JUNIOR RESEARCH ENGINEER FOR DATA ANALYSIS IN LIFE SCIENCE (RE1)

About BSC The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.
It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe.
The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress.
BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 900 staff from 55 countries.
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BSC-CNS YouTube Channel Let's stay connected with BSC Folks! We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.
In instances of equal merit, the incorporation of the under-represented sex will be favoured.
Context And Mission The Computational Biology Group (http://life.
sc.
s/compbio), within the Life Sciences Department at the BSC, is involved in multiple projects covering several areas of precision medicine, systems biology, network science, and epidemiology.
The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a Researcher Engineer to join a national-founded research project called “MePreCiSa - Precision Medicine for Healthy Cities”.
MePreCiSa aims to develop a Cloud platform for integrated health assessment in cities and their inhabitants, following an approach based on Big Data analogous to that used in precision medicine.
The central axis of the proposal will be the use of mobility data based on mobile phones that allow considering the mobility patterns of the population for the generation of dynamic indicators of exposure, contact and risk, which will be designed and used in the analysis of different use cases.
The use cases include the interdisciplinary study of the impact of mobility factors, environmental quality and socio-economic determinants on the well-being and health of citizens, including respiratory diseases, allergies, and mental and cardiovascular diseases; the extension of a mobility-based epidemiological model to simulate real epidemic spread scenarios; the use of population dynamic indicators in the analysis of biomarkers obtained in wastewater.
The candidate will work in a highly sophisticated High-Performance Computing (HPC) environment, have access to state-of-the-art systems and computational infrastructures, and establish collaborations with international and local experts in different areas of biomedical research.
In particular, the candidate will work in collaboration with senior researchers.
Key Duties Data integration including health care data, socio-economic indicators and human mobility.
Develop methods to integrate and mine epidemic and mobility data to discover spreading patterns Design and implement tools that facilitate data analysis and visualization using interactive dashboards Participate in writing scientific articles, blogs, and online media posts.
Participate in internal group meetings and other scientific discussions Requirements Education Degree in Bioinformatics, Computational Biology, Data analysis or related discipline.
Essential Knowledge and Professional Experience Experience in Python programming language and/or R; Experience with data analysis and bioinformatics.
Experience developing interactive dashboards (e.
.
shiny).
Strong background in biological science Additional Knowledge and Professional Experience Experience with Python data science tools (e.
., Pandas, Numpy, Jupyter Notebooks, Scikit-learn, Matplotlib/Seaborn) to obtain, curate, clean, analyze, and visualisation of information; Experience with Network Analysis tools (Networkx/igraph, Gephi, yEd).
Fluency in spoken and written English.
Competences Good communication and presentation skills.
Ability to work both independently and within a team.
Conditions The position will be located at BSC within the Life Sciences Department We offer a full-time contract (37.
h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures Duration.
Open-ended contract due to technical and scientific activities linked to the project and budget duration Holidays.
23 paid vacation days plus 24th and 31st of December per our collective agreement Salary.
we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona Starting date.
Applications procedure and process All applications must be made through BSC website and contain.
A full CV in English including contact details A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process.
After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview.
A profile questionnaire as well as a technical exercise may be required during the process.
The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
For more information follow this link Deadline The vacancy will remain open until a suitable candidate has been hired.
Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R).
This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion.
We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link