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.Software Engineer (Scientific Data)(m/w/x)
Building a world-class ML platform for drug discovery, ingesting and serving high-velocity scientific data. Extensive Python enterprise programming and GCP production system deployment experience required. 3 days in office, collaboration with scientists and ML researchers.
Requirements
- Data engineering and service-oriented architectures
- Extensive software engineering, design, and architecture skills
- Extensive enterprise programming with production code using Python
- Building, deploying, and maintaining secure, scalable production systems on GCP
- Kubernetes and cloud computing experience
- Ability to work in multi-disciplinary teams and environments
- Adaptability and willingness to work across domains and tech stack
- Ongoing career progression and passion for learning
- Msc in computer science or equivalent experience
- Management of scientific and experimental wet lab data in pharma context
- Life sciences data, including bioinformatics, computational chemistry, and biomedical research data
- Building backend systems for web applications using Django, SQLalchemy, Pydantic, PostgreSQL, DBT
- Designing, implementing, and maintaining relational data models with Python-based interfaces
- Cloud engineering in a compute-heavy environment, preferably on GCP
Tasks
- Contribute to a world-class ML-based software platform
- Design and implement data services for storage and integration
- Ingest, transform, and serve scientific data for applications
- Build a state-of-the-art platform for high-velocity research
- Collaborate with scientists and ML researchers on projects
- Redefine drug design processes using AI
- Work in a fast-paced, research-facing environment
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- GCP
- Kubernetes
- Django
- SQLalchemy
- Pydantic
- PostgreSQL
- DBT
Benefits
Other Benefits
- 3 days in office
Not a perfect match?
- Société des Produits Nestlé S.A.Full-timeOn-siteSeniorLausanne
- Artefact
Senior Data Engineer (GCP / dbt / Looker)(m/w/x)
Full-timeFreelanceOn-siteSeniorLausanne, Genf - Isomorphic Labs
Team Leader / Research Leader (Computational Drug Design)(m/w/x)
Full-timeOn-siteSeniorLausanne - Artefact
Senior Data Engineer (GCP / dbt / Looker)(m/w/x)
Full-timeFreelanceOn-siteSeniorLausanne, Genf - Isomorphic Labs
Chemistry Lead (Induced Proximity)(m/w/x)
Full-timeOn-siteSeniorLausanne
.Software Engineer (Scientific Data)(m/w/x)
Building a world-class ML platform for drug discovery, ingesting and serving high-velocity scientific data. Extensive Python enterprise programming and GCP production system deployment experience required. 3 days in office, collaboration with scientists and ML researchers.
Requirements
- Data engineering and service-oriented architectures
- Extensive software engineering, design, and architecture skills
- Extensive enterprise programming with production code using Python
- Building, deploying, and maintaining secure, scalable production systems on GCP
- Kubernetes and cloud computing experience
- Ability to work in multi-disciplinary teams and environments
- Adaptability and willingness to work across domains and tech stack
- Ongoing career progression and passion for learning
- Msc in computer science or equivalent experience
- Management of scientific and experimental wet lab data in pharma context
- Life sciences data, including bioinformatics, computational chemistry, and biomedical research data
- Building backend systems for web applications using Django, SQLalchemy, Pydantic, PostgreSQL, DBT
- Designing, implementing, and maintaining relational data models with Python-based interfaces
- Cloud engineering in a compute-heavy environment, preferably on GCP
Tasks
- Contribute to a world-class ML-based software platform
- Design and implement data services for storage and integration
- Ingest, transform, and serve scientific data for applications
- Build a state-of-the-art platform for high-velocity research
- Collaborate with scientists and ML researchers on projects
- Redefine drug design processes using AI
- Work in a fast-paced, research-facing environment
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- GCP
- Kubernetes
- Django
- SQLalchemy
- Pydantic
- PostgreSQL
- DBT
Benefits
Other Benefits
- 3 days in office
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?
- Société des Produits Nestlé S.A.
Sr Specialist Scientific Data Engineering(m/w/x)
Full-timeOn-siteSeniorLausanne - Artefact
Senior Data Engineer (GCP / dbt / Looker)(m/w/x)
Full-timeFreelanceOn-siteSeniorLausanne, Genf - Isomorphic Labs
Team Leader / Research Leader (Computational Drug Design)(m/w/x)
Full-timeOn-siteSeniorLausanne - Artefact
Senior Data Engineer (GCP / dbt / Looker)(m/w/x)
Full-timeFreelanceOn-siteSeniorLausanne, Genf - Isomorphic Labs
Chemistry Lead (Induced Proximity)(m/w/x)
Full-timeOn-siteSeniorLausanne