Staff Biomedical Data Manager

PathAI; United States; Remote; USD 109,000 - 167,000; Full time

Job summary

PathAI, Inc. in Boston, MA is seeking a Staff Biomedical Data Manager to lead data governance and scale a multi-modal histopathology data platform. You will define standards, build scalable data models, and partner with leadership to advance clinical programs.

The role requires a Bachelor's in a biomedical field and 3+ years in biomedical data management with Python/R, Spark, and ETL pipelines, plus CI/CD with GitHub Actions and Docker. A Master’s degree is acceptable with 2 years of experience.

Qualifications

• Requires a Bachelor's degree and 3 years in biomedical data management with data architecture, curation, and communication.
• Two years in each of Python/R data wrangling, production-grade ETL/ELT pipelines, data governance and DI/DS workflows.
• Experience with data harmonization, regulatory data management, and WSI or digital pathology workflows.

Responsibilities

• Define governance for clinical/translational datasets and scale data platforms.
• Own the vision for platform capabilities and multi-modal histopathology data hosting.
• Serve as technical authority for digital pathology data and complex integrations.
• Architect end-to-end data management and quality strategy for large scale programs.
• Drive the data platform roadmap with senior leadership to enable scalable processes.

Skills

Python

R

Spark

Airflow

Databricks

GitHub Actions

Docker

ETL/ELT pipelines

Education

Bachelor's degree in Biomedical Informatics/Biomedical Engineering/Public Health/Epidemiology/Biostatistics or related field

Master's degree accepted with 2 years of experience

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.
• 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.