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Genomic Data Engineer Jobs (NOW HIRING)

Strong knowledge of NGS data analysis methods, quality metrics, bioinformatics workflows, and genomic data interpretation. * Strong programming and scripting skills using Python, Bash, SQL, R, or ...

Strong knowledge of NGS data analysis methods, quality metrics, bioinformatics workflows, and genomic data interpretation. * Strong programming and scripting skills using Python, Bash, SQL, R, or ...

Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R ...

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Genomic Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do genomic data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for genomic data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Genomic Data Engineer jobs?

For Genomic Data Engineer jobs, the most frequently searched job titles are:

Associate Director, Principal Data Engineer

San Francisco, CA โ€ข On-site

Scorpion Therapeutics
51 - 200 employees

Other

Posted 12 days ago


Job description

Associate Director, Principal Data EngineerResponsibilities:
  • Build AI-enabled research workflows and agents to help scientists search, analyze, summarize, and connect Vir-generated information.
  • Develop AI agents for TCE research insights, Experimenta QC/QA review, and scientific/regulatory reporting.
  • Design trusted LLM, RAG, knowledge-search, and agentic AI workflows with traceability, validation, governance, and human oversight.
  • Lead development and integration of scientific platforms (e.g., SeqAssembler, HPD/dAIsY, SASTRY, OPAL Miner).
  • Build scalable research and clinical data pipelines for bioinformatics, genomics, machine learning, and scientific decision-making.
  • Architect and operate AWS cloud infrastructure for AI/ML, bioinformatics, clinical analysis, and large-scale scientific data.
  • Strengthen data quality, metadata, lineage, observability, security, and governance.
  • Partner cross-functionally to align data, cloud, application, and AI solutions with program needs.
  • Provide senior technical leadership (architecture, engineering practices, mentoring, roadmap).
Qualifications:
  • BS/MS in Computer Science, Data Engineering, Bioinformatics, Computational Biology, Engineering, or related technical field.
  • 12+ years in data engineering, software engineering, scientific computing, cloud architecture, or scientific application.
  • Strong handsโ€‘on Python and/or Java; scalable data pipelines, APIs/services, productionโ€‘grade data.
  • Experience with AI/ML-enabled scientific applications using LLMs (GPT, Claude, Gemini, etc.); RAG, knowledge search, agentic workflows, governance.
  • Experience integrating LIMS/ELN/scientific data platforms or Experimenta for capture, analysis, and quality review.
  • Strong AWS experience (compute/storage/networking/security/data processing/monitoring/automation/operations).
  • Experience with Databricks, Snowflake, Redshift, Spark, Airflow, Nextflow, or similar.
  • Experience supporting bioinformatics/genomics/ML/clinical or other scientific data.
  • Knowledge of data modeling, metadata management, data quality, observability, governance, lineage.
  • Demonstrated technical leadership and crossโ€‘functional communication.
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