Senior Research Data Scientist | Machine Learning | Personalized Medicine | Deep Tech Startup

iLoF; Porto; Presencial; EUR 50 000 - 70 000; Tempo integral

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

Overview

Senior Research Data Scientist | Machine Learning | Personalized Medicine at iLoF, a deep-tech startup focused on transforming precision medicine. You will be a prominent member of the data science team, developing models for predicting medical conditions from biomedical data and photonic signals, and helping advance an AI-powered bioinformatics diagnostics platform.

If you are driven and ambitious and want to work on groundbreaking technology that shapes the future of medicine, this is the right role for you.

Your Role / Responsibilities

• Independently own the full pipeline of specific data science projects from conception to deployment.
• Dive into proprietary datasets, explore, analyze, and extract insights that advance personalized medicine.
• Develop advanced algorithms, statistical models, and machine learning techniques to uncover meaningful patterns in complex data.
• Collaborate with the head of the department and cross-functional teams to influence product development and decision-making through data.
• Stay current with the latest advancements in data science, machine learning, and personalized medicine, applying new methodologies to enhance products.
• Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders.
• Engage with unique datasets and human-derived signals, bringing hands-on expertise to the work.
• Contribute to exploring new data types, including medical-source data such as omics (genomics, metabolomics, proteomics, transcriptomics) and other data forms (tabular, time series, physiological signals).
• Contribute to the development of algorithms and models for the company’s cloud libraries of diseases.
• Work independently while thriving as a collaborative team player with leadership experience and the ability to work in interdisciplinary teams.
• Maintain a strong passion for innovation and excellence.

Qualifications

• PhD or relevant degree in Computer Science, Physics, Mathematics, Neuroscience, or related field. Exceptional candidates with a Master’s degree and proven research experience will be considered.
• 3+ years of experience solving data-driven problems in academia or industry, ideally with biomedical signals.
• Experience in data science applied to omics data is preferred but not mandatory.
• Experience in fast-paced environments, preferably in a deep-tech startup or high-growth setting.
• Extensive experience in data preprocessing, feature engineering, and exploratory data analysis.
• Strong understanding of statistical concepts, predictive modeling, and experimental design.
• Excellent problem-solving skills and ability to navigate complex data analysis and signal processing challenges.
• Strong written and verbal communication skills; ability to convey complex findings to diverse audiences.
• Experience supervising junior members is welcome but not required.

About iLoF

As personalized medicine becomes the norm, iLoF seeks to democratize access to personalized care through an AI-powered platform. iLoF is recognized by CB Insights and Financial Times as a leading digital health company, with partnerships and backing from institutions like Microsoft Ventures, Mayfield, and Oxford University.

Our goal is to become the platform that makes personalized medicine accessible to millions of people worldwide, using a proprietary optical fingerprint library of disease biomarkers and biological profiles to enable faster and more affordable patient screening and stratification.

We focus on validating our platform technology in challenges such as Alzheimer's disease while maintaining verticals in Digestive Cancer, Stroke, and Infectious diseases. Our team is a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, united by a passion for healthcare.

We are frequently featured in leading outlets and recognized as a transformative company in healthcare, with a culture that supports curiosity and collaboration.

What we value

• A Be Kind attitude as a core guideline
• Team spirit with a collaborative mindset
• Honesty and openness in discussions and feedback
• The courage to speak your mind in a constructive way
• Ownership and accountability for responsibilities and outcomes
• Ambition for innovation in a fast-paced, deep-tech environment
• Annual performance bonus and a flexible, high-paced remote-friendly environment
• Stimulating atmosphere with room for creativity and a strong team culture
• Weekly activities, free coffee and snacks, and private healthcare
• Opportunity to work with a world-class, talented team and potentially transform healthcare for millions

If this sounds like you, apply to join our journey. If you don’t tick every box, don’t be afraid to apply—we’re committed to upskilling our team.