Pod Lead - Life Science (Terminal Bench Science)

Requisitos

• Ph.D., postdoctoral, or equivalent research experience in the life sciences, with strong demonstrated computational and scientific-programming experience
• Strong scientific programming experience, particularly in Python
• Worked as a POD-lead in the previous projects Ability to independently validate both scientific reasoning and computational outputs
• Expertise in one or more areas including bioinformatics, computational genomics, systems biology, computational neuroscience, biostatistics, computational drug discovery, computational biochemistry..

Desejáveis

• Familiarity with tools such as samtools, bcftools, GATK, BWA, STAR, Salmon, DESeq2, edgeR, Seurat, Scanpy, Biopython, Bioconductor, Nextflow, or Snakemake
• Familiarity with RDKit, OpenMM, GROMACS, AutoDock Vina, PyMOL, or Biopython structure tools
• Familiarity with medical imaging and clinical tools such as pydicom, nibabel, SimpleITK, MONAI, FSL, lifelines, statsmodels, or FHIR data formats
• Familiarity with Docker, Conda, Git, CI systems, automated testing, and HPC environments
• Experience designing benchmarks, analysis challenges, or computational evaluations