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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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and manage high‑throughput workloads on HPC or cloud infrastructure, including parallelization, traceability, reporting and workflow orchestration through Nextflow. Collaborate with data/AI engineers
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practices. Analyze and integrate multi‑omics datasets. Build and maintain reproducible bioinformatics pipelines (e.g., Nextflow/Snakemake) on HPC infrastructure. Integrate AI/ML models into omics workflows in
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). Familiarity with high-performance computing (HPC) and software containers. Knowledge of cancer genomics or regulatory biology is a plus. Mindset: Ability to work independently while thriving in a
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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM
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. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM). A pragmatic scientist who combines technical depth with a clear translational, goal‑oriented