AI Research Scientist

BloodFlow

Lisboa

Presencial

EUR 60 000 - 90 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Competitive compensation and benefits package

Flexible schedule for research and academic collaboration

Conference travel and research publication funding

Resumo da oferta

A leading healthcare AI company in Lisbon seeks an AI Research Scientist to develop cutting-edge techniques for medical data analysis. The role involves collaborating with clinical experts and requires a PhD in AI, ML, or a related field. Ideal for candidates with deep expertise in machine learning and experience in medical AI, this position offers a competitive compensation package and opportunities for publication and collaboration.

Qualificações

PhD in AI/ML, Computer Science, or related field with strong research track record.
Deep expertise in machine learning, natural language processing, or deep learning.
Experience with large language models and transformer architectures.

Responsabilidades

Research novel AI techniques for medical data interpretation and clinical reasoning.
Publish research findings in top-tier AI and medical informatics conferences.
Collaborate with academic institutions and research partners.

Conhecimentos

Machine learning

Natural language processing

Deep learning

Python programming

Medical AI

Explainable AI

Multi-modal AI

Formação académica

PhD in AI/ML, Computer Science, or related field

Descrição da oferta de emprego

Research and develop cutting-edge AI techniques for medical data analysis, publish findings, and collaborate with clinical experts.

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Join our growing team of talented individuals

Everything you need to know about this role at BloodFlow

About BloodFlow

At BloodFlow, we’re building an AI platform that interprets blood test results in their full clinical context — helping doctors make faster, safer, and more informed decisions.

We combine LLMs, RAG pipelines, and medical best practices to transform raw lab data into structured, actionable insights. Our solution is already being used by clinics and hospitals, and we’re preparing for our first regulatory certifications and CE marking as a Class IIa medical device.

Role Summary

As AI Research Scientist, you’ll research and develop cutting-edge AI techniques for medical data analysis. You’ll work at the intersection of AI research and clinical practice, collaborating with medical experts to solve complex healthcare challenges.

This is a research-focused role ideal for someone with a strong academic background who wants to apply their research skills to real-world healthcare problems.

Responsibilities

🔬 Research & Innovation

Research novel AI techniques for medical data interpretation and clinical reasoning
Develop new approaches for handling medical uncertainty and multi-modal data
Investigate methods for improving AI explainability in clinical contexts
Stay current with latest developments in medical AI and LLM research
Publish research findings in top-tier AI and medical informatics conferences
Present work at academic conferences and industry events
Collaborate with academic institutions and research partners
Contribute to open-source projects and research communities
Work closely with clinical advisors to understand medical reasoning patterns
Design studies to validate AI approaches with real clinical data
Translate clinical requirements into technical research problems
Ensure research outputs are clinically relevant and actionable

What We’re Looking For

PhD in AI/ML, Computer Science, or related field with strong research track record
Deep expertise in machine learning, natural language processing, or deep learning
Experience with large language models and transformer architectures
Strong programming skills in Python and ML frameworks
Ability to translate research ideas into practical applications
Experience in medical AI, healthcare informatics, or clinical NLP
Knowledge of medical terminology, clinical workflows, or diagnostic processes
Experience with multi-modal AI (text, images, time series)
Background in uncertainty quantification or explainable AI
Collaboration experience with medical professionals or healthcare institutions