Data Scientist

Role Summary

• Responsibilities: You will be responsible for leveraging machine learning and natural language processing expertise within the healthcare sector to support data science initiatives, expand service offerings, manage and build databases, and support real-world evidence projects using electronic medical records and data visualisation
• Salary: £48,000 to £55,000 per annum, depending on your previous experience
• Benefits: Discretionary profit share bonuses, hybrid working options that allow you to work from home up to 50% of your time after passing probation, generous holiday allowance, flexible working hours, employer pension contributions, comprehensive travel insurance, private medical insurance, critical illness cover, income protection, full funding for external training, interest-free travel loan scheme, discounted gym memberships, and more
• Role Type: Full-time or part-time (minimum 22.5 hours per week), permanent or 1 year fixed-term contract
• Start Date: We are currently recruiting for start dates throughout 2025, and you will be asked to state your availability on your application form
• Location: This role is available in our Global Headquarters in Cambridge, as well as our London office

About the Role

Are you an experienced Data Scientist who wants to apply their expertise in machine learning and natural language processing (NLP) to the healthcare space? This is a newly created role for our first Data Scientist to join our rapidly growing Evidence Development team, with the opportunity to shape and drive forward our service offerings to clients.

This role will be cross-functional, working predominantly with our Statistics, Literature Reviews and Synthesis, Technical Innovation and Development (TechDev) and Real-World Evidence (RWE) teams on a variety of project types. Your key responsibilities will include:

1. Supporting Data Science Initiatives:

• Assist with the setup and implementation of data science techniques across various business applications

2. Expanding Service Offerings:

• Use machine learning to help us explore and develop new types of projects for our clients
• Support the team with evidence synthesis using AI

3. Building and Managing Databases:

• Collaborate with the RWE team to create an internal data directory
• Develop databases and tools to facilitate data management
• Work with the TechDev team to build a literature management platform

4. Supporting Real-World Evidence Projects:

• Help clients identify relevant study subjects using data from electronic medical records
• Assist with the visualisation of healthcare data

Our standard working week is 37.5 hours, Monday to Friday, however, we can also consider applicants looking for part-time hours of at least 22.5 hours per week.

Hybrid Working Policy: We recognise 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 who have passed probation to work from home for up to half of the 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 for 1 day per week.

Requirements

About You

We are seeking a collaborative, self-motivated, and innovative Data Scientist with a strong background in a quantitative discipline and work experience in the field. You will excel in various programming languages and data visualisation tools and have a genuine interest in leveraging data to drive insights in the healthcare sector.

Essential requirements for the role are:

• A degree level or higher qualification in a data science, statistics or related quantitative discipline (minimum 2.1)
• 2 years of experience working in a professional data science role, or 3 years research experience in the data science field
• Expertise in programming languages (e.g. Python, R, SQL), as well as programming for web development (e.g. JavaScript, HTML, CSS)
• Experience with version control in Git, and other data science related tools (e.g. Shiny, D3, AWS, dbt)
• Experience with the design and development of machine learning models and algorithms
• Knowledge of natural language processing techniques
• The ability to process large volumes of structured and unstructured data
• Experience with statistical/analytical methodologies and algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing)
• Experience working with, and the ability to implement, sophisticated data visualisation libraries such as Matplotlib and Plotly in Python
• A passion for working in the healthcare space, with an interest in utilising your data science skills to make meaningful contributions to projects that improve people’s health and lives
• The ability to work closely with clients to thoroughly understand their technical requirements and collaboratively develop tailored solutions that meet and exceed project goals, ensuring high levels of client satisfaction and successful project outcomes

Desired requirements for the role are:

• Experience working with healthcare data
• Experience in a client-facing role
• Experience in implementing new processes and systems to support the integration and application of data science approaches
• Experience with PowerBI or Tableau

Benefits

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. 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 seven 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.

The Recruitment Process

Our recruitment process includes a telephone or video interview for you to complete in your own time. If successful, you will be invited to an interview which will include a short presentation of your portfolio to the panel. 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. 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 start dates throughout 2025, which occur on a monthly basis. You will be asked to state your availability on your application form. Please note that this role is available in our Global Headquarters in Cambridge as well as our London office. You can learn more about our office locations here: www.costellomedical.com/careers/locations

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 will close when a suitable candidate is found.

Please note that this role is available in our Global Headquarters in Cambridge as well as our London office. You can learn more about our office locations here: www.costellomedical.com/careers/locations

What We Offer

• £48,000 to £55,000 per annum, depending on your previous experience
• A discretionary profit share bonus paid twice per year
• 25 days’ annual leave plus bank and public holidays
• The chance to work from home for up to half of your working time after passing probation
• Flexible benefits scheme offering additional holiday, cash payments and pension contributions
• 4% employer pension contributions
• Private Medical Insurance which offers comprehensive cover on a “medical history disregard” basis
• Paid study leave and funding for external qualifications
• Cycle to Work scheme and an interest-free travel loan scheme
• Critical Illness Cover, Income Protection and Life Assurance
• Access to an Employee Assistance Programme
• Discounted gym memberships
• Comprehensive travel insurance
• Flexible 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-uk/

How to Apply

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.

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.

Visa Sponsorship

We can provide visa sponsorship for eligible candidates for our Data Scientist role. You will be asked to provide details of your right to work in the UK within your application, however this will have no impact on the processing of your application.