Bioinformatics, Senior Engineer (Image Analysis)

Job Description

Role The AI Team at Vivodyne has the opportunity to employ and advance cutting-edge research on some of the most challenging and exciting problems in science and engineering — leveraging our exceptionally feature-rich, consistent, and massive-scale human tissue imagery. As a Bioinformatics Senior Engineer (Image Analysis) you will play a pivotal role in designing, implementing, and optimizing the image analysis pipelines that form the backbone of our groundbreaking R&D efforts. You will work closely with AI researchers, microfluidics and robotics engineers, and tissue biologists to ensure that Vivodyne’s imaging data is efficiently processed and leveraged for the discovery, development, and de-risking of novel therapeutics. Responsibilities Design and implement image processing pipelines: Develop scalable, high-performance image analysis workflows — from classical filtering to advanced deep learning — that extract critical structural and functional features from 2D, 3D, and time-series biological imaging data. Apply classical and modern techniques: Utilize both tried-and-true classical methods (e.g., morphological operators, Fourier transforms, … etc.) and cutting-edge machine learning approaches to analyze complex cellular and tissue images at scale. Leverage AWS or major cloud providers: Architect and maintain compute pipelines in the cloud to handle massive datasets efficiently. Collaborate on containerization, orchestration, and CI/CD initiatives to deliver robust, production-grade systems. Optimize performance: Employ your deep expertise in applied mathematics and statistics to refine image processing algorithms for speed, accuracy, and resource efficiency, always seeking new ways to optimize throughput. Drive continuous improvement: Identify opportunities to enhance Vivodyne’s imaging platform by collaborating cross-functionally; propose and implement solutions to improve image quality, operational performance, and pipeline maintainability. Contribute to codebases and tools: Work within a greater software architecture adhering to high coding standards. Develop high-quality, well-documented, and modular code primarily in Python, with opportunities to explore C++, CUDA, or GLSL for performance-critical segments. Open source engagement: Evaluate and integrate existing open source image processing libraries and frameworks (e.g., OpenCV, ITK, scikit-image, PyTorch, TensorFlow) wherever appropriate. Domain collaboration: Partner with tissue engineers, AI/ML researchers, and other domain experts to understand experimental and scientific requirements and translate them into computational solutions. Maintain scientific rigor: Scrutinize experimental results, track system performance, and implement strategies for robust data handling, storage, and analytics while ensuring reproducibility and reliability. Communication and teamwork: Document and present technical findings to diverse audiences. Contribute to a culture of operational excellence, knowledge sharing, and collective problem-solving within the AI team and across Vivodyne. Requirements and Expectations Scientific Excellence: Stay current with trends in computer vision, machine learning, and computational imaging. Apply rigorous scientific methods for validation. Problem Solving: Take ownership of image processing challenges, using statistical reasoning and linear algebra to develop and refine algorithms. Accountability: Ensure stable, scalable, and high-quality image pipelines that meet performance and accuracy standards. Collaboration & Adaptability: Work cross-functionally with biologists, engineers, and data scientists, balancing innovation with best practices. Delivering Results: Prioritize effectively, iterating on solutions to meet short- and long-term goals while delivering on time. Architecture & Coding: Design modular, efficient solutions and build cloud-based compute pipelines using MLOps best practices. Write clean, optimized Python code; C++, CUDA, or GLSL is a plus. Financial Discipline: Optimize cloud-based decisions for cost-effectiveness without compromising performance. Communication: Convey complex ideas clearly and maintain transparency on progress, successes, and challenges. Continuous Learning & Influence: Stay ahead of emerging techniques, share insights, and contribute to Vivodyne’s culture of innovation. Qualifications Education/Experience Bachelor’s, Master’s, or PhD in Computer Science, Applied Mathematics, or a related field; or equivalent industry experience. Domain experience in biological or biomedical imaging is strongly preferred. Technical Skills Proficiency in Python with experience in libraries such as NumPy, SciPy, scikit-image, OpenCV, etc. Experience with AWS or another major cloud provider (e.g., GCP, Azure) is required. Expertise in applied mathematics, including linear algebra and statistics. Proven track record of using machine learning (e.g., PyTorch, TensorFlow) and/or deep learning methods for image analysis. Familiarity with classical image processing algorithms and approaches. Experience with C++, CUDA, GLSL is a plus. Scalability & Optimization Demonstrated experience optimizing computational pipelines and scaling complex image processing solutions in cloud environments. Strong passion for algorithmic efficiency, GPU acceleration, and compute orchestration. Mindset & Culture A love of coding and a passion for refining and deploying high-impact software solutions. Deep motivation to solve biological and medical imaging challenges and a desire to contribute to innovative therapeutic discoveries. Ability to work effectively in a fast-paced startup environment with a track record of delivering results under evolving priorities. Communication & Collaboration Excellent written and verbal communication skills to engage cross-functional teams and stakeholders. Proven ability to convert ambiguous objectives into actionable technical workstreams, aligning with broader business goals. If you thrive on building novel image processing solutions from the ground up, love coding in Python, and are passionate about applying advanced mathematics to real-world biological data, we’d love to hear from you. Come join us in our mission to transform drug discovery and development through the fusion of novel biology, robotics, and AI. #J-18808-Ljbffr