Senior Clinical Data Engineer

At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.

MiniMed is seeking a Senior Clinical Data Engineer to join our Bioinformatics team and play a key role in developing scalable data solutions that support clinical research, medical device studies, and real-world data initiatives. This role is responsible for building and optimizing data pipelines, integrating complex data from multiple sources, and transforming raw data into high-quality datasets that enable analytics, evidence generation, and informed decision-making.

The Senior Clinical Data Engineer will collaborate with cross-functional teams, including Clinical Research, Biostatistics, R&D, and Software Engineering, to ensure data quality, consistency, and usability across a diverse data ecosystem. The ideal candidate will have strong experience with SQL, Databricks, AWS, and AWS Redshift, as well as a proven ability to operate independently and deliver results in a dynamic environment.

• Design, develop, evaluate, and maintain data pipelines, programs, and workflows used to process, validate, and analyze clinical and medical device data.

• Build and support automated ETL/ELT solutions using Databricks, PySpark, SQL, and AWS services to ingest and transform structured and semi-structured data, including JSON and CSV files.

• Collect, clean, transform, and standardize raw clinical and device data into high-quality, analysis-ready datasets for statistical analysis and reporting.

• Partner with Biostatistics and study teams to understand analytical requirements and deliver finalized datasets optimized for statistical software and downstream use.

• Collaborate with Medical Device and Software Engineering teams to align on data schemas, firmware updates, data payload specifications, and system integration requirements.

• Identify data inconsistencies, perform root cause analysis, and implement solutions to ensure data quality, accuracy, and completeness.

• Support clinical data management activities, including data mining, validation, reconciliation, and issue resolution across multiple data sources.

• Contribute to the development and execution of data management plans that support study, project, and protocol timelines.

• Provide technical support for software user acceptance testing and review training materials, instructions, and documentation related to clinical data systems.

• Serve as a liaison among Clinical Research, R&D, Biostatistics, and other cross-functional stakeholders to communicate timelines, requirements, and deliverables.

• Apply software engineering best practices, including version control, CI/CD, and code review processes, to ensure reliable and maintainable solutions.

• Work independently on multiple projects in a deadline-driven environment while maintaining a high level of quality and accountability.

• Bachelor’s degree in Computer Science, Data Engineering, Biomedical Engineering, Statistics or a related field.

• Minimum of 4 years of relevant experience in clinical data engineering, clinical data management, data analytics, or a related technical field.

• Strong experience with SQL development and query optimization in Databricks and AWS Redshift.

• Experience developing and maintaining data pipelines using Databricks, PySpark, AWS services, and AWS Redshift.

• Experience working with structured and semi-structured data formats, including JSON and CSV.

• Knowledge of clinical research data processes, clinical trial operations, and data quality principles.

• Strong analytical, problem-solving, and troubleshooting skills.

• Demonstrated ability to collaborate effectively across technical and non-technical teams.

• Strong written and verbal communication skills.

• Ability to work independently and manage multiple priorities in a fast-paced environment.

M.S/Ph.D. Computer Science, Engineering, Mathematics, Data Science

• Experience supporting clinical trials, medical device data, or regulated healthcare environments.

• Familiarity with statistical analysis datasets and collaboration with Biostatistics teams.

• Experience with Git, CI/CD pipelines, and software development lifecycle best practices.

• Knowledge of data validation, reconciliation, and regulatory expectations related to clinical data.

• Experience working with cross-functional teams including Clinical Research, R&D, and Software Engineering.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life.

We want to make every day a better day for people living with diabetes. Our team of creative innovators around the globe share a passion for finding the simplest solutions to the problems that people with diabetes face on a daily basis. For more than 40 years, we've been redefining what's possible, from intelligent dosing systems designed for real life to predictive insights that stay a step ahead, and we're dedicated to continuing to support our customers through every step of their journey — meeting them where and how they need it.

Originally posted on Himalayas