Staff Biomedical Data Manager

PathAI
1325 Boylston Street +3 more
On-site

Who this role is best for

Aimed at mid-to-senior level biomedical data professionals who can architect and govern complex data platforms.

Best fit for

  • Candidates with experience in digital pathology and ETL/ELT pipeline development
    — “Architecting and maintaining production-grade ETL/ELT pipelines using industry standard tools”
  • Individuals who have translated complex clinical needs into technical requirements
    — “translating complex partner needs into scalable technical requirements for platform teams”
  • Professionals with a strong grasp of oncology-specific data standards and regulatory frameworks
    — “Managing data sets within strict regulatory frameworks”

Things to consider

  • Fixed location in Boston, MA, though remote work may be allowed
    — “Position is fixed location based in Boston, MA office; however, telecommuting from a home office may also be allowed”
  • Requires a blend of data architecture, governance, and communication skills
    — “Partner with leadership in machine learning, biomedical data science, and program management”

How to stand out

  • Highlight experience with whole slide imaging and digital pathology data workflows
    — “Managing end-to-end Digital Pathology workflows, including ingestion, storage, and metadata extraction for Whole Slide Images (WSI)”
  • Emphasize your ability to design reusable data models and workflows
    — “Lead the design and implementation of scalable, reusable data models and workflows for novel projects”
  • Showcase your background in mapping disparate data sources to common data models
    — “Data Harmonization and Standardization, specifically mapping disparate data sources to common data models”
  • Demonstrate leadership in setting data excellence standards and cross-functional training
    — “Create and govern the core standards for technical documentation, SOPs, and cross-functional training”
  • Demonstrate technical authority in ML platforms and data integration challenges
    — “Serve as lead technical expert on the internal ML platforms, designing robust solutions for complex deployment, validation, and data integration challenges”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Maximizing company platform's capabilities
  • Architecting improvements to the system for hosting high-velocity, multi-modal histopathology data
  • Setting the standard for data excellence across the organization
  • Driving the technical roadmap for data platform evolution
  • Establishing technical standards and best practices for data management processes
Typical background
Bachelor’s degree in Biomedical Informatics, Biomedical Engineering, Public Health, Epidemiology, Biostatistics or a related fieldThree (3) years of experience as Staff Biomedical Data Manager or progressive experience in biomedical data management

Skills & requirements

Required

PythonREtl/elt PipelinesData GovernanceDigital PathologyData ArchitectureData CurationData CommunicationData HarmonizationData StandardizationData IntegrityData QualityData ManagementData ModelingData WorkflowsData IntegrationData AbstractionData ToolingData AutomationData Validation

Preferred

SparkAirflowDatabricksMachine LearningBiomedical InformaticsBiomedical EngineeringPublic HealthEpidemiologyBiostatistics

Stack & domain

PythonREtl/elt PipelinesSparkAirflowDatabricksData ArchitectureData CurationData CommunicationData HarmonizationData StandardizationDigital Pathology WorkflowsMonitoring And Observability ToolsEnvironment ManagementDockerMedical TerminologyOncologyPathologyClinical Trial StructureTNM StagingHistology CodesBiomarker StatusSensitive Data SetsBiomedical InformaticsBiomedical EngineeringPublic HealthEpidemiologyBiostatistics

About the role

Original posting from PathAI

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.  Apply online:  https://www.pathai.com/careers. Job Code: GS-SBDM.

Source: PathAI careers

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