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Data Scientist / Data Science Associate - Remote

Posted 6 weeks ago
Data Analysis
Full Time
Basel, Switzerland

Overview

The Botnar Institute of Immune Engineering (BIIE) is a newly founded research institute in Basel that serves as a hub for multidisciplinary science, uniting experts in immunology, bioengineering, computational biology, and AI. Our mission is to develop cutting-edge immune-based therapeutics and diagnostics by leveraging advanced computational tools. Within the BIIE, the DeepIR group focuses on computational design of antibodies and T-cell receptors (TCRs), applying modern machine learning methods to design immune receptors from scratch.

In Short

  • Develop and optimize ML models for predicting protein–protein interactions.
  • Support the inference pipeline and model deployment.
  • Work with high-throughput datasets for data analysis and integration.
  • Collaborate closely with experimental scientists.
  • Stay up-to-date with computational immunology research.
  • Present findings and contribute to publications.

Requirements

  • Master’s degree or PhD in Data Science, Computer Science, or related field.
  • Hands-on experience with machine learning and proficiency in Python.
  • Familiarity with graph-based learning techniques.
  • Basic understanding of protein biology and structural modeling.

Benefits

  • Competitive salary and benefits package.
  • Opportunities for professional development.
  • Chance to make a tangible impact on scientific discovery.
  • Collaborative and interdisciplinary working environment.
Botnar Institute of Immune Engineering - BIIE logo

Botnar Institute of Immune Engineering - BIIE

The Botnar Institute of Immune Engineering (BIIE) is a newly established research institute located in Basel, Switzerland, dedicated to advancing the fields of immunology, bioengineering, computational biology, and artificial intelligence. BIIE aims to develop innovative immune-based therapeutics and diagnostics by harnessing advanced computational tools. The institute's DeepIR group specializes in the computational design of antibodies and T-cell receptors, utilizing modern machine learning techniques to create immune receptors from the ground up. BIIE fosters a collaborative and interdisciplinary environment, encouraging partnerships between computational and experimental scientists to drive breakthroughs in immunology.

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