Senior Data Scientist
The Biocomputing Unit at the Institute for Health Sciences in Aragon is looking for an exceptional
Senior Data Scientist to lead new research projects based on the value of clinical information
(electronic health records, evidence-based guidelines and protocols, medical literature, etc.) to
create novel healthcare paradigms and incorporate them to the daily medical practice.
The IACS mission is to promote research, innovation and knowledge brokering in
biomedicine and health sciences for the Aragon Health System. We aim to improve the
quality, safety and sustainability of the Health Care System and support the decision-
making process by providing HTA and evidence based products. IACS has a department
of Evidence Based Decision Making (EBDM) that holds its responsibility as HTA agency
for the Regional Government as well as Aragon node of the Spanish Network of HTA
Agencies. In addition, the Institute holds the secretary of the national clearinghouse of
clinical practice guidelines (GuiaSalud), coordinating the development, dissemination
and adoption of evidence based products for the Spanish National Health System.
Regarding Research, Development and Innovation responsibilities, IACS supports stable
research and innovation groups in the areas of clinical and translational medical
research, biomedicine, public health, health systems and policy research. Organizational
change and innovation (living labs, ideas exchange platform, public procurement of
innovation, patents office) are coordinated from the Innovation Unit. As part of its
support to biomedical research, we provide specialized scientific services through our
10 Research Core Facilities covering Genomics, Proteomics, Cell Culture and Flow
Cytometry, Anatomic Pathology and Microscopy, Medical Imaging and Phenotyping and
Experimental Surgery. Moreover, IACS is the regional authority for authorizing and
monitoring (private and public) randomized control clinical trials as well as post
authorization observational studies for drugs and devices.
The candidate will join an enthusiastic team directly involved in the Aragón Regional Health
Authority BIGAN project, a Big Data infrastructure for research in healthcare; and the Spanish
National Health Service Clinical Practice Guidelines Program BiGS project, a Smart Digital Library
to answer patient and healthcare professionals using all available evidence.
As part of these projects, the candidate will be responsible for leading the bioinformatics
component of multidisciplinary teams and collaborating with colleagues to advance
bioinformatics in healthcare transformation and precision medicine leading research working
on different topics including, but not limited to:
-Precision and personalized medicine: evaluation of the effectiveness of health interventions
within population groups using health data from multiple structured and unstructured information.It includes the creation of tools able to infer individual behaviour model patient flows within the healthcare services along the assistance process.
– Integrated care: provide healthcare professionals with decision support tools to assure
continuity and best care during the assistance process. These tools rely on new
methodologies and technologies to support the automation of care through formally
defined protocols, e.g. computer interpretable guidelines, inferred from clinical evidences
or tracing patients’ actions along the healthcare system.
– Preventive medicine: promote a healthy lifestyle and provide mechanisms to automate the
deployment of tools to monitor population health parameters and discover best practices,
supported by compelling scientific evidence.
– A PhD in computer science, electrical engineering, mathematics or physics. Candidates are
expected to have a minimum of 6 years of postdoctoral experience for this call
More info at https://araid.es/en/content/international-call-recruitment-researchers-2017
– Research experience and strong publication record in machine learning, natural language
processing, and computational statistics.
– Strong expertise in one or more of the following areas: machine learning, statistical
modelling, deep learning, numerical optimization, data mining, algorithm design.
– Experience in one or more of the following areas: speech recognition, natural language
processing, dialog, question and answering, knowledge representation, reasoning.
– Experience in extracting numerical, categorical and text information from unstructured
– Excellent programming, debugging and data analysis skills (Python, R, C/C++ and UNIX like
environments). Fast prototyping research ideas effectively is highly encouraged.
– Able to take initiative, but also able to work as part of a cohesive team of
– Excellent communication skills (written and oral) in English and/or Spanish
– Academic or industrial experience working with large data-sets from varied sources on
biomedicine or health sciences areas is a plus.