We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior Software Engineer, Digital Pathology
Location
United States
Posted
5 days ago
Salary
Not specified
Job Description
Role Description
This role focuses on building and maintaining the technical infrastructure for a digital pathology ecosystem, enabling secure and efficient management of high-volume whole slide imaging (WSI) data. The Senior Software Engineer will act as the key technical bridge between image management systems, AI-driven image analysis pipelines, laboratory information systems, and enterprise data warehouses. Working within cross-functional teams spanning R&D, lab operations, and software development, this position ensures scalable, GxP-compliant integrations that directly enhance diagnostic workflows and clinical throughput. The role requires deep expertise in cloud architecture, API/middleware design, and healthcare interoperability standards. Success depends on designing robust integration pipelines, collaborating with AI and bioinformatics teams, and maintaining high system reliability in a regulated, high-impact environment. This position offers a fully remote work arrangement with a standard Monday–Friday day shift.
- Design and implement integration layers connecting image management systems, laboratory systems, and AI analysis pipelines using API, HL7, and FHIR standards.
- Develop and maintain middleware and microservices across cloud and on-prem infrastructure to orchestrate complex clinical workflows.
- Collaborate with data engineering teams to architect pipelines for structured and unstructured data ingestion into enterprise platforms.
- Define technical standards for interoperability and enforce data consistency across pathology reports, annotations, and clinical data.
- Implement secure and compliant data exchanges aligned with HIPAA, GDPR, and GxP requirements.
- Partner with AI and bioinformatics teams to design inference pipelines that route digital slides to analysis models and return results to pathologists.
- Lead troubleshooting and root cause analysis for integration failures, ensuring high availability and operational reliability.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Biomedical Informatics, or related field; Master’s preferred.
- 5+ years of experience in software architecture, systems integration, and regulated healthcare or life sciences environments.
- Hands-on experience with digital pathology, radiology (PACS/RIS), or high-content imaging system integrations.
- Expertise with cloud platforms (Microsoft Azure preferred), data platforms (Snowflake, Databricks), and API design (REST, GraphQL).
- Proven experience with healthcare interoperability standards, including HL7, FHIR, and DICOM.
- Experience integrating AI/ML models into clinical production workflows, preferably in oncology or genomics.
- Proficient in .NET, C#, Blazor, SQL, and familiar with event-driven architectures and message queuing.
- Strong analytical, problem-solving, and collaboration skills in cross-functional, regulated environments.
Benefits
- Competitive salary range $108,000–$162,000 annually, plus performance bonus.
- Fully remote work with flexible schedule.
- Comprehensive health, dental, and vision coverage.
- Company 401(k) match and Employee Stock Purchase Program.
- Tuition reimbursement and professional development opportunities.
- Generous paid time off and holidays, plus wellness programs and employee resource groups.
- Positive, collaborative, and learning-focused work environment.
Job Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Biomedical Informatics, or related field; Master’s preferred.
- 5+ years of experience in software architecture, systems integration, and regulated healthcare or life sciences environments.
- Hands-on experience with digital pathology, radiology (PACS/RIS), or high-content imaging system integrations.
- Expertise with cloud platforms (Microsoft Azure preferred), data platforms (Snowflake, Databricks), and API design (REST, GraphQL).
- Proven experience with healthcare interoperability standards, including HL7, FHIR, and DICOM.
- Experience integrating AI/ML models into clinical production workflows, preferably in oncology or genomics.
- Proficient in .NET, C#, Blazor, SQL, and familiar with event-driven architectures and message queuing.
- Strong analytical, problem-solving, and collaboration skills in cross-functional, regulated environments.
Benefits
- Competitive salary range $108,000–$162,000 annually, plus performance bonus.
- Fully remote work with flexible schedule.
- Comprehensive health, dental, and vision coverage.
- Company 401(k) match and Employee Stock Purchase Program.
- Tuition reimbursement and professional development opportunities.
- Generous paid time off and holidays, plus wellness programs and employee resource groups.
- Positive, collaborative, and learning-focused work environment.
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