Our Statistics team provide statistical and analytical expertise across Costello Medical, devising statistical analysis plans and performing data analysis within R, Excel, Stan, SQL and BUGS software. They are also responsible for communicating the methodologies and results in both written and oral formats to drug and device manufacturers, and doctors. The statistical analyses vary across patient-level clinical trial data, observational study (real-world) data, and published aggregate data, and involves a range of techniques such as basic statistical analysis of individual patient data, regression analysis, survival analysis and complex Bayesian network meta-analysis using both standard and emerging methods.
The Senior Statistician will lead statistics projects, working very closely with the Consultant or Division Head managing the project, as well as colleagues from all specialties, to ensure that statistics projects are delivered to an exceptionally high standard, on time and in line with client expectations. This involves providing strategic advice to clients at project initiation, supervising the project team and regular interaction with external stakeholders by teleconference, email and in person. The Senior Statistician will also be central to the quality control of the project, involving the review of colleagues' work and the provision of constructive feedback.
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. To read more about our recent articles and publications, please visit our website: https://www.costellomedical.com/research/articles-publications/
You will also play a key role in contributing to business development by developing and maintaining excellent client relationships and identifying opportunities to provide additional services to clients within projects. There may also be opportunities to line manage and mentor our Statistician Interns.
Senior Statisticians are supported to progress to the Consultant Statistician role. Consultant Statisticians manage a range of projects and have full responsibility for client communication on projects, as well as leading budgeting plans and business development efforts. In addition to technical project delivery, Consultant Statisticians line manage team members and have internal responsibilities spanning areas such as recruitment and training.
Hybrid Working Policy: We recognize that home-working can improve work life balance, reduce commuting times and costs, and provide the opportunity to juggle personal commitments. At the same time, 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. Therefore, we offer flexible working arrangements that allow our colleagues to work from home for up to half of the time, measured across a 2-week rolling period.
To learn more about a typical day for a Statistician at Costello Medical, please click here: https://www.costellomedical.com/day-in-the-life/statistician.html
Requirements
We are looking for individuals who are collaborative, self-motivated and enthusiastic, with a strong and demonstrable background in the HEOR sector. You will take pride in producing exceptionally high-quality work and will relish the opportunity to build successful client relationships. You will identify and capitalize on opportunities to go above and beyond for clients and exceed their expectations wherever possible. You will be someone who has a genuine desire to play an active role in the development of our growing team. You will enjoy using your experience to train and mentor others and will be skilled at delivering effective feedback to support your colleague’s professional development.
You will thrive in a fast-paced environment, be highly organized and able to manage timelines across multiple projects. Additionally, you will be willing to step up and support your project team as needed.
This role is suited to those who have professional experience, of typically no less than 2 years, in applying economic and mathematical modelling techniques within an industry setting, ideally within a pharmaceutical, medical devices or consulting company. Specifically, we are looking for candidates with experience:
In addition, essential requirements for the role are:
Desired requirements for the role are:
Benefits
Costello Medical is a rapidly growing global healthcare agency specializing 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 organizations. Our mission is to be a community of the very best people, building trusted partnerships across the healthcare sector by delivering an exceptional service. Our vision is to be a leading global partner consistently striving for meaningful and outstanding contributions that improve people’s health and lives.
We are committed to our company values which are central to creating our fun, friendly and innovative workplace in which we strive to deliver the highest standards of quality. As a result, we have been listed in The Top 100 Companies to Work For list for six consecutive years.
On 27th May 2022 Costello Medical received its certification as a B Corporation. We are really proud of this achievement as it demonstrates that Costello Medical is meeting the highest standards of verified social and environmental performance. We underwent a rigorous assessment that covered the whole of our business including employee benefits, charitable giving and sustainability. We believe this certification is external validation of our mission to be a force for good.
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 read more about this and contact the People Team via [email protected] should you require reasonable adjustments at any stage.
We are currently recruiting for May, June, and July 2024 start dates and you will be asked to state your availability on your application form. Whilst there are no set application deadlines, we strongly recommend applying as early as possible so that we can begin processing your application. The role may close when suitable candidates are found.
Please note that this role is available in our Boston office. You can learn more about our office locations here: www.costellomedical.com/careers/locations
Please click here to learn about our reward package and the other benefits of working for Costello Medical: https://www.costellomedical.com/careers/benefits-package-in-the-us/
You are required to submit your resume 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 resume should clearly state the dates of all qualifications and grades achieved where applicable.
While we embrace Artificial Intelligence (AI) technologies to innovate and improve processes, we want to understand your unique skills and experiences throughout the recruitment process. Therefore, if you use AI to assist with your application, we recommend that you do not rely solely on this technology to generate your application materials. As your role may involve developing new written content from scratch and handling confidential data that cannot be uploaded to AI technology, it is important for us to assess your own skills and abilities.
Please contact the Talent Acquisition team at [email protected] if you have any questions about the role or application process.
We welcome applications from international candidates, but we are unfortunately unable to provide visa sponsorship for working visas. Therefore, you must have the right to work in the US independently from the company. However, we are able to consider those on a temporary visa, such as an OPT visa.
