Data Scientist (Biomedical| Electrical | Computer Science)

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.

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.

Background:

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

Benefits & perks:

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