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Cloud and Database Scientist* Personalized Computational Genomics
We are seeking a highly motivated and skilled individual to join our Personalized Computational Genomics team as a Cloud and database Scientist. If you are passionate about implementation of personalized medicine and want to contribute to the development of innovative personalized cancer therapies and vaccines, we invite you to apply for this exciting position.
Lead the implementation and configuration of scalable AWS infrastructure, including compute and storage configurations
Help implement and data mine a clinical “big data” database
Collaborate with interdisciplinary teams to establish seamless interfaces for data acquisition from sequencing facilities, public data sources, and clinical samples
Migrate existing pipelines, ensuring version control, and addressing potential challenges such as data volume and environment dependencies
Develop and maintain both production and development environments, integrating and working with critical tools like Nextflow, Conda, and Matlab
Automate processes, containerize applications, and expand interfaces to foster a dynamic and efficient computational ecosystem supporting research teams
PhD degree in Computer Science, Bioinformatics, or related field
Minimum of 3 years of experience with HPCs, cloud infrastructure management and databases
Strong knowledge of Amazon Web Services (AWS) experience, including AWS Parallel Server, VPC networking, S3, EC2, RDS, and EFS
Strong knowledge of AWS Cloud resources management and optimization
Strong knowledge of Terraform and containerization technologies (Docker/Singularity)
Experience with SLURM and workflow management systems (Nextflow)
Proficient in scripting languages (Python, SQL)
Experience with version control systems (Github)
Excellent communication and collaboration skills
Excellent problem-solving and analytical skills
Flexible Working Time
Mobile Office
Work from EU Countries (up to 20 days per year)
Company Pension Scheme
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