Founding Data Science Engineer, Data Platform

Huxley; New York (NY); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid leave

Job summary

Huxley is assisting a client in New York City to recruit a Founding Data Science Engineer for a cutting-edge data platform. You will own the platform end-to-end, set the technical direction, and build core infrastructure enabling data discovery, trust, and scalable AI reasoning across products.

You will lead architectural decisions, shape platform standards, and collaborate with product teams to ensure high data quality, governance, and reliability in a fast-moving environment.

Qualifications

• Proven experience designing, building, and operating shared data infrastructure.

Responsibilities

• Own data platform end-to-end, setting technical direction and architecture.

Skills

End-to-end ownership

Distributed systems

Cloud infrastructure

Data ingestion

Observability

Workflow orchestration

Metadata systems

AI healthcare data

Technical leadership

Job description

Founding Data Science Engineer, Data Platform

Our client, an innovative life sciences organisation in New York City, is building a cutting-edge data platform to power evidence generation and AI reasoning. They are seeking a Founding Data Science Engineer to own this platform end-to-end, setting the technical direction and creating the core data infrastructure that enables our client's team to discover, trust, and leverage data at scale.

Key Skills and Experience

• End-to-end ownership of production data platforms: Proven experience designing, building, and operating shared data infrastructure that supports multiple products and teams.
• Distributed systems and cloud infrastructure: Deep understanding of scalable, resilient systems, orchestration, and the full data lifecycle from ingestion to consumption.
• Data ingestion, storage, enrichment, retrieval, and lineage: Ability to architect robust pipelines, create shared data assets, and maintain clear data lineage.
• Reliability, observability, governance, and data quality: Track record establishing platform standards, monitoring, and controls to ensure trusted, high-quality data.
• Platform operations and incident response: Hands-on experience running production platforms, resolving issues, and continuously improving systems.
• Workflow orchestration and metadata systems: Familiarity with orchestration tools and metadata-driven architectures to manage complex data workflows.
• Data lineage and observability tooling: Building capabilities to trace data flows and provide visibility into system behaviour.
• AI, healthcare, or biomedical data platforms: Experience in these domains and with knowledge graphs or evidence management systems is highly advantageous.
• Technical leadership and architecture: Ability to make strategic architectural decisions and lead mission-critical platform initiatives at Staff, Principal, or Founding level.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.