Job Reference
515_24_LS_ICONBI_R3
Position
Post-doc in AI for Biomedical Multi-Omic Data Analysis for Cancer Precision Medicine (R3) - AI4S
Closing Date
Monday, 30 September, 2024
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, 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 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 1000 staff from 60 countries.
We are particularly interested 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.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And Mission
Professor Nataša Pržulj is looking for several post-docs to work in machine learning (ML) informed by network science for mining big biomedical data. They will be developing new ML algorithms for computationally hard problems and applying them to analyzing large-scale, heterogeneous molecular (multi-omic) and patient data to aid drug repurposing and personalizing treatment choices. The successful candidates will work on the prestigious research grants of Prof. Pržulj.
The successful candidates will address developing and applying sophisticated machine learning and network science models and algorithms for biomedical real-world data. The aim is to utilize them to understand the structure of the data, enabling more efficient mining for new biological and medical insights that would lead to improving diagnostics, discovering new biomarkers, improving patient stratification and treatment, personalizing treatment, and facilitating rational drug development. The successful candidates will join the dynamic research group of Prof. Przulj within BSC, working in a highly sophisticated HPC environment with access to systems and computational infrastructures, and establish collaborations with internationally renowned experts in related areas.
The funding for these actions/fellowships comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: BSC AI4S
Key Duties
Conduct high-quality research
Publish in high-impact journals and conferences
Present research at national and international conferences and meetings
Collaborate with various research groups across Europe and elsewhere
Help supervise PhD and MSc students
Participate in grant writing and organizational activities
Participate in educational and outreach activities
Requirements
Education: PhD, MSc, and BSc in a quantitative discipline (physics, mathematics, computer science, engineering, bioinformatics, or similar) are required.
Essential Knowledge and Professional Experience: Good academic and publication record for the career stage.
Additional Knowledge and Professional Experience: Good technical skills including at least several of the following: machine learning, algorithms, data analysis, graph, network and complexity theory, scientific computing, statistics, programming in C, C++, a scripting language and Matlab, using a parallel computing environment, bioinformatics, network biology, network medicine, network analytics, medical informatics. Fluency in English is essential; proficiency in Spanish and other European languages is advantageous.
Competences: Good communication skills; ability to work in a team and in a multi-cultural environment.
Conditions
The position will be located at BSC within the Life Sciences Department.
We offer a full-time contract (37.5h/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.
Duration: 4 years
Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement.
Salary: 55.000,00€
Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
Starting date: ASAP - incorporation for this vacancy must be before the 16th of December 2024.
Applications procedure and process
All applications must be submitted via the BSC website and contain:
A full CV in English, including contact details.
A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system. The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position will be evaluated. A minimum of 30 points out of 60 must be obtained to be eligible for the position. - 60 points
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire and a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
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, ensuring gender-balanced recruitment panels and recognizing career breaks. 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.
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