Senior Engineer, Health AI (Medical Imaging & Clinical Decision Support)

Additional Location(s): US-MN-Arden Hills; US-MN-Maple Grove

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions.

About the role:

Boston Scientific ranked #2 among medical device companies on Forbes America's Best Places to Work for Engineers 2026. Whether your passion lies in systems, software, human factors, or beyond, this is a place where you can grow your career and be part of something bigger-advancing science for life.

At Boston Scientific, you'll have the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information, and training, we'll help you advance your skills and career-supported in progressing, whatever your ambitions.

The healthcare industry is experiencing rapid digital transformation, reshaping patient experiences and expectations. Boston Scientific sees this evolution as an opportunity to advance science through innovative, insights-driven digital solutions.

As a Senior Engineer, Health AI, you will design, build, validate, and deploy AI and machine learning solutions that support clinical and product outcomes across the enterprise. You will work closely with cross-functional partners across data science, clinical, regulatory, quality, cybersecurity, product, and platform teams to deliver robust, scalable, and compliant AI solutions for physicians and patients. This role emphasizes medical imaging and early-stage product lifecycle activities, from inception through demonstration, and requires a strong AI-first engineering mindset, disciplined MLOps practices, collaborative partnership, and commitment to Responsible AI.

Work model, sponsorship, relocation:

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in the local office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.

Your responsibilities will include:
Engineer end-to-end healthcare AI solutions, including medical imaging algorithms, spanning data acquisition and curation, preprocessing, feature engineering, model development, evaluation, and deployment readiness.
Demonstrate strong clinical fluency by interpreting clinical concepts, disease-state context, and workflows, and incorporating clinical informatics, labeling protocols, and ground-truth strategies into algorithm design.
Translate clinical questions into measurable machine learning objectives and clinically meaningful endpoints aligned to intended use, patient impact, and regulatory expectations.
Design and implement scalable, production-ready system architectures that meet performance, safety, privacy, cybersecurity, and regulatory requirements, including SaMD-aligned design controls where applicable.
Build reproducible development workflows with versioned datasets, code, experiments, and model artifacts, ensuring traceable lineage from data inputs to model outputs.
Lead technical execution with internal and external partners across the product lifecycle, setting engineering strategy, solution architecture, delivery plans, and integration approaches to meet clinical and product goals.
Serve as a technical bridge across Health AI, AI Engineering, Data Science, IT, Enterprise Architecture, Product, Quality, Regulatory, Privacy, and Cybersecurity teams.
Contribute hands-on in agile delivery by defining epics and stories, estimating work, managing technical dependencies, and driving measurable value delivery while supporting project planning and roadmaps.
Develop and optimize imaging and multimodal models, including segmentation, detection, classification, and quantification, using modern deep learning techniques and appropriate augmentation, sampling, and calibration methods.
Define and execute robust evaluation plans encompassing internal validation, cross-site generalization, subgroup performance, robustness, calibration, and failure-mode analysis using clinically relevant metrics.
Enable strong MLOps practices in partnership with platform teams, including CI/CD, automated testing, reproducible training, deployment, monitoring, and lifecycle management.
Deliver scalable inference solutions for imaging and non-imaging use cases, supporting batch and real-time workflows with defined SLAs, observability, and incident response processes.
Support validation, quality, and Responsible AI governance through bias and subgroup analysis, robustness testing, calibration, and real-world performance evaluation.
Produce engineering documentation and objective evidence aligned to Responsible AI and SaMD governance, supporting design controls, traceability, and audit readiness.
Champion privacy-by-design and secure engineering practices, with strong attention to PHI protection, data handling, and clinical safety considerations.
Drive continuous improvement and innovation by staying current on healthcare AI and modern machine learning methods and translating advances into governed, scalable product capabilities.
Build reusable assets, including model templates, evaluation harnesses, data validation checks, and reference pipelines, to accelerate delivery and improve consistency across programs.

Qualifications:

Required qualifications:
Bachelor's degree in computer science, engineering, data science, biomedical engineering, or a related technical field, or equivalent practical experience.
Minimum of 7 years' experience in software engineering, machine learning engineering, or applied AI.
Minimum of 3 years' experience delivering machine learning-enabled products into production environments.
Demonstrated experience developing AI and machine learning solutions for healthcare, with a strong emphasis on medical imaging and or multimodal clinical data.
Clinical domain fluency, including the ability to understand disease-state context, clinical workflows, and translate clinical needs into algorithm requirements and validation plans.
Hands-on experience working with healthcare data such as DICOM imaging, radiology reports, EHR, HL7, FHIR, pathology, waveforms, or claims data, including associated privacy, security, labeling, and data quality considerations.
Strong programming skills in Python and experience with deep learning and machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
Production engineering experience building and operating machine learning-enabled services, including APIs or batch pipelines, containerization, CI/CD, and scalable deployment patterns.
Experience with model lifecycle management, including dataset and artifact versioning, performance and drift monitoring, and reliable retraining and release processes.
Experience working within regulated product development environments, including SaMD, design controls, documentation, traceability, and risk management, in partnership with Quality and Regulatory teams.
Strong communication and documentation skills, with the ability to align technical and non-technical stakeholders on requirements, design tradeoffs, risks, and validation evidence.

Preferred qualifications:
Direct experience delivering AI or machine learning as part of medical device or SaMD programs, including contribution to regulatory submissions or audit-ready documentation.
Familiarity with applicable standards and practices for regulated medical software and clinical evaluation, such as ISO 13485, ISO 14971, IEC 62304, IEC 62366, and GMLP.
Experience applying Responsible AI principles in healthcare, including bias and subgroup analysis, interpretability, uncertainty, and human-in-the-loop workflows.
Strong background in clinical informatics and workflow integration, including radiology or PACS integration and downstream clinical workflow impact.
Experience with cloud-native machine learning and MLOps platforms, including Kubernetes, MLflow, feature stores, model registries, and monitoring and observability tools.
Familiarity with generative AI patterns applied to healthcare, including LLMs, retrieval-augmented generation, and structured extraction or summarization, with evaluation approaches suitable for regulated environments.

#LI-TM

Requisition ID: 623857

Minimum Salary: $89200

Maximum Salary: $169500

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) - see vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.

Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn't just business, it's personal. And if you're a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve.

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company's policies or protocols change with regard to COVID-19 vaccination.