19 beste Stellen als machine learning in basel bl – aktuell auf Personalsuche

Research Associate
Botnar Institute of Immune Engineering - BIIE —Basel, BS
- Master
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Endress+Hauser Flow Switzerland —Reinach, BL
- 100%
- Management-Erfahrung
- Englisch
- Master
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Scientist, Pharmaceutical Development & Data Analytics _2 years temporary contract
Roche —Basel, BS
- 100%
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ictjobs.ch —Basel, BS
- 100%
- Englisch
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Professor*in für Spatial Data Science und Künstliche Intelligenz 80-100%
Fachhochschule Nordwestschweiz FHNW —Muttenz, BL
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- Forschungserfahrung
Computational Biology - Oncology
Roche —Basel, BS
- 100%
- Doktorat
- Linux
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Sr. Scientist - Computational Biology - Neuroscience & Rare Diseases
Roche —Basel, BS
- 100%
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Site Manager External Manufacturing and Business Operations Lead
Roche —Basel, BS
- 100%
- Management-Erfahrung
- Englisch
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Neurocrine Bioscience —Allschwil, BL
- 100%
- Doktorat
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PhD Student in Forecasting Resistance Spread and Epidemiological Impact (100%)
Universität Basel —Basel, BS
- 100%
- Homeoffice
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Sulzer —Allschwil, BL
- 100%
- Englisch
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SkyCell AG —Basel, BS
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GLONETPARTNERS —Basel, BS
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EPAM Systems, Inc. —Basel, BS
- C++
- Bachelor
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- Pensionskasse
Technical Solutions & Innovation Lead (m/f/d)
Viatris —Allschwil, BL
- 100%
- Homeoffice
- Englisch
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machine learning jobs near basel bl

Research Associate

Botnar Institute of Immune Engineering - BIIE
Basel, BS

Direkt bewerben

Details zur Stelle

vor 5 Tagen

Qualifikationen

Master
Analysefähigkeit
Kommunikationsfähigkeit

Vollständige Stellenbeschreibung

We are seeking a Research Associate to join the DeepIR flagship initiative, focusing on cell engineering and the characterization of T-cell receptor (TCR) and peptide-MHC (pHLA) interactions. This role is ideal for a recent master’s graduate with a background in immunology, molecular biology, or bioengineering who wants to contribute to cutting-edge immune engineering research. This is a hands-on experimental role where you will contribute to workflows for TCR discovery, immune cell engineering, and functional characterization of antigen-specific immune responses. In the TCR Discovery subgroup you will be working closely with other experimental and computational scientists.

Tasks

The Research Associate will support the DeepIR research groups through the following duties:

Next Generation Sequencing: design, optimize, run, and analyze next-generation sequencing library workflows. This may include HLA-typing, TCR/BCR targeted repertoire sequencing, and single-cell RNA-sequencing.
Cell Engineering: Generate and characterize TCR-engineered cell lines using molecular cloning, gene engineering, and reporter assays.
Functional Assays: Perform binding and activation assays to assess TCR-pHLA interactions using reporter assays.
Flow Cytometry: Perform multiparametric flow cytometry analysis to characterize engineered cells and immune responses.
Experimental Design & Optimization: Develop, refine, and troubleshoot protocols for TCR validation, screening, and characterization to optimize lab workflows.
Collaboration with Computational Teams: Work closely with bioinformaticians to experimentally validate computational predictions and ensure data is well-structured.
Data Analysis & Documentation: Maintain detailed, accurate experimental records and analyze data using Benchling, R, and Prism.

Requirements

We are looking for a motivated researcher who meets the following criteria:

Education: Master’s degree in Immunology, Molecular Biology, Bioengineering, or a related field.
Molecular Biology: Strong hands-on expertise in molecular biology techniques such as cloning, PCR, plasmid design, and genome editing for cell line engineering
Cell Culture: Experience with mammalian and or yeast cell culture, transfection, and transduction.
Immunological Assays: Familiarity with flow cytometry and other assays used for characterizing TCR-pHLA interactions.
Biological Knowledge: Demonstrated knowledge of immune receptor biology and antigen presentation is preferred.
Analytical & Communication Skills: Ability to analyze experimental data, troubleshoot protocols, document results in a digital lab notebook, and clearly present findings both verbally and in writing.

About DeepIR

DeepIR is BIIE’s flagship initiative focused on building a deep, mechanistic, and data-driven understanding of immune recognition. The program brings together experimental immunology, protein engineering, and machine learning to generate and integrate large-scale, high-quality datasets that enable predictive models of immune receptor–antigen interactions.

Direkt bewerben

Erweiterte Suche

machine learning Jobs in basel bl

Research Associate

Genomics Data Scientist (2 year contract)

Team Leader IPI - Quality Operations

Product Owner Advanced Analytics for Commercial Domain

Head of Calibration Technology

Scientist, Pharmaceutical Development & Data Analytics _2 years temporary contract

Software Engineer (alle) | 100%

Professor*in für Spatial Data Science und Künstliche Intelligenz 80-100%

Computational Biology - Oncology

Sr. Scientist - Computational Biology - Neuroscience & Rare Diseases

Site Manager External Manufacturing and Business Operations Lead

Biostatistics Director

PhD Student in Forecasting Resistance Spread and Epidemiological Impact (100%)

Mechanical Design Engineer Pressure Equipment

RnD Project Manager (m/f/d)

Quantitative Systems Pharmacology Modeler

AI Specialist for Sales & Marketing (m/w/d)

Lead Kernel Engineer/Architect

Technical Solutions & Innovation Lead (m/f/d)

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