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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
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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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