Job overview
The Compassionate Medicines Programme (CMP) at GOSH was recently launched with the support of a Great Ormond Street Hospital (GOSH) charity grant. At GOSH we care for some of the sickest children in the UK, many with rare diseases that have no proven or commissioned treatments. For these children and their families, access to innovative medicines can mean the difference between life, death or lifelong disability. Yet too often, effective medicines available to adults are not licensed or funded for children, leaving them with limited options. This programme will both protect access to lifesaving drugs and develop
an infrastructure to maximise the information we get from these treatments.
As a Data Scientist at Great Ormond Street Hospital (GOSH), you will work with the pharmacy and the Digital Research Environment (DRE) teams using GOSH electronic patient record (EPR) data to design and conduct studies that have the potential to improve patient care. The work will be primarily within the CMP but may also include other projects that are relevant to CMP.
Main duties of the job
You will mostly focus on working within the evidence generation workstream and Real World Evidence (RWE), developing studies using advanced statistical and causal inference techniques to answer questions on efficacy and safety of medicines in children using Electronic Health Record (EHR) datasets. Together with the co-leads for other workstreams, you are expected to develop a process for research questions around the use of medicines within CMP to be assessed and for the process to then be implemented as future routine practice.
This is an exciting opportunity to work on a novel and innovative programme and to be at the forefront of evidence generation within research for paediatrics. A large part of the research will be using electronic health records which requires a candidate with advanced data science and research skills. Please see the job description and person specification for more details.
Working for our organisation
We are committed to recruiting the best person for the job through a fair, open and consistent process that is free from bias and discrimination.
We are working towards becoming an anti-racist organisation. This means creating a workplace where every colleague feels seen, heard and valued, and where racism in any form has no place. Our anti-racism commitment is backed by action through our Anti-Racism Statement and action plan, developed in collaboration with our REACH staff network.
We actively challenge discrimination, dismantle barriers and embed equity across all aspects of our workforce, including recruitment, progression and development. All applicants will receive equal consideration regardless of race, ethnicity, nationality, religion or belief, sexual orientation, gender identity, age, disability, health condition or employment history.
We particularly welcome applications from ethnically diverse communities, people with disabilities or long-term health conditions, and LGBTQ+ community members. We are proud to be a Disability Confident Employer, a member of the Business Disability Forum, and a Stonewall Diversity Champion.
Our staff networks, including REACH, PRIDE, ENABLED and Women’s Networks, are active and executive supported. These employee-led networks play a vital role in shaping an inclusive culture at GOSH and are open to all colleagues.
Together, we are building a culture where inclusion is not optional - it is essential.
Detailed job description and main responsibilities
The full job description provides an overview of the key tasks and responsibilities of the role, and the person specification outlines the qualifications, skills, experience and knowledge required. For both documents please view the attachment/s below.
Person specification
GOSH Values
Essential criteria
- GOSH Values
Academic/Professional qualification/Training
Essential criteria
- Educated to degree level in a computer science, mathematical, science-based or relevant subject
- Post graduate qualification or equivalent relevant experience
- Strong analytical skills
Experience/Knowledge
Essential criteria
- Experience of programming tools such as R, Python, SQL for statistical analytics and modelling
- Experience of statistical analysis and application to EHR data
- Experience of using data analytics in academic research projects
Desirable criteria
- Experience of using Electronic Health Data to develop models of disease outcomes
- Knowledge of medical terminology
- Experience of project management and/or version control ( git, agile development, issue tracking)
Skills/Abilities
Essential criteria
- Excellent organisational and planning skills, including prioritising to achieve deadlines under pressure and with frequent interruptions
- Excellent written, verbal and presentation skills with the ability to communicate complex information to staff at all levels
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Data Scientist employer: Great Ormond Street Hospital
Great Ormond Street Hospital is an exceptional employer, renowned for its commitment to providing high-quality care to children and families. With a strong focus on professional development, the hospital offers numerous opportunities for staff growth and advancement within a supportive and collaborative work culture. Located in the heart of London, employees benefit from a vibrant environment that fosters innovation and excellence in paediatric healthcare.
Contact Details:
Great Ormond Street Hospital Recruitment Team
