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 the Clinical Data Engineering Team and the Role

As a Data Ops Engineer, you will be able to develop technical and operational skills. The role involves foundational data services and capabilities for AI development, as well as providing support to the engineering team. The role includes but is not limited to setting up pipelines for data engineering tasks, developing analysis and visualization tools for dataset analysis, and data and AI workflow optimization. We offer full hands-on experience working collaboratively on clinical studies that push the frontiers of AI in healthcare.

What will you do?

Clinical data engineering pipeline management:

• Design, build, and maintain data pipelines that facilitate seamless data ingestion, transformation, and delivery to support AI research projects.
• Collaborate with cross-functional teams to gather data requirements, understand data sources, and implement data strategies at all stages.
• Design, develop, and implement dataset analysis and visualization tools.

Clinical data optimization and integration :

• Develop preprocessing techniques to clean, normalize, and preprocess raw data, making it suitable for training and analysis.
• Apply feature engineering methods to extract relevant features that enhance the performance of AI algorithms.
• Evaluate, select, and integrate appropriate tools and technologies for data storage, processing, and monitoring.

Scalability and Performance:

• Optimize data pipelines for scalability and performance, considering factors such as data volume, processing speed, and resource utilization.
• Continuous Improvement:
• Stay up-to-date with the latest advancements in data engineering, AI research methodologies, and best practices.
• Continuously seek opportunities to enhance data operations, streamline processes, and improve the overall quality of AI research outcomes.

Who are we looking for?

• 1–2 years of experience in a similar DataOps or data engineering role, or prior exposure to comparable responsibilities through an internship.
• Bachelor's degree in computer science or a related field like information science, computer applications, or data analytics.

Experience in:

• Data science
• Computer vision
• Modular programming: Python.
• Libraries: Pandas, Matplotlib, Seaborn, JSON, etc.

Good to Have:

• Basic background of PyTorch
• Networking
• Databases - any database knowledge, preferably PostgreSQL
• Git and git usage

Basic knowledge of :

• Data visualization, cleaning, and maintaining tools
• Medical image processing
• Strong analytical and documentation skills with a keen ability to draw inferences effectively.
• Comfortable and open to working on data engineering tasks at scale.
• An individual who is a team player and has an eager-to-learn attitude.
• Ability to communicate complex ideas effectively - both verbally and in writing - in English to technical and non-technical teams.

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.

This job posting is valid only on our official LinkedIn page and the mentioned URL. We are not responsible for any job postings or advertisements on third-party sites not listed above.

Please note that our company does not charge any fees for internships or job applications. Any such requests for payment should be considered fraudulent. We strongly advise you to report any suspicious activity involving our name to the appropriate authorities.

Any unauthorized use of our job postings, company information, or data by third parties for their business activities is strictly prohibited. Such actions may be in violation of the Information Technology Act and will be subject to legal penalties under applicable laws.

The information provided in this job posting outlines the general nature of the role. It is not an exhaustive list of responsibilities, duties, or skills required. The company reserves the right to make changes to this description at any time based on business needs.

Our company is an Equal Opportunity Employer, and we do not discriminate based on race, color, religion, gender, national origin, age, disability, sexual orientation, or any other status protected under federal, state, or local laws.