Job
- Level
- Experienced
- Job Field
- DevOps, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 56.000 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
Job Technologies
Your role in the team
- Bridge the gap between data scientists, bioinformaticians and IT experts to develop and deploy practical solutions for clinical applications and biomedical research projects
- Contribute to the data life-cycle of a state-of-the-art drug screening platform and both standardized and exploratory biomarker research projects
- Design and deploy SQL databases and object stores on on-prem and cloud infrastructure
- Develop, standardize and execute data processing pipelines (ETL) for biomedical data
- Taking on the role of a data steward, ensuring that all data activities follow GDPR guidelines and adhere to the best cyber security standards
- Design and implement basic web applications for data access and visualization for both in-house as well as scientific and industry partners
- Deploy and maintain docker containers for various data science related storage and computational services
- Using CI/CD principles to turn existing web app prototypes into tested, easy-to-deploy MVPs
- Work together with IT team to automate company processes
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Our expectations of you
Education
- You have a PhD or MSc (with at least 5 years of working experience in the area) in computer science or related fields
Qualifications
- You feel at home when working with the Linux command line
- You can navigate and configure cloud and on-premise compute resources (e.g. AWS, GCP)
- Make-it-work mentality: you have strong skills in finding practical yet sustainable solutions
- Documentation mentality: you understand the value of writing concise and effective documentation for colleagues
- Good listening, communication, and personal skills to cooperate with non-technical staff
- Very good command of English, written and spoken
- Nextflow
- GraphQL
- Kubernetes
- Collaborative working tools (git, ticketing systems)
- Biomedical data (e.g., pathology images, flow cytometry, NGS, metabolomics, microbiome)
- Image analysis and computer vision (including machine learning and conventional methods) R programming language
- Working in an ISO certified environment
- German language skills are a plus, but not required to thrive in this position
Experience
- You are experienced with Docker (experience with container orchestration tools is a plus)
- You have hands-on experience with structured databases (user requirements, design, implementation, maintenance, and setting up ETL pipelines)
- You have hands-on experience with cloud and on-premise object stores (e.g. AWS S3, MinIO)
- You have experience with python or equivalent for data visualization and web development
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Job Locations
Location Graz
Steiermark
Austria
This is your employer
CBmed GmbH
Graz
CBmed is a powerhouse for medical biomarker research, with top-tier research infrastructure and expertise, as well as strong industry partnerships. This makes it the perfect place to conduct groundbreaking new studies in this field.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech, Science, Research
DevOps Data Engineer
- Salary
- from 56.000 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
