cover

Income Protection

Paid Study Leave

Sabbaticals Based on Length of Service

Qualifications

• Strong proficiency in R programming and statistical analysis.
• Ability to communicate complex results to non-experts effectively.

Responsibilities

• Perform statistical analysis and communicate results to clients.
• Collaborate with project teams to ensure high-quality deliverables.

Skills

R Programming

Statistical Analysis

Data Analysis

Communication Skills

Problem Solving

Education

Undergraduate Degree in Scientific or Mathematical Discipline

Master's or PhD in Scientific or Mathematical Discipline

Tools

Excel

STAN

BUGS Software

SAS

Stata

SQL

Python

Job description

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• 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 ourGlobal Headquarters in Cambridge, as well as ourLondon, 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:

Starting 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 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:

Requirements

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 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
• 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:

The 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.

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.