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RO
Roche
yesterday

Internship: Training and deploying AI/ML protein abundance model predictions(m/w/x)

Basel
Full-timeInternshipOn-site
AI/ML
Data Science

Description

In this role, you will bridge the gap between AI and biology by building the data foundation and deployment pathways needed to predict protein abundance across human tissues.

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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

Education

Bachelor's degree
OR
Master's degree
OR
Currently in higher education

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

Tools & Technologies

PythonRGitCI/CDDockerHPCMongoDBNoSQLKubernetesREST APIsFastAPIPlumber

Languages

EnglishBusiness Fluent

Benefits

Informal Culture

  • Personal expression culture
  • Open dialogue
  • Genuine connections
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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