[BBC] Researcher in Artificial Intelligence applied to life sciences (RRE) / Reference: 173_LS_AI_RRE

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  Researcher in Artificial Intelligence applied to life sciences (RRE)


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*Context And Mission*

The Life Sciences Department at the BSC integrates the independent 
research of senior scientists that work on various aspects of 
computational biology, ranging from bioinformatics for genomics to 
computational biochemistry and text mining. The Computational Biology 
group is involved in multiple projects in collaboration with 
experimental groups generating state-of-the-art genomics and epigenomics 
datasets, actively participating in the International Human Epigenome 
Consortium and with the general aim of enabling new approaches in 
personalized medicine. Current efforts involve integration of different 
types of omics data, with a particular emphasis on epigenomics. We are 
establishing methods to study genome architecture exploiting 
interdisciplinary tools such as machine learning and network theory.
The mission of the Computer Science Department at the BSC is to 
influence the way machines are built, programmed and used: computer and 
system architecture, programming models and performance tools, resource 
management, Big Data and artificial intelligence. The HPAI (High 
Performance Artificial Intelligence) research group is part of the 
Computer Science department, and it performs research in Artificial 
Intelligence, focused on the solutions, problems and infrastructure 
provided by High Performance Computing. The group actively collaborates 
with researchers from other fields, with the goal of applying machine 
learning to challenging problems in a wide variety of domains. HPAI has 
active collaborations with several large tech companies, pursuing lines 
of research of common interest. The group is also involved in multiple 
research projects, both European and national. Although the HPAI is open 
to all aspects of AI, currently its main lines of research are deep 
neural networks and graph analytics.
The post holder will collaborate with the Life Sciences department and 
the HPAI research group in the Computer Science department, with the 
goal of finding AI solutions to life sciences challenges. This will 
include working closely with researchers from both areas, programming, 
testing and dissemination of the research. The candidate will be able to 
develop an independent research programme within the broad topics 
mentioned above.
The Researcher will work in a highly sophisticated HPC environment, will 
have access to state-of-the-art systems and computational 
infrastructures, and will establish collaborations with experts in 
different areas both at the local and international levels.

*Key Duties*

  * Development of AI solutions, with special emphasis on machine
    learning methods, for the analysis and interpretation of biological data
  * Use predictive computational methods based on statistical and
    inference approaches to model complex biological processes
  * Integration of heterogeneous data sources using advanced data mining
    techniques


*Requirements*

  * Education
      o PhD in computer science or bioinformatics with a strong AI
        component.
      o OR Alternatively, an MSc on AI or Bioinformatics, with a strong
        computer science background, or background on applied
        mathematics/physics with demonstrated experience in AI methods.
  * Essential Knowledge and Professional Experience
      o Experience in AI methodologies
      o Interest in the life sciences area
  * Additional Knowledge and Professional Experience
      o Knowledge and experience in life sciences research
      o Knowledge and experience in AI methodologies:
        - Data pre/post-processing (feature selection, feature
        reduction, plotting and visualization)
        - Supervised and unsupervised learning (classification,
        clustering, regression)
        - Knowledge representation
        - Complex networks (graph-based representation, graph analytics)
        - Deep learning (TensorFlow, PyTorch, Caffe, word embeddings)
      o Programming: Python (scikit-learn, numpy, matplotlib), Matlab,
        R, Java, C, C++, Git
  * Competences
      o Fluency in spoken and written English, while fluency in other
        European languages will be also valued
      o Capacity to explore new research lines
      o Good communication and presentation skills
      o Ability to work both independently and within a team

*Apply here:* https://www.bsc.es/join-us/job-opportunities/173lsairre


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