Working Student Data Scientist Bioinformatics (f/m/d) - #2113059
Staburo GmbH
Date: vor 7 Stunden
Stadt: München
Vertragstyp: Teilzeit
Arbeitsplan: Volle Tag

Your Responsibilities Will Include
We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, even after your studies, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen is part of our everyday working life. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds.
Question?
If you have any questions, please feel free to contact us by e-mail [email protected].
About Us
Staburo GmbH is a data science company, specialized in statistical consulting, programming and bioinformatics for healthcare projects. Our core competencies include Clinical Statistics, Translational Medicine & Biomarkers, Phase I & Pharmacokinetics/-Dynamics, Data Transparency & Disclosure Services, Health Technology Assessment and Bioinformatics. Our customers are international pharmaceutical companies, CROs, biotech companies and medical device manufacturers. Our steadily growing team supports our clients efficiently from study design to data analysis and finally the disclosing and posting of trial results.
- Support in-house development of next-generation sequencing (NGS) pipeline
- Evaluating existing mapping algorithms and downstream analysis tools
- Analyse IT requirements for running the pipeline in-house and a cloud environment (e.g. , Google Cloud, Azure)
- Setting up pipeline according to defined requirements
- Create proper documentation to describe the set-up process and maintenance
- What you will learn from us:
- Work with advanced bioinformatics tools and pipelines
- Gain practical experience in deploying and managing pipelines on both local servers and cloud platforms
- Understanding version control systems (e.g., Git)
- Learn about containerization and workflow management systems
- Develop skills in high-performance computing and data analysis
- Familiarize yourself with nf-core pipelines (RNAseq, Sarek, scRNAseq) and workflow management systems (e.g., Nextflow)
- Studies in bioinformatics, computer science, data science, or a related field
- Understanding of next-generation sequencing (NGS) data and bioinformatics workflows
- Proficiency in programming languages such as Bash, Python or R and well as familiar with Linux/Unix environments and command-line tools
- Understanding of high-performance computing (HPC) environments
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work in a team
- Good English skills, German is an advantage
- As a working student (f/m/d), you are available for up to 20 hours per week, whereby you can flexibly adjust your working hours to your schedule – starting immediately!
We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, even after your studies, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen is part of our everyday working life. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds.
Question?
If you have any questions, please feel free to contact us by e-mail [email protected].
About Us
Staburo GmbH is a data science company, specialized in statistical consulting, programming and bioinformatics for healthcare projects. Our core competencies include Clinical Statistics, Translational Medicine & Biomarkers, Phase I & Pharmacokinetics/-Dynamics, Data Transparency & Disclosure Services, Health Technology Assessment and Bioinformatics. Our customers are international pharmaceutical companies, CROs, biotech companies and medical device manufacturers. Our steadily growing team supports our clients efficiently from study design to data analysis and finally the disclosing and posting of trial results.
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