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