Staff Biomedical Data Manager

PathAI; Irving (TX); On-site; USD 109,000 - 167,000; Full time

Job summary

PathAI, Inc. in Boston, MA is seeking a Staff Biomedical Data Manager to lead the governance and architecture of clinical and translational research datasets.

You will define scalable data platforms and serve as the technical authority for digital pathology data, collaborating with leadership across ML, translational research, and product teams. This role focuses on end-to-end data management for multi-modal histopathology data, building reusable data models, and guiding deployments with CI/CD

Qualifications

• Requires Bachelor's degree in Biomedical Informatics, Biomedical Engineering, Public Health, Epidemiology, Biostatistics, or related field.
• Three years of experience as Staff Biomedical Data Manager or progressive experience in biomedical data management focusing on data architecture, curation, and communication.
• Two years in Python or R for large-scale data wrangling, statistical modeling, and automated reporting.
• Two years building production-grade ETL/ELT pipelines using Spark, Airflow, Databricks, or similar.
• One year managing end-to-end Digital Pathology workflows (WSI) including ingestion, storage, and metadata extraction.
• One year CI/CD for data (GitHub Actions), data monitoring and observability tools, and environment management (Docker).
• Experience with oncology pathology data or clinical trial data and handling sensitive datasets.

Responsibilities

• Define governance for clinical and translational research datasets and how they are hosted.
• Own the vision for scalable data platform capabilities and improve systems for high-velocity, multi-modal histopathology data.
• Serve as the technical authority for digital pathology data and set standards across partnerships.
• Architect end-to-end data models and workflows for large-scale programs and ensure data integrity.
• Drive the technical roadmap for data platform evolution with senior leadership for long-term opportunities.
• Lead documentation standards, SOPs, and cross-functional training for data teams.
• Oversee deployment validation and lifecycle management of major algorithm deployments.
• Develop tooling to improve data quality and reduce time to delivery.

Skills

Python

R

ETL/ELT pipelines

Spark

Airflow

Databricks

Docker

GitHub Actions

SQL

Data governance

Education

Bachelor’s degree in Biomedical Informatics or related field

Master’s degree

Tools

Spark

Airflow

Databricks

Docker

GitHub Actions

SQL

Job description

Employer: PathAI, Inc.

Title: Staff Biomedical Data Manager

Location: 1325 Boylston Street, Suite 10000, Boston, MA 02215

Duties: Partner with leadership in machine learning, biomedical data science, and program management to define how clinical and translational research datasets are governed, structured, and scaled. Own the vision for maximizing company platform's capabilities and architect improvements to the system for hosting high-velocity, multi-modal histopathology data. Serve as primary technical authority for digital pathology data domain, interfacing with partners on complex integrations and setting the standard for data excellence across the organization. Architect and own the end-to-end data management, governance, and quality strategy for large scale, multi-modal clinical programs (including whole slide imaging). Drive the technical roadmap for data platform evolution, partnering with senior leadership (Algorithm Product, Translational Research) to define long-term opportunities and scalable process architecture. Establish technical standards and best practices for data management processes, ensuring consistency and scalability across products and partnerships. Serve as lead Subject Matter Expert for the digitalization of clinical data, translating complex partner needs into scalable technical requirements for platform teams. Lead the design and implementation of scalable, reusable data models and workflows for novel projects, engineering solutions that minimize bespoke work. Serve as lead technical expert on the internal ML platforms, designing robust solutions for complex deployment, validation, and data integration challenges. Oversee and automate the successful execution, validation, and lifecycle management of all major algorithm deployments, ensuring data integrity from ingestion to analysis. Innovate and engineer new solutions and tooling to abstract data workflows, improve data quality, and reduce time to delivery. Define and implement the long-term strategy for team tooling and efficiency, identifying, vetting, and championing the adoption of new technologies. Provide technical leadership and definitive guidance on the team's most complex data-related barriers, fostering a culture of innovation and proactive problem solving. Create and govern the core standards for technical documentation, SOPs, and cross-functional training. Position is fixed location based in Boston, MA office; however, telecommuting from a home office may also be allowed.

Requirements

Requires a Bachelor’s degree in Biomedical Informatics, Biomedical Engineering, Public Health, Epidemiology, Biostatistics, or a related field plus three (3) years of experience as Staff Biomedical Data Manager or progressive experience in biomedical data management, with a focus on data architecture, curation, and communication. Experience may be gained concurrently and must include:

Two (2) years in each of the following:

• Using Python or R for large-scale data wrangling, statistical modeling, and automated reporting
• Architecting and maintaining production-grade ETL/ELT pipelines using industry standard tools (Spark, Airflow, Databricks, or similar)
• Managing data sets within strict regulatory frameworks
• Data Harmonization and Standardization, specifically mapping disparate data sources to common data models.

One (1) year in each of the following:

• Managing end-to-end Digital Pathology workflows, including ingestion, storage, and metadata extraction for Whole Slide Images (WSI)
• Utilizing CI/CD for data (GitHub Actions), data monitoring and observability tools, and environment management (Docker)
• Working with medical terminology (oncology and pathology) or clinical trial structure
• Working with oncology-specific data archetypes, including TNM staging, histology codes, and biomarker status
• Working with sensitive data sets.

Alternatively, will accept a Master’s degree and two (2) years of experience.

Salary: $108,750 - $166,750/year. Multiple positions. Job Code: GS-SBDM.