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Senior or Principal Data Engineer (m/w/x)
Designing scalable pipelines for emerging omics data and leveraging agentic AI for workflow optimization. PhD or Master's degree in a related field, with Python or R proficiency, required. Focus on multimodal data delivery and sustainable system creation.
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Anforderungen
- PhD or Master’s degree in Bioinformatics, Computational Biology, Computer Science, or related field
- Designing and implementing scalable pipelines for omics data processing
- Strong problem-solving and solution-oriented abilities
- Critical thinking and willingness to challenge existing practices
- Proficiency in Python or R
- Experience with workflow management tools (Nextflow, Snakemake)
- Experience with cloud platforms (AWS, Azure)
- Familiarity with containerization technologies (Docker, Kubernetes)
- Solid understanding of omics data types (genomics, transcriptomics, proteomics)
- Solid understanding of associated tools, databases, and file formats
- Experience with agentic AI for data ingestion, engineering, and workflow optimization
- Excellent communication and interpersonal skills
- Ability to align engineering solutions with strategic goals
- Extensive experience in pharmaceutical or biotech industries
- Proven track record of leading complex projects
- Ability to drive cross-functional initiatives
- Ability to influence organizational strategy
- Expertise in integrating multiple omics modalities
- Expertise in leveraging advanced AI/ML techniques for data analysis
- Applications from persons with severe disabilities are warmly welcomed
- Preferential consideration for applicants with severe disabilities in cases of equal qualifications
Aufgaben
- Design and implement scalable pipelines for emerging omics modalities
- Ensure seamless delivery of high-quality, multimodal data
- Create maintainable and sustainable data systems
- Leverage agentic AI to streamline data ingestion, engineering, and workflow optimization
- Ensure efficient and reproducible data processing across modalities
- Enable generation, processing, and integration of multimodal omics data
- Design and implement scalable data pipelines with computational biology and AI/ML teams
- Ensure high-quality, standardized data assets for downstream analysis
- Leverage agentic AI to streamline data ingestion, engineering, and workflow optimization
- Drive efficiency and reproducibility across modalities
- Take ownership of complex data processing pipelines for omics modalities
- Ensure seamless integration of omics data into downstream workflows
- Collaborate with partners to establish robust data standardization processes
- Ensure consistency in data quality and formats across diverse sources
- Define global standards for data processing, integration, and delivery
- Contribute to the development of a unified data ecosystem
- Contribute to the development and optimization of computational biology pipelines, databases, and data assets
- Support cutting-edge research initiatives
- Strengthen stakeholder relationships through effective communication and alignment
- Drive operational excellence by identifying and implementing improvements to workflows, processes, and multimodal data capabilities
- Lead strategic initiatives to define and implement best practices for omics data engineering
- Identify and establish key partnerships for high-quality human data asset internalization
- Ensure access to robust and reliable datasets
- Drive innovation by identifying emerging trends and technologies in data processing
- Integrate emerging trends and technologies into team workflows
- Mentor and guide junior scientists and engineers
- Foster a culture of collaboration and technical excellence
- Represent the team in cross-functional discussions
- Contribute to high-level decision-making and long-term strategy development
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Von Nejo automatisch aufbereitet
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The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
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