Lead Data Scientist — ML for Personalized Medicine (Remote)
iLoF
Porto
Presencial
EUR 50 000 - 70 000
Tempo integral
14 dias+
Gerador de candidaturas
Transforma esta função numa entrevista — um currículo e uma carta de apresentação criados à volta do que este empregador procura.
Ultrapassa os filtros ATS
Vantagens oferecidas por esta oferta de emprego
Annual performance bonus
Flexible remote-friendly environment
Private healthcare
Weekly activities and free snacks
Resumo da oferta
A deep-tech startup in Porto is seeking a Senior Research Data Scientist to lead innovative projects in predictive modeling and personalized medicine. You will develop advanced algorithms and collaborate with interdisciplinary teams to shape the future of healthcare. Ideal candidates will have a strong educational background in relevant fields and considerable experience in data-driven problem solving. Join a talented team and contribute to groundbreaking technology.
Qualificações
3+ years of experience in data-driven environments, preferably with biomedical signals.
Strong understanding of statistical concepts and experimental design.
Experience in fast-paced startup environments is preferred.
Responsabilidades
Own the full data science project pipeline from conception to deployment.
Develop algorithms and statistical models to analyze complex biomedical data.
Collaborate with teams to influence product development based on data insights.
Conhecimentos
Data-driven problem solving
Statistical modeling
Machine learning techniques
Excellent written and verbal communication
Formação académica
PhD or Master's degree in Computer Science, Physics, Mathematics, Neuroscience
Ferramentas
Data analysis software
Python/R
Descrição da oferta de emprego
A deep-tech startup in Porto is seeking a Senior Research Data Scientist to lead innovative projects in predictive modeling and personalized medicine. You will develop advanced algorithms and collaborate with interdisciplinary teams to shape the future of healthcare. Ideal candidates will have a strong educational background in relevant fields and considerable experience in data-driven problem solving. Join a talented team and contribute to groundbreaking technology.
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