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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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Get started — it's freeBioinformatics Engineer, Pipelines
Mithrl · San Francisco
