AI Research Scientist

Location: Onsite - Origin Medical Research Lab, 644, 12th Cross Road, HSR Layout, Bengaluru, Karnataka 560102

Team: AI Research

Job Type: Full-Time

Skills: Deep Learning, convolutional neural networks, optimization, hyperparameter tuning, model search, model analysis, Python, Pytorch, Medical Imaging

Origin Medical seeks highly talented and self-motivated individuals ready to build impactful products to democratize quality prenatal care globally for every expecting mother. At Origin Medical, we offer an empowering work environment that allows you to take full-ownership of your work and fosters collaboration and personal growth. We look for exceptional individuals and outliers who want to join us on this mission. Embark on a purpose-driven career journey by joining our team.

About Origin Medical Research Lab

Origin Medical Research Lab is the research arm of Origin Medical. Here, we strive to bring together the best and brightest minds at the intersection of AI and healthcare to fulfill Origin Medical’s mission.

By combining the knowledge of healthcare and AI, it is on a journey to build state-of-the-art solutions aimed at supporting a broad spectrum of healthcare providers in rural and urban communities, allowing them to practice at the top of their licenses. With AI in the imaging workflow, clinicians can more confidently deliver timely interventions, enhance pregnancy outcomes, identify high-risk pregnancies to reduce maternal mortality, and significantly lower infant mortality rates.

Origin Medical, headquartered in Cambridge, Massachusetts, USA, is driven by a mission to advance maternal health equity by improving access to quality prenatal care with artificial intelligence.

About AI Research Team and the Role

Origin Medical’s flagship product is powered by our cutting-edge deep learning algorithms for medical image recognition. As an AI Research Scientist, you will be involved in envisioning, designing, developing, and deploying these cutting edge technologies to solve real world challenges in medical imaging. This is a highly collaborative and cross functional role where you will work with multiple external (Clinicians, Health systems, Regulators) and internal teams (Data Engineering, Regulatory, Clinical Research, Product, and Software Engineering teams) across R&D life cycles. You will focus on formulating research hypothesis and leading research projects, and stay updated with the latest advancements in the field of deep learning and image recognition for medical imaging.

What will you do?

AI Algorithmic Research:

• Design and validation of novel AI (deep learning) methodologies, algorithms, and techniques for solving complex challenges in medical image recognition (e.g., classification/ semantic segmentation/object detection/ landmark detection, image translation and generation).
• Validate novel technologies for safety, efficacy at various stages of product development life cycle.
• Enhance the effectiveness, scalability, and precision of existing AI algorithms.
• Engage in scientific and technical writing for communication of scientific ideas with the community.

Data Analysis:

• Analyze datasets to identify patterns, trends, and insights that can improve the learning, generalizability, and robustness of AI models.
• Formulate a data preparation and engineering strategy for R&D.

Technology Translation:

• Work with Product, Software Engineering, Clinical Research and Regulatory teams in integration of AI with flagship products and successful deployment in health systems.

Team and Project Management:

• Assess the effectiveness of the team and processes, and provide guidance, mentorship, and feedback when required.
• Monitor project progress, identify issues, and implement mitigation strategies to ensure on-time delivery.
• Promote the use of appropriate development frameworks, processes, and tools and be involved in opportunity identification for the team.

Who are we looking for?

Must Haves:

• Ph.D. in AI for computer vision/image recognition (medical imaging is plus)
• Track record of good publications (peer-reviewed journals and conference presentations)
• Proficiency and working experience in general machine learning and AI R&D: convolutional neural networks, optimization, hyperparameter tuning, model search, model analysis, etc.
• Proficiency and working experience in machine learning libraries and frameworks: PyTorch (preferable), Tensorflow, Keras, etc.
• Ability to quickly read, understand and implement academic publications
• Strong documentation skills and proficiently analyze project results and derive insights
• Ability to communicate ideas effectively written and verbally in English

Good to Have:

• Understanding of statistical approaches (biostatics is plus) for analysis of AI model performance
• Basic understanding of git and git workflow is a plus
• Basic understanding of software architecture and design, especially object-oriented design is a plus
• Basic understanding of databases is a plus
• Prior startup (healthcare and AI) experience

Working at Origin Medical Research Lab

• You will receive competitive monthly compensation aligned with industry standards. Additionally, we provide a comprehensive benefits package, including Provident fund, Paid annual leaves, Sick leaves, Wellness allowance, Insurance allowance
• You will work with an exceptional team of highly qualified individuals who strive towards a common goal of delivering a product that improves the standard of care for expecting mothers everywhere.
• You will also collaborate with renowned clinicians, AI scientists, and business leaders from around the world.
• At Origin Medical Research Lab, we take pride in fostering an inclusive and optimistic company culture that places great value on collaboration, teamwork, and work-life balance. As a valued member of our team, you will have the opportunity to join a supportive environment where individuals genuinely care about each other's success and well-being. Our dedicated colleagues are always ready to lend a helping hand and wish you nothing but the best in your professional journey.