Job Description

Overview:Emmes Group: Building a better future for us all.Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience.We believe the work we do will have a direct impact on patients lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. Were looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us!About OptymEdgeOptymEdge is a global leader in ophthalmic endpoint certification, partnering with leading biopharma sponsors and CROs to ensure the quality and consistency of visual function data in clinical trials. With a reputation built on scientific expertise, operational excellence, and global delivery, weve become a trusted name in advancing treatments for sight-threatening diseases.As the field evolves, so do we. OptymEdge is expanding into technology-driven product development, creating a new generation of platforms that redefine how ophthalmic data is captured, analyzed, and leveraged across the clinical trial lifecycle. Our innovations span AI-powered imaging, digital examiner certification, and intelligent operational tools designed to anticipate trial needs, streamline oversight, and enhance decision-making.This is a rare opportunity to help shape transformative technology at the intersection of science, software, and sightxe2x80x94driving real-world impact in a field where every data point can influence patient vision.Primary PurposeWe are seeking a Senior Software Engineer (Imaging) with 5-7 years of experience to design, develop, and optimize advanced Ophthalmic imaging applications.
You will play a critical role in building scalable, AI-enabled tools for segmentation, annotation, structural biomarker extraction, and longitudinal disease tracking across Ophthalmic imaging data.You will work closely with product, clinical, and engineering teams in an agile environment to deliver innovative, production-grade imaging solutions that redefine clinical outcomes. Responsibilities:

• Design, develop, and optimize Python-based imaging pipelines for Ophthalmic image analysis.
• Implement AI-driven segmentation algorithms using frameworks like TensorFlow, PyTorch, and OpenCV.
• Build and enhance manual annotation interfaces for expert validation.
• Quantify key structural biomarkers (e.g., retinal layer thickness, fluid volumes) and enable longitudinal disease monitoring.
• Collaborate with frontend developers to integrate imaging workflows into ReactJS-based Imaging platform.
• Perform unit, integration, and validation testing aligned to medical device compliance standards (HIPAA/FDA context).
• Participate in system architecture design, API definition, and database modelling for imaging data.
• Maintain high standards of security, traceability, and performance in cloud-native environments (AWS preferred).
• Provide UAT support, respond to clinical feedback loops, and drive iterative enhancements post-MVP.
• Document technical design, workflows, and clinical validation findings meticulously.
• Mentor and review work of junior imaging engineers as required.

Qualifications:

• Bachelors or Masters degree in Computer Science, Biomedical Engineering, or a related field.
• 57 years of professional experience in medical imaging software development or computer vision.
• Strong expertise in Python and deep learning libraries (TensorFlow, PyTorch).
• Hands-on experience with medical image processing.
• Deep understanding of segmentation algorithms (CNNs, U-Nets, attention-based models).
• Practical experience with image annotation tooling and human-in-the-loop workflows.
• Experience integrating imaging pipelines into ReactJS-based web platform would be a plus.
• Knowledge of cloud deployment, REST APIs, and backend architecture for imaging applications.
• Familiarity with HIPAA compliance, healthcare data security, and clinical trial workflows is a strong plus.

• Self-driven, proactive, and ownership focused.
• Analytical thinker with a bias for execution and problem-solving.
• Collaborative mindset across clinical, product, and engineering teams.
• Strong communication and documentation skills.
• Ability to thrive in a fast-paced, impact-driven startup environment.

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