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Predoctoral Researcher All-Target

Detalles de la oferta

PhD position offered at the Institut Químic de Sarrià-Universitat Ramon Llull (Barcelona) Description We are seeking a highly motivated graduate student with a master's degree in health science with interest in data analysis or any field related to data science who has a keen interest in health science areas. Previous experience or training in psychology is welcome.
You will be part of the Applied Data Analytics and Modeling IQS (ADAMIQS) research group at IQS School of Management, Universitat Ramon Llull (IQS-URL), ranked #21 in the 2024 QS World University Ranking by subject in Business and Management Studies (#1 in Spain).
The candidate must show a strong research interest to pursue a PhD with the objective: EVALUATING QUALITY OF LIFE IN PATIENTS ALONG WITH LEUKEMIA TREATEMENTS.
You will have the unique opportunity to join a team working on a European project called project ALL-TARGET: Precision medicine randomized trial for patients with relapsed or refractory T-cell Acute Lymphoblastic Leukemia based on a functional approach by the Accelerate Together Rare Cancer Treatment (ATTRACT) call.
This project, which is developed in collaboration with different hospitals and research centers such as Josep Carreras Leukemia Research Institute, is at the forefront of precision medicine research.
Research topic The ALL-TARGET project aims to validate the added value of a precision medicine strategy for patients with relapsed or refractory T-cell acute lymphoblastic leukemia (T-ALL) by running a randomized prospective pragmatic trial in 6 European countries. Apart from the clinical trials, other relevant outputs of the project include the definition and the evaluation of health-related quality of life (HRQoL).
Assessment of HRQoL has become increasingly important in oncology because it has the great potential to provide valuable outcomes to support clinical decision-making further, potentially shaping the future of leukemia treatments. In addition, understanding HRQoL can help identify and inform supportive therapy needs both during and beyond treatment cessation.
Therefore, the research goal is to define and measure the evolution of patients' HRQoL during treatment using data from electronic records provided by medical experts and from a mobile application used by patients to share and interact with other patients. This challenge is developed by an interdisciplinary team of psycho-oncologists, data analysts, patient advocates, and T-ALL researchers.


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