Offer summary

Qualifications:

Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field with 5+ years of experience; or Master’s degree with 8+ years of relevant industry experience., Proven expertise in Python for bioinformatics software and pipeline development., Hands-on experience in NGS data analysis and familiarity with bioinformatics resources., Strong understanding of genomic data standards and experience with relational databases, particularly MySQL..

Key responsibilities:

Lead the design and implementation of bioinformatics analysis pipelines for data processing.

Oversee the update and validation of genomic data and ensure compatibility and accuracy.

Collaborate with Dry lab teams to translate scientific requirements into production-ready tools.

Identify and implement strategies for continuous improvement in data workflows and system performance.

Job description

Deine Aufgaben

We are seeking a highly skilled and experienced Senior Bioinformatician to join our Bioinformatics team, supporting the development of CentoDX, our advanced cloud-based bioinformatics platform. In this role, you will lead the design and implementation of robust, scalable data analysis pipelines and actively contribute to algorithm optimization, data integration, and automation across our clinical diagnostics workflows.

Design, develop, and maintain bioinformatics analysis pipelines for sequence alignment, variant calling, annotation, and other data processing pipelines.

Lead the upgrade and enhancement of genomic bioinformatic data and pipelines, ensuring compatibility and accuracy
Maintain and enhance internal MySQL databases and ensure regular updates from external data sources (e.g., gnomAD, ClinVar, HGMD, RefSeq)
Oversee the continual update and validation of gene, transcript, and functional annotation pipelines in line with best practices
Drive development and refinement of bioinformatics algorithms to improve diagnostic accuracy and data interpretation
Lead the automation of tertiary analysis pipelines, ensuring scalability, reproducibility, and high-throughput performance
Collaborate closely with the Dry lab teams to translate scientific requirements into production-ready tools and support clinical decision-making
Identify and implement strategies for continuous improvement in data workflows, system performance, and data quality

Dein Profil

Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field with 5+ years of experience; or Master’s degree with 8+ years of relevant industry experience
Proven expertise in Python for bioinformatics software and pipeline development
Hands-on experience in NGS data analysis (e.g., RNA-seq, WES/WGS, variant interpretation)
Familiarity with public and proprietary bioinformatics resources (e.g., UCSC Genome Browser, TCGA, Ensembl, ClinVar, gnomAD)
Strong understanding of genomic data standards, formats (VCF, BED, GTF), and bioinformatics best practices
Demonstrated experience working in cloud-based environments (AWS preferred) with tools like AWS Batch, Lambda, or Step Functions
Experience with relational databases, particularly MySQL, for data management and integration
Solid understanding of software engineering principles, version control (Git), and reproducible research workflows
Strong organizational skills with the ability to prioritize tasks, meet deadlines, and align with company objectives
Excellent problem-solving skills and ability to work collaboratively in cross-functional teams

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Über uns

With employees from over 50 nations, CENTOGENE is a truly international company with offices is in Rostock, Berlin, Delhi, Boston, Valencia, Belgrade, and São Paulo.

We were born to help diagnostic patients with rare disease and today we evolved to help patients of all clinical specialties to make bold progress with guided solutions for physicians, their patients and pharma partners.

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