Bioinformatics Engineer – Variant

LatchBio

Bioinformatics Engineer developing AI solutions for genomic analysis, designing LLM benchmarks across various genomic tasks. Collaborate and impact how AI aids in human genetics research.

Posted 7/28/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and evaluating LLM benchmarks for genomic analysis, with a strong focus on human genetics data and proficiency in genotyping workflows. Capable of managing the full evaluation pipeline, including dataset selection and performance measurement.

Highest-signal resume keywords

Master's Or PhD In Bioinformatics3-5 Years Research Experience In GenomicsDeep Expertise In Population GeneticsFluency With Genotyping WorkflowsExperience With Variant Calling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Genomic AnalysisRead AlignmentAssemblyVariant CallingGWASCausal InferenceMultiomics IntegrationStatistical GeneticsClinical Genomics

Industry Keywords

Human Genetics DataEvaluation PipelineDatasetsFailure ModesGrading Scripts

Tech Stack

Tools & technologies

Assembly

About the role

Key responsibilities & impact

You'll design, build, and evaluate LLM benchmarks for genomic analysis - spanning read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration.
Your benchmarks and evaluations will set the bar for how well AI agents can serve as analysis partners for scientists working with human genetics data.
You'll own the full evaluation pipeline: choosing datasets, defining failure modes, writing grading scripts, and shipping evaluations that measure real capability.
Your work directly impacts how LLMs reason through genomic problems.

Requirements

What you’ll need

Master's or PhD in bioinformatics, genetics, biology, statistics, or related field
3-5 years of hands-on research experience analyzing genomics datasets (especially human data), demonstrated through publications or industry work
Deep expertise in at least one of: population genetics, statistical genetics, clinical genomics
Fluency with genotyping workflows: variant calling, fine-mapping, Mendelian randomization

Benefits

Comp & perks

2x free daily meals
unlimited snacks
company outings most months
team offsites
Waterfront office near Oracle Park
monthly parking (based on availability)