Principal Data Science Engineer - AI/ML & Algorithms

TransMedics, Inc.•Andover, MA

4d•Onsite

About The Position

We are currently seeking a talented and driven Principal Data Science Engineer - AI/ML & Algorithms, to join our team. The Principal Data Science Engineer will have the opportunity to develop intelligent, data-driven solutions to improve patient outcomes and clinical workflows by contributing to the life cycle of embedded and digital clinical software applications that monitor, control and preserve donated hearts, lungs, livers, and other organs on the OCS.

Requirements

BS/MS in Computer Science, Data Science, Engineering, Mathematics, or an equivalent combination of education and experience.
3+ years of relevant professional experience building and deploying machine learning solutions, with specific experience in an ML engineering or data science role.
8+ years of overall software development experience.

Nice To Haves

Proven experience designing, developing, and deploying AI/ML models in a professional setting, with specific experience in the healthcare or life sciences industry preferred.
Experience in applying AI/Machine Learning to practical uses.
Expertise in Python, including standard ML and data science libraries like scikit-learn, NumPy, and pandas.
Knowledge and hands-on experience with machine learning frameworks such as PyTorch.
Strong foundation in linear algebra, calculus, probability, and statistical modeling.
Proficiency in data manipulation, cleaning, and preprocessing techniques, as well as knowledge of SQL and NoSQL databases.
Experience with AWS data engineering services for ETL, data processing, and end-to-end development, deployment, and management of ML models.
Solid understanding of software development principles, including data structures, algorithms, and software architecture.
Excellent analytical and critical thinking skills to tackle complex, multi-layered data challenges.
Ability to clearly explain technical concepts to both technical and non-technical stakeholders.
Ability to work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions.
Understanding of data privacy regulations like HIPAA, GDPR is a plus.
Knowledge of medical device software development with compliance to IEC-62304 and FDA guidelines is a plus.
Experience in C/C++ programming language is a plus
Must be team-oriented with outstanding interpersonal and communication skills (written and verbal).
Must be detail-oriented and highly organized.

Responsibilities

End-to-end lifecycle of data-driven software products from data exploration and model development to deployment and regulatory compliance
Data-driven model and algorithm development
Design, train, and validate machine learning and traditional algorithms for clinical decision support and automation
Ensure all data handling adheres to strict regulatory standards, including HIPAA and GDPR
Work collaboratively with clinical leads, software engineers, and product teams to translate clinical needs into technical specifications and data solutions
Implement data anonymization, pseudonymization, and secure access controls to protect sensitive patient information
Guide clinical algorithmic strategy, perform reviews, and set best practices for development and validation
Explain clinical algorithmic strategy and complex technical concepts to non-technical stakeholders
Perform other TransMedics tasks and duties as assigned/required.