Data Scientist (Biomedical| Electrical | Computer Science)

  • R. Dr. Plácido da Costa, 4200-450 Porto, Portugal
  • Full-time

Company Description

iLoF is working to enable a new era of personalized medicine, by using AI and photonics to build a cloud-based library of diseases biomarkers and biological profiles.

It is providing screening and stratification tools in an affordable, fast, portable way, saving up to 40% of cost and 70% of the time spent screening for clinical trials.

Supported by leading institutions like Microsoft Ventures, Mayfield or the Oxford University, iLoF is currently focusing a validated platform technology in one of the biggest epidemics of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke and Infectious diseases.

Job Description

Data Scientist (Biomedical| Electrical | Computer Science)

  • Relevant experience: > 1 year;
  • Knowledge about signal processing pipelines (preferably applied to biological-based signals);
  • Hands-on experience with Features Engineering, Machine Learning/Artificial Intelligence/Deep
  • Learning approaches (models creation, validation, testing);
  • Experience with the following programming /scripting languages: Python, Matlab, R;
  • Deep knowledge about statistical methods, analysis and mathematical modeling;
  • Experience in developing data structures (databases) and algorithms and relevant metrics to support decisions;
  • Experience with cloud-based AI pipelines;
  • Open-minded, Hands-on attitude and good command of English language.


Responsibilities:

  • Develop necessary scripts to run data pre-processing and analysis (classification, summarization and topic extraction using state-of-the-art machine learning techniques);
  • Develop features creation and features selection pipelines;
  • Conduct tests on data platforms;
  • Optimization of new models, implement most suitable performance metrics;
  • Interpret models, present final results to stakeholders within the context of clinical data;
  • Integration of models with data pipelines (developed in a cloud-based infrastructure);
  • Develop processes and tools to monitor and analyze models performance.

Qualifications

Background:

  • Computer Engineering / Informatics/Computer Science
  • Biomedical or Electrical Engineering

Additional Information

Benefits & perks:

  • Competitive compensation
  • Equity options
  • Fast career progression in a rapidly-scaling startup