Job
- Level
- Experienced
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 58.000 € gross/year
Job Summary
In this job, you develop and automate ETL pipelines for biomedical data and closely collaborate with laboratory staff to enhance data processing and visualization.
Job Technologies
Your role in the team
- Develop, standardize and execute data processing pipelines (ETL) for biomedical data.
- Taking on the role of a data steward, ensuring that all data activities are documented and follow the highest quality and cyber security standards.
- Work together with IT team to automate ETL processes.
- Work with existing relational databases and object stores (on-prem and cloud).
- Improve existing in-house web applications for data access and visualization for both in-house as well as scientific and industry partners.
- Contribute to in-house Python-based feature extraction pipelines for raw laboratory output (e.g., microscope images) together with data scientists.
- Work together with laboratory scientists.
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Our expectations of you
Qualifications
- You have/are completing an MSc in bioinformatics, computer science, or related fields.
- Precise and reliable working: you have a strong focus on delivering accurate results according to specifications, including documentation of your work and delivering on time.
- Unabhängiger und proaktiver Arbeitsstil.
- Good listening, communication, and personal skills to cooperate with lab colleagues.
- Sehr gute Englischkenntnisse in Wort und Schrift.
- Collaborative working tools (git, ticketing systems).
- Arbeiten in einem ISO-zertifizierten Umfeld.
- German language skills are a plus, but not required to thrive in this position.
Experience
- You are experienced with Python and R for ETL and data analysis.
- You have experience with the Linux command line.
- You have hands-on experience with relational databases, in particular MySQL.
- Optional plus: Erste praktische Erfahrung mit Docker.
- Optional plus: Erfahrung mit Python für Datenvisualisierung und Webentwicklung.
- Optional and beneficial skills include experience with:
- Experience with biomedical data (e.g., pathology images, flow cytometry, NGS, metabolomics, microbiome, ...).
- Experience with image analysis and computer vision (including machine learning and conventional methods).
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What we offer
- Flexible work hours with the possibility of home office.
- Family-friendly environment.
- You will have the opportunity to work in an internationally connected company, within a motivated and dedicated team.
- Your work on improving and maintaining our data pipelines will directly impact patient well-being, both in the short-term through drug screening approaches and in the long-term through state-of-the-art biomarker research.
- Opportunity to learn new tools and shape your own work experience by using the technology and tools of your choice.
- We offer an unlimited contract with a minimum annual gross salary of €58,000 based on a 40-hour workweek.
- Overpayment is possible, depending on qualifications and work experience.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About 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
- Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech, Science, Research
Employer reviews
by devworkplaces.com
Total
(1 Review)3.4
Workingconditions
3.4Engineering
3.2Career Growth
3.2Culture
3.7
Bioinformatician/Data Engineer
- Salary
- from 58.000 € gross/yearEstimated net salary based on the gross salary in the job ad.from 40.037 € net/year
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
