- Pay
- $180,000 — $240,000 USD per year
- Sponsorship
- Base salary: $180,000 to $240,000 annually. Visa sponsorship is not available.
Employer Job Description
From Clera's posting. “We” and “our” refer to the employer.
About the Role
Join a biotech AI engineering team building and operating data infrastructure that turns clinical, genomic, imaging, and other biomedical data into reliable assets for machine learning. This hands-on role supports data workflows from ingestion and analysis through model training and deployment to partner environments.
What You'll Do
- Build and maintain cloud data platform components, including object storage, lakehouse architecture, catalogs, lineage, versioning, and access systems.
- Design and operate governed data stores and releases for clinical records, molecular features, metadata, and linked datasets.
- Develop reproducible bioinformatics pipelines for omics data, using containerized workflows and cloud batch compute.
- Implement data quality checks, biological validation, and visualizations that help teams identify issues.
- Prepare versioned, training-ready datasets and build data deployment interfaces for partner environments.
- Operate production infrastructure, including Kubernetes, CI/CD, distributed workload scheduling, security, observability, reliability, and cost optimization.
What We're Looking For
- Two to five years building data infrastructure and production pipelines in biotech, diagnostics, biobanking, health data, or a related setting involving sensitive biological or clinical data.
- Production experience operating Kubernetes, writing infrastructure as code with Terraform or similar tools, and shipping tested Python and/or Go code.
- Experience designing CI/CD and deployment systems, job orchestration, and infrastructure for machine learning workloads; GPU or distributed training experience is valuable.
- Familiarity with a major cloud provider, preferably AWS, plus workflow managers such as Nextflow, lakehouse and warehouse design, data catalogs, and orchestration.
- Experience with large-scale data pipelines, bioinformatics or omics data such as WGS, RNA-seq, or proteomics; familiarity with OMOP, FHIR, R, or SQL is helpful.
- Understanding of compliance controls such as HIPAA, GDPR, or SOC 2, and strong engineering practices for testing, documentation, code review, and provenance.
Compensation
Compensation & Benefits
Base salary: $180,000 to $240,000 annually. Visa sponsorship is not available.
Location
Hybrid role based in San Francisco, California. Candidates must be based in or willing to relocate to San Francisco.
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
Listing check
- Employer posted
- · 2 days ago
- Status
- Listed as a current opening
- Apply goes to
- Ashby, the employer's hiring system
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