20 meilleures offres (python, pully, vd) (à pourvoir)

Intern, Protein Design
Adaptyv —Lausanne, VD
- 100%
- Travail hybride
- Niveau Doctorat
- Python
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Harmattan AI —Lausanne, VD
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emploi.epfl.ch —Lausanne, VD
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- Niveau Master
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P2625 - Data Platform Engineer - Full Stack
Debiopharm —Lausanne, VD
- 100%
- Anglais
- Niveau Master
- SQL
Postuler rapidement
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Adaptyv —Lausanne, VD
- 100%
- Expérience en laboratoire
- Python
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- 100%
- Sans diplôme d'enseignement supérieur
- Python
il y a 10 jours
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emploi.epfl.ch —Lausanne, VD
- Niveau Doctorat
- Anglais
- Niveau Master
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MycoSense Inc. —Cully, VD
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- Niveau Master
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Harmattan AI —Lausanne, VD
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- Niveau Doctorat
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emploi.epfl.ch —Lausanne, VD
- Niveau Doctorat
- Niveau Licence
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Speechify —Lausanne, VD
- De 30 000 CHF à 160 000 CHF par an
- Télétravail
- Niveau Doctorat
- Niveau Master
- Scripting
il y a 2 jours
Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis
emploi.epfl.ch —Lausanne, VD
- Niveau Doctorat
- Dépannage logiciel
- Recherche
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LIGENTEC —Ecublens, VD
- Niveau Doctorat
- Anglais
- Niveau Master
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Harmattan AI —Lausanne, VD
- 100%
- Niveau Doctorat
- Niveau Master
- C++
il y a 3 jours
Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems
Giotto.ai —Lausanne, VD
- 100%
- Travail hybride
- Niveau Doctorat
- Python
Postuler rapidement
Bioengineer, Display & Library Engineering
Adaptyv —Lausanne, VD
- 100%
- Niveau Doctorat
- Niveau Master
- Python
Forward Deployed Engineer - Switzerland
Neural Concept —Lausanne, VD
- 100%
- Travail hybride
- Niveau Doctorat
- CAD
- Anglais
Computer Vision Engineer (VIO)
Harmattan AI —Lausanne, VD
- 100%
- Niveau Doctorat
- Niveau Master
- C++

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Intern, Protein Design

Adaptyv
Lausanne, VD

Soumettre votre candidature

Détails de l'emploi

100%

Qualifications

Niveau Doctorat
Python

Description complète du poste

Adaptyv is building an automated lab that lets AI agents run biology experiments.

We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world.

We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today.

Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development.

We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation.

Responsibilities

Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab.
Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability.
Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools down to candidates for synthesis and characterization.
Support the technical side of our open competitions and hackathons: drafting track briefs, supporting participants, judging submissions, and writing up results.
Contribute open data, blog posts, designer spotlights, and method comparisons to Proteinbase.

Qualifications

Currently enrolled in a Master's, PhD, or final-year undergraduate programme in computational biology, machine learning, biochemistry, biophysics, bioengineering, or a related field.
Hands-on experience with at least one modern open-source protein design method.
Strong Python and PyTorch skills. Comfortable working with biology data formats.
A working understanding of binding kinetics and developability that extends beyond in silico metrics, with a healthy scepticism of computational scores as ground truth.
Bonus: prior open-source contributions to a protein design repository, a strong showing in a public design competition, or a published blog post or paper.

Duration: 3-6 months. Paid.

Location: Remote, or on-site in Lausanne. Lausanne is preferred if you want lab access and the full design-build-test-learn exposure.

Application deadline

We are reviewing applicants on a rolling basis. Please include a link to a GitHub repository, competition submission, blog post, or other concrete work demonstrating your approach to protein design.

Application deadline

We are reviewing applicants on a rolling basis.

Soumettre votre candidature

Affinez votre recherche

python emplois - pully, vd

Intern, Protein Design

Aerodynamic Engineer

Internship Bioengineering / Molecular Biology

Ph.D. position in Microcombs for atomic clocks

Computer Vision Engineer

P2625 - Data Platform Engineer - Full Stack

Founders Associate

ML Ops Engineer

PhD Position in Interpretable AI for Coupled Multiphysics of Geomaterials

Computer Vision & Embedded Systems Engineer

Aerothermal Engineer

PhD. Student position in Integrated photonic-spintronic devices

Software Engineer, Data Infrastructure & Acquisition - Lausanne, Switzerland

Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis

Layout and Automation Design Engineer

Embedded Software Engineer - SoM

Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems

Bioengineer, Display & Library Engineering

Forward Deployed Engineer - Switzerland

Computer Vision Engineer (VIO)

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python (pully, vd)

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