PhD Statistician Intern

In this role, you will gain hands‑on experience in critically appraising and interpreting complex statistics, planning and analysing clinical trial data, and synthesising evidence, with one‑to‑one training and mentoring from our experienced Statistics team

Compensation: $24 to $30 per hour depending on experience

Generous vacation leave allowance, flexible working hours and the chance to work from home 1 day per week, access to medical, dental and vision insurance, as well as funded social activities

Role Type: Full‑time, 3‑month internship

Start Date: We are currently recruiting for start dates in Summer 2026 and you will be asked to state your availability on your application form

Location: This role is available in our Boston office

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. The statistical analyses varies 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.

This internship is ideal for both graduates and current students who are looking to gain experience in the field of statistics within a commercial environment. You will be presented with the opportunity to apply techniques learned during your academic training to real‑world problems in healthcare and medical science. You will work on projects involving data analysis and the communication of both methodologies and results in a variety of publications, value materials, health economic models or health technology assessment submissions.

You will typically be working on several projects across a variety of therapeutic areas at any one time, which could include critically appraising and interpreting complex statistical analyses, planning and performing analyses of clinical trial data or synthesising evidence using Bayesian and frequentist (network) meta‑analysis techniques. The results of each analysis can feed into publications, value materials, health economic models or health technology assessment submissions. Interns receive extensive one‑to‑one training on the technical aspects of our statistics work, as well as project management and effective client communication.

Career Prospects After the Internship
During the internship program, individuals performing well may be given the opportunity to extend their internship to 6 months (note that this is dependent on business need). Additionally, there is the opportunity for strong candidates to apply for the Statistician role and join our expanding team on a permanent basis. Many of our Statistician Interns move into a permanent role at Costello Medical.

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:

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. Learn more about us, our work, and our mission on our website:

This internship is suited to recent graduates, as well as current students who are permitted to complete full‑time internships either during the holidays or as a placement as part of their degree. An undergraduate degree‑level qualification in a scientific or mathematical discipline (minimum/expected 2:1 or equivalent) with a focus on statistics and data analysis. A Master’s or PhD would be highly advantageous

Excellent written English

Advanced skills in Excel

A good knowledge of programming, with proficiency in R and an understanding of other similar languages. The ability to use your initiative and work independently, in addition to working collaboratively within project teams

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.

We offer a competitive hourly rate of $24 to $30 per hour, depending on experience, and you will be entitled to pro‑rated vacation days, based on internship length. We are proud to be a certified B Corporation company as this certification is a testament to the exceptional team at Costello Medical and their steadfast commitment to being a force for good. We provide exceptional internal training, opportunities to work on pro bono and charitable projects, and regular company‑funded social activities.

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. 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 timed proofreading assessment and a written assessment to complete in your own time. If successful, you will be invited to an interview with senior members of our Statistics team. 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.

We welcome applications from international candidates, but we are unfortunately unable to provide visa sponsorship for working visas. However, we are able to consider those on a temporary visa, such as an OPT visa.

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