Data Scientist (Clinical Trials)

REPORTING RELATIONSHIP: Director, Biostatistics and Data Science

DIVISION: Biostatistics and Data Science

FULL TIME EQUIVALENT: 1 FTE

CAREER STEP: Independent (Professional/Research)

EMPLOYMENT DURATION: Per contract (2-3 years)

TYPE OF EMPLOYMENT: Full time Fixed Term (with flexibility)

START DATE: ASAP

About The George Institute for Global Health

The George Institute for Global Health was established in 1999 with a mission to improve the health of millions of people worldwide, especially those in underserved populations, by challenging the status quo and using innovative approaches to prevent and treat the world’s biggest killers: non-communicable diseases and injury.

With offices in the United Kingdom (UK), Australia, China, and India, our 700+ staff members support 245+ active projects and clinical trials over 50 countries, complemented by an additional 400+ staff in our social enterprises. We focus on the global health challenges that cause the greatest loss of life, the greatest impairment of life quality and the most substantial economic burden, particularly in resource-poor settings.

Together with our academic partners, Imperial College London in the UK, UNSW Sydney in Australia, and Manipal Academy of Higher Education in India, we work with a global network of collaborators, undertaking clinical, population and health systems research.

Our experts are among the most cited globally, bestowed accolades for excellence and innovation, and regularly participate in policy fora. Our research is published in leading academic journals, referenced in policy documents, and recognised for its excellence, innovation, and impact. We are designated a WHO Collaborating Centre (WHO CC) for Injury Prevention & Trauma Care, and a WHO CC for Population Salt Reduction. Since 1999, we have raised more than $1 billion for research and produced over 10,000 peer-reviewed publications and other academic outputs.

What we do

• Lead world-class, large-scale clinical trials, epidemiological studies and health systems research to transform treatments and healthcare delivery.
• Look beyond single diseases, across the life course, to identify patient-centred approaches to care that can be implemented at scale.
• Develop low-cost, innovative solutions to global unmet needs.
• Drive our global impact through a program of research, advocacy, thought leadership and disruptive social entrepreneurship.

For more information about The George Institute, visit www.georgeinstitute.org.uk

Context of the Role  

The George Institute has a world-leading clinical research program underpinned by large-scale, high-impact randomised clinical trials. The George Institute wishes to further develop its impact by focusing on efficient, patient-centered clinical trials. This is to be supported by the application of novel statistical and data science methods aimed at improving the research processes and outcomes.

The Role

We are seeking a highly skilled and motivated Data Scientist with a specialization in AI applications for clinical trials to join our team. The ideal candidate will have a strong background in data science, machine learning, and healthcare, with a particular focus on leveraging AI techniques to optimize clinical trial processes and outcomes. The Data Scientist will be appointed within the Biostatistics and Data Science division.

Reporting Relationships

The Data Analyst will report to the Director, Biostatistics and Data Science Division.

Duties and Key Responsibilities

• Curate and consolidate clinical trial data from multiple sources
• Develop reports, visualization tools and interactive dashboards to track the progress of clinical trials
• Utilize advanced statistical and ML techniques to optimize clinical trial delivery
• Keep abreast of latest developments in AI, machine learning, and healthcare technology, and proactively identify opportunities to apply emerging methodologies to clinical trial research
• Collaborate with cross-functional teams, including clinicians, statisticians, and software engineers, to design and execute data-driven strategies for improving clinical trial efficiency
• Comply with all institute policies and SOPs
• Ensure compliance with regulatory requirements and ethical standards governing the conduct of clinical research.

As a Team Member:

• Participate in special projects to improve processes, tools, systems and organisation.
• Take responsibility for personal learning and development and for setting achievable and meaningful work objectives and managing personal targets, meeting obligations of TGI’s Performance Management and Development Policy.
• Demonstrate commitment to TGI’s organisational values, including performing to an exceptionally high ethical standard and focus on integrity, collaboration and teamwork in all efforts.
• Contribute ideas and experiences so that improve processes, tools, systems and organisation.

Work, Health and Safety

• Comply with Work Health and Safety legislation and operate in accordance with established Occupational Health and Safety practice and procedures at TGI.
• Promote and contribute to a safe, secure environment for staff and visitors.

Skills, Knowledge and Experience

Essential

• Master / doctoral qualifications in Statistics, Data Science, Computer Science, Bioinformatics or a related field
• Demonstrable of work experience in applying statistical and machine learning techniques
• Sound understanding of probability and statistics theory
• Proficiency in programming languages such as Python or R and familiarity with relevant libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch)
• Hands-on experience with leading data visualization tools (e.g. Tableau, Power BI or R Shiny)
• Excellent analytical skills and the ability to derive actionable insights from complex datasets.
• Effective communication and collaboration skills, with the ability to work in interdisciplinary teams
• Ability to see the big picture, whilst still maintaining a focus on detail and implementation
• Ability to be flexible and adaptable in the face of changing organisational priorities and ambiguous environments
• Strong focus on quality of work

Desirable

• Prior experience working in a medical research environment

How to apply:

Please send your CV and cover letter explaining why you would be suited to, and successful in this role to Anna Willis: recruitment@georgeinstitute.org.uk (via the ‘Apply’ button above) by 5pm GMT on Monday 24 June 2024.