Summary

Velsera is a global precision medicine technology company formed in 2023 through the consolidation of three leading companies: Seven Bridges, Pierian, and UgenTec. Headquartered in Boston, Massachusetts, Velsera provides integrated AI-enhanced software and expert services that accelerate the discovery, development, and delivery of precision medicine. The company's mission is to make breakthroughs happen faster so that lives are improved sooner. Velsera addresses critical challenges in healthcare by bridging the gap between clinical and discovery workflows, enabling seamless multi-omic data identification, ingestion, secure patient data management, and analysis. Their technology platform includes solutions for multimodal data harmonization, IVD development and validation, clinical NGS interpretation, and bioinformatics analysis. With over 80 active clinical NGS lab customers and supporting more than 18,000 researchers, Velsera serves biotech and pharmaceutical companies, clinical diagnostic laboratories, NGS assay manufacturers, and non-profit/government agencies worldwide.

Job description

What will you do?

Own the technical vision for the platform over the next three years, and turn it into an architecture and roadmap the team and the business believe in.
Own architecture decisions of record, design reviews, multi-tenant isolation, and complexity reduction across the service estate.
Keep delivery governed and modern: infrastructure-as-code under CI with policy-as-code, short-lived credentials, progressive rollout, and change evidence that holds up to audit in a federally authorized environment.
Own reliability: SLOs and error budgets on the paths customers depend on, on-call design that works across two sites, and turning repeat incidents into architectural change.
Ship governed AI in the product and apply AI to how the team builds, both under a governance policy co-owned with Risk & Compliance, and both measured.
Build the team: management depth you can trust with delivery, the specialist skills the roadmap needs, and maintaining a thriving team through a period of growth.

What do you bring to the table?

Must have 12+ years in software engineering, including several years leading multi-team organizations through managers.
Distributed-systems and platform architecture ownership at scale — multi-tenant isolation, service decomposition, and the judgment to reduce complexity.
Domain depth in scientific or biomedical data platforms — genomics, bioinformatics, life sciences, or comparable data-intensive, workflow-driven scientific computing.
Delivery inside a regulatory boundary such as FedRAMP, HIPAA, ISO 13485, or GxP.
Reliability and modern delivery engineering: SLOs, error budgets, infrastructure-as-code, CI/CD with policy-as-code and progressive rollout.
Production AI/LLM capability shipped under a compliance regime, or AI-assisted engineering you landed, governed and measured — beyond pilots.
A track record of setting technical vision for a platform and carrying an organization there.
Bachelor’s degree in a relevant field, or equivalent practical experience.

Nice to have

CWL/WDL/Nextflow, GA4GH standards (DRS/WES), FHIR or OMOP.
Federated or cross-institutional data access at scale — bringing analysis to data held by someone else.
Federal program delivery and artifact literacy — authorization packages, significant-change requests, and corrective-action plans.
Architecture depth in inference topology: hosting trade-offs, retrieval that inherits per-tenant authorization, evaluation harnesses, and guardrails.
Shipping reusable product capability out of grant- or program-funded work.

Requirements

12+ years in software engineering, including several years leading multi-team organizations through managers.
Distributed-systems and platform architecture ownership at scale — multi-tenant isolation, service decomposition, and the judgment to reduce complexity.
Domain depth in scientific or biomedical data platforms — genomics, bioinformatics, life sciences, or comparable data-intensive, workflow-driven scientific computing.
Delivery inside a regulatory boundary such as FedRAMP, HIPAA, ISO 13485, or GxP.
Reliability and modern delivery engineering: SLOs, error budgets, infrastructure-as-code, CI/CD with policy-as-code and progressive rollout.
Production AI/LLM capability shipped under a compliance regime, or AI-assisted engineering you landed, governed and measured — beyond pilots.
A track record of setting technical vision for a platform and carrying an organization there.
Bachelor’s degree in a relevant field, or equivalent practical experience.

Company overview

Velsera is a global precision medicine technology company formed in 2023 through the consolidation of three leading companies: Seven Bridges, Pierian, and UgenTec. Headquartered in Boston, Massachusetts, Velsera provides integrated AI-enhanced software and expert services that accelerate the discovery, development, and delivery of precision medicine. The company's mission is to make breakthroughs happen faster so that lives are improved sooner. Velsera addresses critical challenges in healthcare by bridging the gap between clinical and discovery workflows, enabling seamless multi-omic data identification, ingestion, secure patient data management, and analysis. Their technology platform includes solutions for multimodal data harmonization, IVD development and validation, clinical NGS interpretation, and bioinformatics analysis. With over 80 active clinical NGS lab customers and supporting more than 18,000 researchers, Velsera serves biotech and pharmaceutical companies, clinical diagnostic laboratories, NGS assay manufacturers, and non-profit/government agencies worldwide.