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Internship: Training and deploying AI/ML protein abundance model predictions(m/w/x)
Designing data models for protein abundance predictions, managing proteomics metadata at a healthcare science firm. Solid programming skills in Python or R required. Direct involvement in MVP release workflows, working with proteomics data.
Requirements
- Degree or current enrollment in relevant field
- Solid programming skills in Python or R
- Familiarity with data pipelines and collaborative workflows
- Familiarity with containers and cloud/HPC workflows
- Experience with MongoDB or NoSQL databases
- Experience in mass spectroscopy or -omics data
- Familiarity with Kubernetes or deployment orchestration
- Experience developing REST APIs
- Strong communication and cross-functional teamwork skills
- Proficiency in English
- Proof of enrollment and mandatory internship status
Tasks
- Design data models for inputs and outputs
- Manage proteomics and transcriptomics metadata
- Enable MVP release workflows and versioning
- Produce stable and queryable data tables
- Document changes in detailed release notes
- Operationalize existing machine learning algorithms
- Deploy model inference via batch or API
- Implement CI/CD and monitoring protocols
- Manage access control and internal standards
- Create simple user entry points
- Integrate models with the company tech stack
- Collaborate with biologists and data scientists
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Git
- CI/CD
- Docker
- HPC
- MongoDB
- NoSQL
- Kubernetes
- REST APIs
- FastAPI
- Plumber
Benefits
Informal Culture
- Personal expression culture
- Open dialogue
- Genuine connections
Not a perfect match?
- RocheFull-timeInternshipOn-siteBasel
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Internship: Training and deploying AI/ML protein abundance model predictions(m/w/x)
Designing data models for protein abundance predictions, managing proteomics metadata at a healthcare science firm. Solid programming skills in Python or R required. Direct involvement in MVP release workflows, working with proteomics data.
Requirements
- Degree or current enrollment in relevant field
- Solid programming skills in Python or R
- Familiarity with data pipelines and collaborative workflows
- Familiarity with containers and cloud/HPC workflows
- Experience with MongoDB or NoSQL databases
- Experience in mass spectroscopy or -omics data
- Familiarity with Kubernetes or deployment orchestration
- Experience developing REST APIs
- Strong communication and cross-functional teamwork skills
- Proficiency in English
- Proof of enrollment and mandatory internship status
Tasks
- Design data models for inputs and outputs
- Manage proteomics and transcriptomics metadata
- Enable MVP release workflows and versioning
- Produce stable and queryable data tables
- Document changes in detailed release notes
- Operationalize existing machine learning algorithms
- Deploy model inference via batch or API
- Implement CI/CD and monitoring protocols
- Manage access control and internal standards
- Create simple user entry points
- Integrate models with the company tech stack
- Collaborate with biologists and data scientists
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Git
- CI/CD
- Docker
- HPC
- MongoDB
- NoSQL
- Kubernetes
- REST APIs
- FastAPI
- Plumber
Benefits
Informal Culture
- Personal expression culture
- Open dialogue
- Genuine connections
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Not a perfect match?
- Roche
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