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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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