Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Würzburg
- Working Model
- Onsite
Job Summary
In this role, you design analyses on large time-series and clinical datasets, enhance data pipelines, and apply machine learning to identify significant patterns and communicate findings clearly.
Job Technologies
Your role in the team
- Design and execute analyses on large-scale, time-series and clinical datasets.
- Develop and improve data processing and quality control pipelines.
- Apply statistical and machine learning methods to identify and validate meaningful patterns in complex clinical and physiological data.
- Critically assess data quality, limitations, and potential biases in real-world data.
- Provide expert input on analytical approaches and methodological questions.
- Collaborate closely with clinicians, engineers, and data teams.
- Translate complex analytical results into clear, decision-relevant insights.
- Contribute to scientific outputs, including manuscripts, reports, and presentations.
- Ensure reproducibility and transparency of analyses (code, documentation, versioning).
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Our expectations of you
Qualifications
- Holding an MSc or PhD in (Medical) Data Science, Biostatistics, Biomedical Engineering, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Having strong Python programming skills, especially for signal processing and data analysis (scipy, numpy, pandas, scikit-learn, etc).
- Having a strong foundation in statistical modeling and data analysis.
- Demonstrating a solid understanding of software architecture fundamentals and the ability to contribute meaningfully to complex codebases.
- Able to identify and validate meaningful patterns in complex, imperfect datasets, distinguishing true signals from noise and artefacts.
- Showing strong communication skills, including explaining complex analytical topics to diverse stakeholders.
- Demonstrating excellent written and spoken English skills.
Experience
- Bringing several years of hands-on experience in data science, statistics, or quantitative analysis.
- Experienced in working with real-world data, including handling missingness, bias, and confounding, and translating results into scientifically meaningful conclusions.
- Experienced in collaborating effectively in interdisciplinary and international environments.
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What we offer
- Flexible working hours & 30 days' vacation.
- Fair pay and special benefits such as VL, bAV, job ticket or cash card and much more.
- Free use of our products in your free time, Family & Friends discount for Garmin products, and participation in the Garmin share program.
- Health campaigns, company sports groups and a wide range of further training and seminar offers.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Garmin Wurzburg GmbH
Garmin entwickelt seit knapp 30 Jahren mobile Produkte für Piloten, Segler, Autofahrer, Golfspieler, Läufer, Fahrradfahrer, Bergsteiger, Schwimmer und für viele aktive Menschen. Von Automotive über Fitness und Outdoor bis hin zu Marine und Aviation hat Garmin seit der Gründung 1989 mehr als 175 Millionen Produkte verkauft.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Electronics, Automatization
Data Scientist
- Location
- Würzburg
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
