Senior Statistician

at Costello Medical
πŸ‡ΊπŸ‡Έ United States - Remote
πŸ“Š Data🟣 Senior

Job description

Role Summary

  • Responsibilities: You will be responsible for leading a range of projects that involve devising and performing statistical analysis plans and then communicating the methodologies and results of these to our clients in the healthcare sector
  • Salary: $95,000 to $102,000, depending on qualifications and previous experience
  • Benefits: Hybrid working options, generous holiday allowance, flexible working hours, private medical and dental insurance, 401K plan, life insurance, full funding for external training, comprehensive travel insurance and more
  • Role Type: Full-time, permanent
  • Start Date: We are currently recruiting for start dates throughout 2025 and you will be asked to state your preference on your application form
  • Location: This role is available in our Boston office

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, 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. Our work 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 Team Lead as well as colleagues from all specialities, 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.

Career Progression

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.

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

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 capitalise 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 organised 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:

  • Working directly with clients from project initiation to completion
  • Leading a project team, including delegating tasks and managing the time of others coupled with the ability to manage timelines across multiple projects at once and the flexibility to respond to changing deadlines
  • Communicating directly with clients including responding to different communication styles, as well as a proven ability to build robust and sustainable client relationships

In addition, essential requirements for the role are:

  • A degree level or higher qualification in a scientific or mathematical discipline (minimum GPA 3.3) is required. A focus on statistics and data analysis is essential
  • The technical and mathematical ability, coupled with exceptional written and oral communication skills, to explain complex techniques and results to non-experts, and to teach and mentor others in the Statistics team
  • An excellent understanding of and extensive experience in the R programming language, and the willingness and ability to rapidly develop your programming skills
  • A willingness to trial, explore or recommend new software or techniques that may suit specific projects
  • Exceptional attention to detail and a high degree of accuracy in technical and written work, along with the ability to maintain exceptional customer service and the quality of deliverables under multiple competing demands
  • The ability to use your initiative and work independently, in addition to working collaboratively within project teams
  • Excellent written English is fundamental; this will be assessed during the selection process

Desired requirements for the role are:

  • A Masters degree or PhD in a scientific or mathematical discipline
  • Experience with Stan, Python, SQL, or other programming languages used for data analysis
  • Awareness of data standards for clinical research and statistical analysis (e.g. CDISC, SDTM, ADaM, ICH Statistical Principles for Clinical Trials)

What We Offer

  • A starting salary of $95,000 to $102,000 per annum, depending on your qualifications and previous experience
  • A discretionary profit share bonus paid twice per year
  • Private medical insurance with a company contribution
  • Dental and vision cover
  • 23 days’ vacation leave increasing by 1 day to a maximum of 27 days. 6 public holidays plus 1 floating holiday
  • The chance to work from home for up to half of your working time
  • Retirement savings via a 401k plan
  • Paid funding for external education and study leave
  • Life insurance
  • Comprehensive travel insurance
  • Flexible and reasonable working hours
  • Regular company-funded social activities

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/

The Application Process

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.

Then, our recruitment process includes a telephone interview with a member of the Talent Acquisition team, followed by an assessment for 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 1 month, 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: https://www.costellomedical.com/reasonable-adjustments/

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

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.

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Costello Medical

  • 201-500 employees
  • Founded in 2008
  • 2 remote jobs

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