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Network Bio

AI models trained on biobank data

Vice President of Data Engineering - Hospital Systems

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 7 years in health data, clinical informatics, electronic medical record (EMR)/health IT, or health data interoperability, including experience leading implementation, integration, or account/relationship teams.
  • Direct, hands-on experience getting hospitals live on a data-sharing or integration project, from first contact through signed agreement to production data flow.
  • Strong relationship-building skills with hospital IT, compliance, and operational stakeholders, and the ability to serve as the hospital's steady day-to-day operator.
  • Working knowledge of HIPAA, protected health information (PHI) handling, data use agreements, and business associate agreements (BAAs), including translating them into technical implementation requirements; ability to review contracts and statements of work (SOWs) with legal.
  • Comfort with simple, secure, file-based data transfer methods; deep experience with health data interoperability standards such as HL7, FHIR, and CCDA is not required.
  • Comfort with cloud deployments and Terraform-based infrastructure-as-code across a Trusted Research Environment (TRE) and standalone NewCo environment, and ability to support day-to-day security practices.
  • Hands-on coding ability, such as SQL for feasibility queries and Python for data processing.
  • Entrepreneurial approach and comfort operating as a hands-on individual contributor while building toward leading a team as the function grows.

Responsibilities

  • Serve as Network Bio's primary point of contact for assigned hospital and health system partners, including IT leadership, compliance and privacy officers, and operational stakeholders.
  • Lead individual data-access negotiations from first conversation through signed agreement and live data flow, in partnership with legal.
  • Maintain and grow existing hospital relationships to expand data scope and depth, including expansion from structured data to physician notes and other unstructured clinical documentation.
  • Act as the trusted operator hospitals rely on to deliver commitments made at the strategic level.
  • Run end-to-end implementation of data connections to hospital and health system partners using simple, secure, file-based data transfer methods.
  • Determine and execute the appropriate technical pathway for each partner, including secure file transfer, on-site or honest-broker processing, and de-identification pipelines, based on the institution's systems, governance, legal agreements, and constraints.
  • Manage integration project timelines and technical troubleshooting, and coordinate Network Bio's engineering team with hospital IT teams.
  • Own infrastructure across the Trusted Research Environment (TRE) and NewCo environments.
  • Manage cloud deployments and apply information-security judgment when handling PHI in the TRE and NewCo environments, including ensuring PHI does not leave the environment for a local device; partner with a fractional security officer on day-to-day security practices.
  • Write and maintain Terraform-based infrastructure-as-code to provision and manage infrastructure.
  • Ensure each implementation meets HIPAA, HITECH, applicable state privacy law, and each partner hospital's data-governance requirements.
  • Review contracts and SOWs with legal to ensure agreed terms are technically workable before implementation.
  • Operationalize data use agreements and BAAs, ensuring technical implementation matches contracted terms.
  • Apply and enforce data-handling standards for encryption, access controls, audit logging, minimum necessary use, and de-identification on every project.
  • Identify and escalate compliance or security risks before they become partner-facing or regulatory issues.
  • Write code and perform data processing to ingest, normalize, and validate incoming clinical data from each hospital source.
  • Identify and resolve data-quality, mapping, and structural issues unique to each hospital's EMR configuration.
  • Write inclusion/exclusion (I/E) criteria specifications and translate them into SQL to run feasibility queries and patient counts within partner environments.
  • Support downstream data mining and utilization by ensuring unstructured data, such as physician notes, is captured, and apply knowledge of optical character recognition (OCR) and natural language processing (NLP)-based entity and information extraction to make it usable by the broader team.
  • Work as a hands-on individual contributor across hospital implementation, integration engineering, and account management, with the opportunity to build and lead a team as the company scales, including clinical informatics, data engineering, and cloud engineering roles.
  • Develop repeatable playbooks and processes to make each new hospital implementation faster, more predictable, and lower-risk.
  • Report implementation status, risks, and pipeline health regularly to the Chief Business Officer and executive leadership.

Desired Qualifications

  • Experience handling unstructured clinical data, such as physician notes, as part of an implementation, including understanding text-extraction technologies such as OCR and NLP-based entity and information extraction used in data mining.
  • Prior experience at an EMR-adjacent company, health data spinout, health information exchange (HIE), contract research organization (CRO), or similar organization; implementation or delivery leadership experience at similar organizations is relevant.

About the Company

Network Bio

AI models trained on biobank data

Network Bio creates disease-specific AI models from large-scale human biological data to advance personalized medicine. It links tissue samples, blood, molecular data, and long-term clinical outcomes from major U.S. biobanks, harmonizes them into AI-ready datasets, and trains a bio-native AI system that can apply learned biology principles across diseases to support diagnostics, biomarker discovery, patient stratification, and drug development. Unlike many peers, it builds a shared, standardized data network across multiple institutions for broader model generalization and cross-disease use, backed by partnerships such as NVIDIA and corporate validation deals. Its goal is to develop General Medical Intelligence that understands disease biology at a fundamental level and applies it across medical domains.

Company size
11-50
Company stage
Early VC
Total funding
$50M
Headquarters
New York City, United States
Founded
2022

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