Job
- Level
- Erfahren
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data, Database
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 58.000 € Brutto/Jahr
Job Zusammenfassung
In diesem Job entwickelst und automatisierst du ETL-Pipelines für biomedizinische Daten und arbeitest eng mit Labormitarbeitern zusammen, um die Datenverarbeitung und Visualisierung zu verbessern.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- You have/are completing an MSc in bioinformatics, computer science, or related fields.
- Precise and reliable working: you have strong focus on delivering precise results according to specifications, including documentation of your work and delivering on time.
- Independent and pro-active working style.
- Good listening, communication, and personal skills to cooperate with lab colleagues.
- Very good command of English, written and spoken.
- Collaborative working tools (git, ticketing systems).
- Working in an ISO certified environment.
- German language skills are a plus, but not required to thrive in this position.
Erfahrung
- 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: First hands-on experience with Docker.
- Optional plus: Experience with python for data visualization and web development.
- 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).
Unser Angebot
- Flexible workhours with 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 salary from € 58000 gross based on 40 hours/week.
- Overpayment is possible, depending on qualifications and work experience.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
CBmed GmbH
Graz
CBmed, ein österreichisch finanziertes Kompetenzzentrum, verbindet hervorragende Forschungsinfrastruktur, wissenschaftliches Know-How, medizinisches Wissen und nationale sowie internationale Industriepartner für systematische Medikamentenforschung.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech, Wissenschaft, Forschung
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)3.4
Workingconditions
3.4Engineering
3.2Career Growth
3.2Culture
3.7
Bioinformatician/Data Engineer
- Gehalt
- ab 58.000 € Brutto/JahrNetto aus dem Bruttogehalt im Inserat umgerechnet.ab 40.037 € netto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
