Statistician

Costello Medical, Inc.; West of England; Hybride; GBP 38 000 - 46 000; Plein temps

Avantages offerts par ce poste

Discretionary profit share bonuses

Hybrid and flexible working options

Generous holiday allowance

Private medical insurance

Critical illness cover

Income protection

Full funding for external training

Visa sponsorship

Résumé du poste

Costello Medical is seeking a statistician to devise and execute statistical analysis plans across patient-level and real-world data. You will use R, Stan and BUGS to analyze data and clearly communicate methods and results to healthcare clients.

You will work in project teams, with training provided in technical and project management skills. Some client meetings and overseas travel may be required as you build trusted relationships with stakeholders.

Qualifications

• Undergraduate degree in a scientific or mathematical discipline (minimum 2.1 or equivalent).
• Proficiency in R and rapid ability to develop programming skills.
• Strong written and verbal communication to explain complex techniques to non-experts.
• Willingness to research, test, and adopt new software or techniques for projects.
• Strong accuracy and attention to detail with client-facing deliverables.

Responsabilités

• Devising and performing statistical analysis plans.
• Communicating methodologies and results to clients in healthcare.
• Collaborating in project teams to ensure high-quality outputs on schedule.
• Interacting with clients during calls and meetings, including overseas travel when required.
• Contributing to multiple projects that feed into publications and health technology submissions.

Connaissances

Statistical analysis

R

Communication

Problem solving

Data analysis

Formation

Undergraduate degree in science or mathematics

Master’s or PhD in scientific or mathematical discipline

Outils

R

Stan

BUGS

Excel

SAS

Stata

SQL

Python

Description du poste

Role Summary

• 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 from January to March 2027, which will occur on a monthly basis, 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. This role will close when suitable candidates are found
• Location: This role is available in ourGlobal Headquarters in Cambridge, as well as our, 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.

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 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 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.

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 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 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

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 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, which includes applicants who are under the age of 26, currently studying in the UK, or a recent graduate in the UK, amongst other qualifying criteria.

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 contact [e-mail] should you have any questions.