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Boston Scientific

Boston Scientific

www.bostonscientific.com

3 Jobs

50,159 Employees

About the Company

Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 40 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of health care. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions.

For more information, visit www.bostonscientific.com and connect with us on X, Instagram, and Facebook.

At Boston Scientific, you will find purpose, a place to grow and opportunities to cultivate your passions. To search and apply for open positions, visit https://bostonscientific.eightfold.ai/careers.

You may also review our social media guidelines at http://www.bostonscientific.com/social.

Listed Jobs

Company background Company brand
Company Name
Boston Scientific
Job Title
Chargé(e) de Clientèle/Customer Care Representative
Job Description
Job Title: Customer Care Representative (Clientèle) Role Summary: Provide high‑quality customer support for Boston Scientific medical‑device products, handling inbound calls, emails, order inquiries, and technical questions. Manage specialized orders via Esker and EDI platforms, collaborate with the central order processing team, resolve client disputes, and continuously improve service‑delivery processes. Expectations: - Minimum 3–5 years of customer‑service experience, preferably in medical‑technology or healthcare industry. - Bilingual competence in French (spoken and written); English proficiency is advantageous. - Strong command of SAP, Esker, Salesforce/Service Cloud, and general IT applications. - Experience with e‑commerce/order management systems. - Demonstrated ability to handle high‑volume calls smoothly, maintain customer satisfaction, and work cross‑functionally. Key Responsibilities - Respond to inbound calls and emails, addressing order details, shipping status, and returns. - Provide technical support and product information to customers. - Process and track specialized orders not handled by central order team. - Administer Esker and EDI portals, ensuring data accuracy and compliance. - Resolve customer disputes fairly and efficiently. - Support the central order processing team on queries and issues. - Participate in continual service‑improvement initiatives and adhere to established procedures. - Foster positive client relationships through timely, professional communication. Required Skills - Excellent verbal and written communication in French; solid written French (email, documentation). - Effective telephone etiquette and active‑listening skills. - Proficiency in SAP, Esker, Salesforce Service Cloud, and general office software. - Strong organizational and detail‑oriented mindset. - Quick learning of new systems and processes. - Team collaboration, adaptability, and initiative‑driven problem solving. Required Education & Certifications - Minimum post‑secondary education (High School Diploma or equivalent); Bachelor’s degree preferred. - No mandatory certifications, though certifications in customer service or medical‑device support are advantageous.
Île-de-france, France
Hybrid
20-11-2025
Company background Company brand
Company Name
Boston Scientific
Job Title
Process Development Engineer
Job Description
**Job Title:** Process Development Engineer – Medical Devices **Role Summary:** Lead the full lifecycle of process development for next‑generation advanced cardiac medical devices, from concept through manufacturing launch, ensuring quality, efficiency, and regulatory compliance. **Expactations:** - Deliver high‑quality, validated processes that reduce reliance on human visual inspection. - Drive continuous improvement and scale‑up of new technologies. - Collaborate effectively with R&D, equipment, manufacturing, and design teams to shape product specifications and manufacturing readiness. **Key Responsibilities:** - Own and optimize equipment, processes, inspections, and development builds. - Prepare development validation (DV), performance validation (PV), and commercial launch deliverables. - Provide Design for Manufacturability (DFM) input and influence engineering specifications. - Develop and validate new assembly and inspection capabilities for complex equipment. - Train and mentor engineers, technicians, and manufacturing staff during validations. - Communicate technical findings and recommendations clearly to stakeholders. - Conduct root‑cause analysis and problem‑solving in a fast‑paced environment. - Write, review, and maintain process validation documents (experiment reports, GR&R, TMVs, IQs, FMEAs). - Serve as workstream lead or core team member on new product development projects. - Ensure compliance with applicable quality systems and regulatory requirements. **Required Skills:** - Bachelor’s degree in engineering or related technical field. - Minimum 4 years of professional experience in process development or related role. - Experience in medical device or regulated industry. - Knowledge of automated inspection and/or assembly equipment. - Strong problem‑solving, root‑cause analysis, and statistical data‑driven improvement skills. - Proficiency in process verification/validation (TMVs, OQ/PQ). - Excellent written and verbal communication, decision‑making, and critical thinking. **Required Education & Certifications:** - Bachelor’s degree in engineering or equivalent technical discipline. - Professional certifications in process validation, quality engineering, or related fields are a plus (e.g., ASQ CQE, Certified Quality Engineer).
Minneapolis-st. paul, United states
On site
Junior
24-11-2025
Company background Company brand
Company Name
Boston Scientific
Job Title
Junior Data Scientist
Job Description
**Job title:** Junior Data Scientist **Role Summary:** Support the Enterprise AI team by designing, training, evaluating, and deploying machine‑learning models on structured and unstructured data. Collaborate with senior scientists, engineering, and business partners to translate analytic insights into actionable recommendations, and contribute to the organization’s AI portfolio growth. **Expectations:** - Early‑career professional (≤2 years) with a strong quantitative foundation. - Self‑directed learner who keeps up with emerging ML and GenAI trends. - Works effectively in agile, cross‑functional environments and communicates findings to technical and non‑technical audiences. **Key Responsibilities:** - Design, train, validate, and document statistical and ML models. - Perform end‑to‑end data preparation: cleaning, feature engineering, exploratory analysis. - Build reproducible code, notebooks, and ML pipelines; support model deployment workflows. - Analyze structured/unstructured datasets from internal and external sources. - Partner with data platform, engineering, and architecture teams on data quality and availability. - Conduct literature reviews, benchmark studies, and prototype new algorithms. - Translate technical findings into clear visualizations, summaries, and business recommendations. - Participate in agile ceremonies, sprint planning, and model reviews. - Follow responsible AI, data privacy, and model monitoring best practices. - Share knowledge through internal workshops and documentation. **Required Skills:** - Proficient in Python; strong command of NumPy, Pandas, scikit‑learn, and other common libraries. - Experience designing, training, and evaluating ML models. - Solid data wrangling, exploratory data analysis, and feature engineering abilities. - Effective written and verbal communication; able to explain complex concepts to diverse audiences. - Problem‑solving mindset; eagerness to learn new techniques. - Familiarity with agile development practices and collaboration tools. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Science, Statistics, Computational Biology, Engineering, or related discipline. - (Optional) Master’s degree in a related field. - Certifications in data science, ML, or cloud platforms preferred but not mandatory.
Marlborough, United states
On site
Junior
02-12-2025