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Working Student Data Science(m/w/x)
Integrating lab device data into analytics platforms at medical research firm. Master's enrollment in computational biology or related field, Python knowledge expected. Remote options, flextime.
Anforderungen
- Enrollment in a master's degree program in computational biology, computer science, data science, information systems, or a related field
- Basic understanding of SQL and database concepts
- Interest in cloud data platforms and data engineering
- Working knowledge of Python; familiarity with Pandas and scikit-learn is a plus
- Willingness to learn new data analytical technologies
- Very good communication skills in English; German is an advantage
- Ability to work self-driven and with a high level of self-motivation
Aufgaben
- Support data collection from lab devices
- Integrate lab-related sources into the data analytics platform
- Build and maintain robust data pipelines
- Collaborate on designing and maintaining data models
- Engage with lab scientists to understand lab data
- Facilitate pipeline creation and optimization
- Assist with data preprocessing and preparation
- Enhance data quality and usability for projects
- Create comprehensive documentation of data pipelines
- Ensure data traceability and adherence to best practices
- Develop machine learning pipelines for ATS applications
- Research and implement methodologies for various applications
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- Pandas
- scikit-learn
Benefits
Flexibles Arbeiten
- Remote options
- Flextime
- Flexible work schedules
Sonstige Vorteile
- Comprehensive onboarding
- Mutual support
Weiterbildungsangebote
- Welcome Workshops
Lockere Unternehmenskultur
- Team spirit
- International collaboration
Parkplatz & Pendelvorteile
- Good connections to public transportation
- Free parking
Firmenfahrrad
- Employee benefits for bike leasing
Firmenwagen
- Employee benefits for car leasing
Snacks & Getränke
- Free beverages
- Basket of fruit
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Working Student Data Science(m/w/x)
Integrating lab device data into analytics platforms at medical research firm. Master's enrollment in computational biology or related field, Python knowledge expected. Remote options, flextime.
Anforderungen
- Enrollment in a master's degree program in computational biology, computer science, data science, information systems, or a related field
- Basic understanding of SQL and database concepts
- Interest in cloud data platforms and data engineering
- Working knowledge of Python; familiarity with Pandas and scikit-learn is a plus
- Willingness to learn new data analytical technologies
- Very good communication skills in English; German is an advantage
- Ability to work self-driven and with a high level of self-motivation
Aufgaben
- Support data collection from lab devices
- Integrate lab-related sources into the data analytics platform
- Build and maintain robust data pipelines
- Collaborate on designing and maintaining data models
- Engage with lab scientists to understand lab data
- Facilitate pipeline creation and optimization
- Assist with data preprocessing and preparation
- Enhance data quality and usability for projects
- Create comprehensive documentation of data pipelines
- Ensure data traceability and adherence to best practices
- Develop machine learning pipelines for ATS applications
- Research and implement methodologies for various applications
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- Pandas
- scikit-learn
Benefits
Flexibles Arbeiten
- Remote options
- Flextime
- Flexible work schedules
Sonstige Vorteile
- Comprehensive onboarding
- Mutual support
Weiterbildungsangebote
- Welcome Workshops
Lockere Unternehmenskultur
- Team spirit
- International collaboration
Parkplatz & Pendelvorteile
- Good connections to public transportation
- Free parking
Firmenfahrrad
- Employee benefits for bike leasing
Firmenwagen
- Employee benefits for car leasing
Snacks & Getränke
- Free beverages
- Basket of fruit
Über das Unternehmen
Sartorius Stedim Cellca GmbH
Branche
Healthcare
Beschreibung
Das Unternehmen ist Teil der Lösung im Kampf gegen Krankheiten und hilft, wissenschaftliche Entdeckungen schneller in die Medizin umzusetzen.
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