Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности описаны чётко, а работа связана с клиническими данными и прикладным машинным обучением; при этом стартап-среда может быть менее предсказуемой, чем работа в крупной компании.
Data Scientist - Applied Mathematics & Clinical Analytics (AI/Clinical Analytics): Developing robust analytical algorithms and reproducible workflows for clinical and preclinical datasets with an accent on signal processing, probability, statistics, and machine learning. Focus on investigating data quality, resolving complex analytical problems, validating results, and communicating uncertainty in biomedical and experimental contexts.
Location: Hybrid in Porto, Portugal
Company
hirify.global is a deep-tech healthcare startup building an AI-powered platform for precision medicine, personalized patient screening, and disease stratification.
What you will do
Translate clinical and preclinical questions into analytical tasks, approaches, and deliverables.
Apply signal processing, probability, statistics, machine learning, and mathematical expertise to develop and evaluate robust algorithms.
Prepare, explore, and analyse experimental and clinical datasets, investigating quality issues and inconsistencies.
Take ownership of unresolved analytical problems, diagnose causes, and develop practical solutions.
Produce reproducible code, analyses, visualisations, and documentation for review and reuse.
Collaborate with Data Scientists and scientific colleagues to interpret findings, support reports and publications, and contribute to project milestones.
Requirements
Degree in Mathematics, Applied Mathematics, Statistics, or a related quantitative discipline, supported by relevant applied experience.
Professional experience delivering Data Science or quantitative analysis projects from problem definition through implementation.
Strong scientific programming skills and the ability to write clear, maintainable analytical code.
Practical knowledge of statistics, machine learning, data preparation, and model evaluation.
Ability to investigate unfamiliar datasets, troubleshoot analytical workflows, and assess whether results are credible.
Experience managing personal deliverables and communicating progress, dependencies, and findings.
Nice to have
Experience in a startup or another environment requiring ownership and adaptability.
Experience analysing biomedical, clinical, or experimental data.
Culture & Benefits
Hybrid workplace with a strong remote work culture and adaptable working hours.
Flexible, fast-paced, and creative startup environment.
Collaborative, kind, honest, egoless, and ownership-oriented culture.
Weekly happy hours, food and drinks, free coffee, and snacks.
Opportunity to work with scientists, entrepreneurs, and inventors on healthcare and precision medicine.
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