2 days ago

Data Scientist (ML & Statistical Modelling)

Pacmed

Amsterdam

2 days ago

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Pacmed is seeking a Data Scientist focused on machine learning and statistical modelling to join their Amsterdam-based team. The role involves developing and deploying ML models on clinical data, contributing to capacity management insights, and working across the full ML lifecycle. Candidates need a Master's degree, strong Python skills, and fluency in English; visa sponsorship is not available.

AIHybridFull-timeSeniorPythonScikit-learn

Data Scientist (ML & Statistical Modelling)

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AIHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: be present in the office a couple of days per week

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)

Pythonscikit-learnpandasPolarsNumPyMachine LearningStatistical ModellingSQLDockerFastAPIVue.jsApache SparkLightGBMAzure

Soft Skills

CuriosityProduct mindsetTeam playerOwnershipLearner's mindsetEnergy

Key Responsibilities

•Develop and deploy machine learning models trained on large-scale medical data, improving predictive performance, calibration, and robustness.
•Contribute to statistical modelling for capacity management: combining and extending prediction models into unit- and hospital-level insights.
•Be involved in all stages of the ML process for new products: from problem definition to post-market monitoring.
•Dive into heterogeneous healthcare datasets to improve data quality and model reliability.
•Write professional, maintainable, well-tested code following best practices for medical applications.
•Contribute to R&D and bring new techniques and ideas into the team.
•Use AI tooling wisely and responsibly.
•Participate in validation and verification activities according to medical and information security regulations.
•Be present in the office a couple of days per week.

Data ScientistMachine LearningStatistical ModellingHealthcareAIPythonAmsterdamHybridFull-timePacmed

Key Responsibilities

•Develop and deploy machine learning models trained on large-scale medical data, improving predictive performance, calibration, and robustness.

•Contribute to statistical modelling for capacity management: combining and extending prediction models into unit- and hospital-level insights.

•Be involved in all stages of the ML process for new products: from problem definition to post-market monitoring.

•Dive into heterogeneous healthcare datasets to improve data quality and model reliability.

•Write professional, maintainable, well-tested code following best practices for medical applications.

•Contribute to R&D and bring new techniques and ideas into the team.

•Use AI tooling wisely and responsibly.

•Participate in validation and verification activities according to medical and information security regulations.

•Be present in the office a couple of days per week.