Isomorphic Labs
Software Engineer, Full Stack(m/w/x)
Full-timeWith HomeofficeSenior
Lausanne
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ISIsomorphic Labs
Software Engineer, Data Engineering(m/w/x)
Lausanne
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing ML research platforms and MLOps components for AI-driven drug discovery. Extensive enterprise programming experience with Python, Java, C++, or Go required. Focus on frontier AI for scientific insights in drug discovery.
Requirements
- Strong software engineering experience with design/architecture skills
- Extensive enterprise programming experience with Python, Java, C++, or Go
- Experience with Kubernetes
- Experience building secure/scalable cloud platforms/products
- Ability to work in multi-disciplinary teams/environments
- Adaptability and willingness to work across domains/tech stack
- Ongoing career progression and passion for learning
- MSc in computer science or equivalent experience
- Expertise in Python
- Experience managing scientific/experimental wet labs data in pharma
- Experience building backend systems for web applications
- Experience designing/implementing/maintaining relational data models with Python
- Experience developing frontend applications in scientific context
- Experience building/optimizing/productionizing large-scale deep learning models
- Hands-on cloud engineering experience, preferably GCP
- Hands-on experience optimizing hardware accelerators
- Experience with low-level hardware specific optimization for deep learning
- Experience with life sciences data (bioinformatics, computational chemistry, biomedical research)
Tasks
- Ingest, manage, and serve scientific data
- Engineer backend and fullstack for scientific applications
- Engineer backend and fullstack for data management applications
- Develop a high-velocity, reliable ML research platform
- Build MLOps components for research-to-production model transfer
- Optimize low-level performance for ML models and infrastructure
- Optimize compute resources and accelerators for large-scale ML
- Leverage compute resources and accelerators for large-scale ML
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Java
- C++
- Go
- Kubernetes
- Django
- SQLAlchemy
- Pydantic
- PostgreSQL
- GCP
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Isomorphic Labs 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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ISIsomorphic Labs
Software Engineer, Data Engineering(m/w/x)
Lausanne
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing ML research platforms and MLOps components for AI-driven drug discovery. Extensive enterprise programming experience with Python, Java, C++, or Go required. Focus on frontier AI for scientific insights in drug discovery.
Requirements
- Strong software engineering experience with design/architecture skills
- Extensive enterprise programming experience with Python, Java, C++, or Go
- Experience with Kubernetes
- Experience building secure/scalable cloud platforms/products
- Ability to work in multi-disciplinary teams/environments
- Adaptability and willingness to work across domains/tech stack
- Ongoing career progression and passion for learning
- MSc in computer science or equivalent experience
- Expertise in Python
- Experience managing scientific/experimental wet labs data in pharma
- Experience building backend systems for web applications
- Experience designing/implementing/maintaining relational data models with Python
- Experience developing frontend applications in scientific context
- Experience building/optimizing/productionizing large-scale deep learning models
- Hands-on cloud engineering experience, preferably GCP
- Hands-on experience optimizing hardware accelerators
- Experience with low-level hardware specific optimization for deep learning
- Experience with life sciences data (bioinformatics, computational chemistry, biomedical research)
Tasks
- Ingest, manage, and serve scientific data
- Engineer backend and fullstack for scientific applications
- Engineer backend and fullstack for data management applications
- Develop a high-velocity, reliable ML research platform
- Build MLOps components for research-to-production model transfer
- Optimize low-level performance for ML models and infrastructure
- Optimize compute resources and accelerators for large-scale ML
- Leverage compute resources and accelerators for large-scale ML
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Java
- C++
- Go
- Kubernetes
- Django
- SQLAlchemy
- Pydantic
- PostgreSQL
- GCP
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Isomorphic Labs 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.
About the Company
Isomorphic Labs
Industry
Pharmaceuticals
Description
The company is applying frontier AI to unlock deeper scientific insights and accelerate drug discovery.
Not a perfect match?
- Isomorphic Labs
Software Engineer, Full Stack(m/w/x)
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Software Engineer, Backend(m/w/x)
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