Are you a creative problem solver and a quick learner interested in observational (real world) & quantitative research? Do you have a passion and curiosity for using healthcare data to drive research and development of novel treatments for patients around the world? Do you want to use complex algorithms to generate insights from a variety of medical datasets? Do you want to start your career at one of the world's largest pharmaceutical companies, in a team that aims to transform how we use data and advanced analytics to improve care for patients?
Then StarTrack, the programme in Personalised Healthcare (PHC) Data Science, is made for you! You will join the PHC Data Science team at Welwyn, United Kingdom for a period of 24 months to work on innovative projects spanning multiple disease areas leveraging large amounts of healthcare data originating from EMRs (Electronic Medical Records), Disease Registries, Clinical Trials, Insurance Claims, Digital Health, Genomics and Imaging. You would be working side by side with other data scientists to help uncover answers to challenging clinical and business questions.
Our Pharmaceuticals site - Welwyn Garden City
Welwyn Garden City, the base for Roche’s UK Pharmaceutical business
Duration: 24 months, starting early 2020 (some flexibility with start date)
Welwyn, United Kingdom
A structured programme preparing early-in-career graduates for an industry position in Personalised Healthcare (PHC) Data Science
Opportunities for varied, challenging and innovative projects among the different functions in Roche PHC Data Science (e.g. Real-World Data, Advanced Analytics, Digital Health and Imaging).
Outcome and prospects
Develop a thorough understanding of how healthcare data could be used to generate meaningful insights accelerating research and development of new medicines:
Hands-on experience using real-world evidence in pharmaceutical development, regulatory approval and market access contexts
Use artificial intelligence and machine learning to solve some of the hardest problems in biomarker discovery, clinical trial design, and outcome research
Design novel methodologies to combine multi-modal healthdata such as clinical, imaging, omics and digital health originating from clinical trials and other real-world data sources
Professional development opportunities including presenting your research at conferences and participating in a variety of courses offered by the company
Opportunities to be involved in all aspects of our work, from conceptualisation of research ideas to study design, programming and analysis, interpretation and dissemination of results through internal presentations or publications
Who you are
Recent PhD university graduate (you graduated no more than 18 months ago)
Has a quantitative data science discipline (e.g. Statistics, Bioinformatics or Computer Science)
Extensive quantitative data experience in Neuroscience, Oncology, Infectious diseases etc, combined with may also be considered
Previous experience utilising longitudinal patient-level data preferred
Statistical programming skills preferred e.g. R, SAS, Python
Proven history of publications in peer-reviewed journals, and/or abstracts (including presentations) at scientific conferences is a plus
Fluency in written and verbal English
Good interpersonal and presentational skills
Please note: As the formal recruitment process will start on September 1st, 2019 please be aware that your application will be reviewed on September 1st, 2019 the earliest.