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Working Student(m/w/x)
Description
As a working student, you will have the opportunity to contribute to exciting projects in software development, cloud infrastructure, and machine learning, collaborating with teams to enhance innovative proteomics solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Enrollment in Bachelor's or Master's program in Computer Science, Bioinformatics, Data Science, or related fields
- •Proficiency in programming languages related to the position
- •Experience with cloud platforms (e.g., AWS) and containerization tools (e.g., Docker, Kubernetes)
- •Strong interest in proteomics and life sciences
Education
Tasks
- •Advance, test, and maintain core components of proteomics software
- •Support deployment and scaling of cloud-based systems for data analysis
- •Apply and extend machine learning models for biological data insights
- •Collaborate with cross-functional teams to enhance the AI-driven platform
- •Develop and maintain scalable software solutions like CHIMERYS and INFERYS
- •Implement and optimize cloud-based infrastructure for data processing
- •Engage in code reviews, testing, and documentation following best practices
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
Modern Equipment
- •Access to cutting-edge technologies
Startup Environment
- •Collaborative and innovative environment
Learning & Development
- •Professional growth and learning
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Working Student(m/w/x)
The AI Job Search Engine
Description
As a working student, you will have the opportunity to contribute to exciting projects in software development, cloud infrastructure, and machine learning, collaborating with teams to enhance innovative proteomics solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Enrollment in Bachelor's or Master's program in Computer Science, Bioinformatics, Data Science, or related fields
- •Proficiency in programming languages related to the position
- •Experience with cloud platforms (e.g., AWS) and containerization tools (e.g., Docker, Kubernetes)
- •Strong interest in proteomics and life sciences
Education
Tasks
- •Advance, test, and maintain core components of proteomics software
- •Support deployment and scaling of cloud-based systems for data analysis
- •Apply and extend machine learning models for biological data insights
- •Collaborate with cross-functional teams to enhance the AI-driven platform
- •Develop and maintain scalable software solutions like CHIMERYS and INFERYS
- •Implement and optimize cloud-based infrastructure for data processing
- •Engage in code reviews, testing, and documentation following best practices
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
Modern Equipment
- •Access to cutting-edge technologies
Startup Environment
- •Collaborative and innovative environment
Learning & Development
- •Professional growth and learning
About the Company
MSAID GmbH
Industry
Science
Description
MSAID transforms the way scientists analyze proteomics data and provides AI-based solutions for better computational analysis.
- BayWa r.e. AG Holding
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