Statistician at COSTELLO MEDICAL SINGAPORE PTE LTD

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

42000.0

Posted On

16 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Statistical Analysis, R Programming, Data Analysis, Communication Skills, Problem Solving, Attention To Detail, Organizational Skills, Time Management, Team Collaboration, Client Communication, Research Skills, Technical Ability, Initiative, Flexibility, Medical Data Knowledge, Statistical Software

Industry

Business Consulting and Services

Description

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 in early 2026, including February and March, 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. A Day in the Life of a Statistician Learn more about a typical day in the life of a Statistician at Costello Medical: https://www.costellomedical.com/careers/working-at-costello-medical/day-in-the-life-statistician/ Career Profile To learn more about the personal and professional development opportunities at Costello Medical, explore first-hand career profiles from our colleagues about their experiences with the company: https://www.costellomedical.co.uk/careers/working-at-costello-medical/ About 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: https://www.costellomedical.com/ 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. Learn more here: https://www.costellomedical.com/careers/working-at-costello-medical/joining-from-academia/ 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 Please click here to learn about our full reward package and the other benefits of working for Costello Medical: https://www.costellomedical.com/careers/benefits-package-in-the-uk/ 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. The recruitment process begins with a self-recorded video interview which will be reviewed by the Talent Acquisition team. Following this, you will be sent a technical assessment (using R programming) and a proofreading exercise to complete in your own time. If successful, you will be invited to a final interview with senior members of our Statistics team, which includes a short presentation you can prepare for in advance. Our standard recruitment process lasts around 3-4 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, 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. Please read more about the New Entrant criteria: https://www.gov.uk/government/publications/skilled-worker-visa-caseworker-guidance/skilled-worker-caseworker-guidance-accessible#bookmark63 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: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less. Please contact recruitment@costellomedical.com should you have any questions.

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Responsibilities

You will be responsible for devising and performing statistical analysis plans and communicating the methodologies and results to clients in the healthcare sector. This includes working on various statistical analyses across clinical trial data, observational study data, and published aggregate data.