Data Engineer with OCR Expertise in Life Sciences
📋 Role Overview & Responsibilities
Join Our Vision:We are a GenAI startup in stealth mode, at the forefront of revolutionizing the healthcare and life sciences industries. Our mission is to harness the transformative power of Artificial Intelligence, Automation, and Analytics (A3) to drive unparalleled economic value and innovation in healthcare. By blending state-of-the-art technology with human ingenuity, mathematical rigor, and thoughtful design, we are expanding rapidly. This is a unique chance to join an innovative team and impact an industry vital to human well-being from the ground floor.
Job Description:As a Data Engineer specializing in OCR technology within our team, you will play a crucial role in managing and extracting valuable data from diverse and complex healthcare-specific documents such as electronic medical records (EMR), lab reports, and autopsy reports. These documents often come in highly variant and inconsistent formats, and your expertise will help us standardize and extract critical information, supporting our goals of enhancing diagnostic precision and patient care.
Responsibilities:Develop and refine OCR systems tailored for extracting data from highly variant and inconsistent healthcare documents, including EMRs, lab reports, and autopsy findings.Utilize Python and prominent open-source libraries (e.g., Tesseract, PyTesseract, OpenCV) to implement effective data extraction algorithms capable of handling specific nuances of healthcare data.Work closely with data scientists to clean, organize, and make extracted data accessible for advanced analytics and AI-driven health models.Enhance our data processing pipelines by integrating bespoke OCR solutions, ensuring robust data integrity and compliance with healthcare regulations.Contribute to the deployment of OCR solutions in cloud environments, focusing on scalability, security, and compliance with healthcare standards (e.g., HIPAA).Engage in full-stack development initiatives to integrate OCR technology into user-facing applications, improving the accessibility and usability of extracted data.Implement continuous integration and continuous deployment (CI/CD) practices to streamline development, testing, and deployment of OCR and data processing modules.
Required Skills:Deep expertise in Python and its libraries for data handling and image processing.Proven experience in developing OCR solutions, particularly for processing complex healthcare documents.Strong background in data engineering with a focus on maintaining data integrity and compliance within the healthcare sector.Familiarity with healthcare data privacy standards such as HIPAA.Experience with cloud platforms (AWS, Azure) and understanding of their application in a regulated industry.Knowledge of full-stack development and modern DevOps practices is a plus.
Qualifications:Bachelor’s or Master’s degree in Computer Science, Data Science, Bioinformatics, or a related field.At least 3 years of relevant experience in data engineering or a similar role within the healthcare or life sciences industry.Excellent analytical and problem-solving skills, with a strong attention to detail.Effective communication and collaboration skills, capable of working in a dynamic and fast-paced environment.
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