What are the responsibilities and job description for the Rockstar position at NeuroDelta?
Company Description
NeuroDelta.ai is pioneering advancements in the field of longitudinal medical imaging to revolutionize how healthcare addresses chronic neurological diseases. The company’s primary focus is building a HIPAA-compliant infrastructure for processing, storing, and analyzing MRI data as a time-series, enabling accurate and reliable insights into anatomical changes over time. NeuroDelta’s innovative platform features version-controlled imaging, metadata enrichment, and AI-ready pipelines, enhancing clinical research, regulatory decision-making, and diagnostics. Driven by innovation, NeuroDelta empowers improved treatment decisions by structuring imaging data for precise and measurable analysis.
Role Description
We are seeking a versatile and dynamic individual for the role of a Rockstar at our Dayton, OH office. This is a full-time, on-site role. The Rockstar will contribute to the development and improvement of our longitudinal MRI platform by engaging in tasks such as developing, testing, and deploying solutions for processing medical imaging data. Responsibilities include collaborating with cross-functional teams, ensuring data accuracy, and supporting the creation of AI-ready pipelines. If you thrive in a fast-paced environment and are excited by the opportunity to make a significant impact, we’d love to hear from you.
Qualifications
- Strong knowledge of medical imaging data processing and experience with MRI analysis.
- Experience in developing and implementing data pipelines or database systems with a focus on accuracy and standardization.
- Understanding of metadata management, data lineage, and integration of datasets for clinical research or machine learning applications.
- Proficiency in working collaboratively with interdisciplinary teams to innovate and troubleshoot challenges.
- Flexibility, adaptability, and enthusiasm for working with cutting-edge technology to improve patient outcomes.
- Bachelor’s or advanced degree in computer science, data science, biomedical engineering, or a related field preferred.
- Prior work experience in clinical research, AI model development, or healthcare technology is a strong advantage.