Bioinformatics Engineer, Pipelines at Mithrl - ScoutJobs - The AI-curated global job board
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Posted 5 hours ago

Bioinformatics Engineer, Pipelines

MithrlBioinformatics Engineer, Pipelines

Perks & benefits

CommissionHealth InsuranceMedical InsurancePaid Leave

Requirements

6-8 years bioinformatics workflow engineering experience, Nextflow, nf-core, WDL, CWL, or Snakemake, Python or R proficiency, Experience with genomics, single cell, or spatial data, Docker or Singularity

Skills

NextflowPythonR

About the role

About the Company

Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into real insights in minutes, helping scientists move from target discovery to patient outcomes at unprecedented speeds.

Responsibilities

  • Design and maintain production grade bioinformatics pipelines for data modalities including microarray, cell painting, WGS, WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq
  • Build workflows using Nextflow, nf-core modules, or similar engines with a focus on reproducibility, validation, and scalability
  • Implement quality control, validation, and provenance tracking for all supported modalities
  • Collaborate with the Tabular Data Team to ensure pipeline outputs map cleanly into internal schemas, including metadata normalization and feature name harmonization
  • Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies
  • Produce structured output artifacts for platform downloads

Requirements

  • 6 to 8 years of experience in bioinformatics workflow engineering or computational biology
  • Strong experience with Nextflow, nf-core, WDL, CWL, Snakemake, or similar workflow systems
  • Proficiency in Python or R for data processing, QC, and pipeline logic
  • Hands-on experience building pipelines for multiple biological data types (genomics, single cell, imaging, flow cytometry, spatial data, or epigenomics)
  • Ability to design reproducible and containerized pipelines using Docker or Singularity
  • Strong understanding of secondary and tertiary data layers and integration with downstream analysis systems
  • Experience integrating pipeline outputs with data stores, schemas, or ML-ready formats

Preferred Qualifications

  • Experience executing pipelines in cloud environments such as AWS Batch, ECS, Tower, or Nextflow Cloud
  • Experience with imaging workflows such as CellProfiler, DeepCell, or Squidpy
  • Familiarity with genomic reference databases, annotation formats, and biological ontologies
  • Previous work in a tech bio startup, biotech R&D group, or scientific software company

Benefits

  • Comprehensive PPO health coverage through Anthem (medical, dental, and vision)
  • 401(k) with top-tier plans
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Bioinformatics Engineer, Pipelines

Mithrl · San Francisco

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