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Working Student(m/w/x)
Developing and maintaining cloud-based proteomics software (CHIMERYS, INFERYS), applying ML for biological data. Cloud platform (AWS, Docker) and containerization experience, plus relevant Bachelor's/Master's enrollment, required. Flexible working hours at AI-based proteomics analysis provider.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Docker
- Kubernetes
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)
Developing and maintaining cloud-based proteomics software (CHIMERYS, INFERYS), applying ML for biological data. Cloud platform (AWS, Docker) and containerization experience, plus relevant Bachelor's/Master's enrollment, required. Flexible working hours at AI-based proteomics analysis provider.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Docker
- Kubernetes
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.
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