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Field Clinical Specialist Crm West Paris jobs at Boston Scientific in France

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Today
BS

Boston Scientific Senior Data Platform & MLOps Engineer EMEA - Paris France, Ile-de-France

Limitless High-tech career opportunities - Expoint
Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata. Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows. Monitor platform...
Description:

France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead


Your role in Data & AI

As a Senior Data Platform & MLOps Engineer, you will design, build, and operate the cloud data platforms that powers analytics and AI solutions across EMEA. You will partner closely with data engineers, AI engineers, data scientists, product managers, architects, and governance teams to create secure, reliable, and reusable platform services. This role combines hands-on engineering with cross-functional collaboration and plays a key part in implementing our new global data strategy.

You will work across a wide range of platform components, from data ingestion and orchestration to observability, security, and automation, ensuring that regional requirements such as GDPR and data residency are built into platform design without slowing innovation.

Crucially, you will build and maintain the shared infrastructure that enables AI engineering and data science teams to develop, deploy, and scale machine learning solutions efficiently and responsibly. Your work will accelerate the delivery of AI-driven insights and automation across EMEA, ensuring that advanced analytics and ML capabilities are grounded in a secure, compliant, and scalable data foundation.

What you will do

You will design, build, and operate cloud data platform components, including data lakes, warehouses, streaming systems, orchestration layers, and metadata tooling. Your work will focus on making these services secure, observable, automated, and scalable, enabling analytics, AI, and data science teams to innovate with confidence.

In parallel, you will design, implement, and maintain MLOps pipelines that support the full machine learning lifecycle, from experimentation and model training to deployment, monitoring, and continuous improvement. You will embed model governance, lineage tracking, and performance observability into the platform, ensuring that ML solutions are reliable, compliant, and production-ready. You’ll also collaborate closely with data scientists and AI engineers to streamline model delivery using modern tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.

In this role, you will:

  • Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata.
  • Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows.
  • Monitor platform and model health, pipeline performance, latency, and costs, driving continuous optimization.
  • Collaborate with global engineering and architecture teams to deliver infrastructure-as-code, secure patterns, and reusable services.
  • Translate business and product needs into reusable platform and MLOps capabilities, templates, and standards.
  • Provide guidance and coaching to teams on best practices, self-service tooling, and platform adoption.
  • Strengthen observability, data quality, and compliance through metrics, logging, lineage, and GDPR-aligned controls.
  • Contribute to global architecture and platform standards while representing EMEA-specific requirements and priorities.

We’re seeking someone with deep engineering craft, strong MLOps expertise, and the ability to balance speed with governance in a complex environment. You enjoy solving platform challenges, building scalable, reusable patterns, and enabling data and AI teams to develop, deploy, and scale models efficiently. You do not need a MedTech background, though experience in regulated industries or working with sensitive data is an advantage.

Must-haves (the practical elements)

  • Bachelor’s degree in computer science, engineering, or a related field, with 5–8+ years of experience in data, platform, or MLOps engineering.
  • Strong cloud experience, particularly with AWS and Snowflake (Azure is a plus), combined with hands-on skills in Python, SQL, and distributed processing frameworks (e.g., Spark/EMR).
  • Expertise with infrastructure-as-code (Terraform or similar), CI/CD pipelines (GitHub Actions, Azure DevOps), and containerized/orchestrated environments (Docker, Kubernetes).
  • Demonstrated ability to design, implement, and maintain MLOps pipelines covering model training, deployment, monitoring, and retraining, using tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.
  • Model lifecycle management: Familiarity with model registries, feature stores, and governance frameworks that include versioning, lineage tracking, explainability, and compliance.
  • Experience in implementing observability for ML and data systems, including metrics collection, model-drift detection, and performance dashboards.
  • Security and compliance: Solid understanding of cloud security best practices (IAM, encryption, secrets management, policy-as-code) and the ability to design solutions aligned with governance and regulatory requirements.
  • Strong communication and collaboration skills across technical and non-technical stakeholders, fluency in English, and eligibility to work in one of the listed hub locations.

We also expect familiarity with

To thrive in this role, you should feel comfortable with, or be eager to grow in, these areas:

  • Modern data lakehouse architectures, data mesh concepts, and event streaming platforms (Kafka, Kinesis).
  • End-to-end MLOps lifecycle management, including CI/CD for machine learning models, model performance monitoring, and automation best practices.
  • Enterprise data catalogs (Collibra, Alation, Purview), documentation practices, and developer experience design.
  • Batch, micro-batch, and streaming workloads, cost optimization strategies, and large-scale or regulated environments.
  • Understanding of governance and compliance frameworks (GDPR), data residency requirements, and secure access models.

Bonus points

  • Experience in MedTech, Pharma, Consulting, or other regulated industries.
  • Exposure to AI/ML workflows, MLOps pipelines, semantic layers, feature stores, or GenAI-assisted tooling.
  • Strong interest in coaching, knowledge sharing, and working in large, multinational teams.

Why this role matters

This position sits at the heart of our new enterprise data strategy. The systems you build will provide the foundation for everything from operational reporting to advanced analytics, AI, and connected digital products. You will join a global community of engineers and architects who collaborate closely, share practices across regions, and collectively shape a new platform that will serve Boston Scientific for many years to come.

Because this is a greenfield transformation, you will have significant scope to influence architecture, establish standards, and design solutions that balance speed, governance, and sustainability. Your work will help accelerate how data improves decision-making, supports clinicians, and ultimately enhances patient outcomes.

Interview process

If you are excited by the idea of building secure, scalable, and well-engineered data platforms that enable others to innovate, we would be happy to hear from you.

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Yesterday
BS

Boston Scientific EMEA Data Product Manager & Owner - Paris France, Ile-de-France

Limitless High-tech career opportunities - Expoint
Product vision & strategy: Define a 12–24‑month vision, value hypotheses, and positioning for EMEA data products, maintain an outcome‑based roadmap aligned with enterprise standards and local needs. Backlog ownership &...
Description:

France-Île-de-France; Germany-Düsseldorf; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

ADay in the Lifeof the EMEA Data Product Manager & Owner:

You’ll begin your day by reviewing data products performance and reliability signals across your portfolio - usage and adoption trends, data quality scores, pipeline SLAs/SLOs, and customer feedback. You’ll meet with internal customers to connect business outcomes to clear data products objectives, refining priorities to unlock measurable value.

When EMEAspecific regulatory constraints (e.g., GDPR) arise, you’ll partner with Legal, Security, and HR to chart compliant pathways that keep delivery moving.

You will work with data engineering, platform, architecture and governance teams to clarify data contracts, schemas, lineage, and access models, ensuring every increment is productionready and governed by design. You’ll groom the roadmap and backlog, decomposing epics, sharpening acceptance criteria, and balancing new capabilities with technical debt, observability, and cost optimization. You’ll demo recent increments, capture user feedback, and turn it into testable stories that improve usability, trust, and performance. You’ll brief sponsors on value realized and present investment options for the next phases.

On a monthly rhythm, you’ll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap.

As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams selfserve trustworthy, governed data at scale.

The role:

Reporting to the Data Strategy & Enablement Sr Manager, the EMEA Data Product Manager & Owner is accountable endend for strategy and dayday delivery of data products

You will translate business outcomes into product capabilities, manage scope and trade

Success requires a blend of product strategy, stakeholder leadership, and handson ownership to ship secure, compliant, and scalable data products that power analytics, AI, and operational workflows across the region.


Key Responsibilities:

  • Product vision & strategy: Define a 12–24month vision, value hypotheses, and positioning for EMEA data products, maintain an outcomebased roadmap aligned with enterprise standards and local needs.
  • Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.
  • Value & metrics: Establish VIPs/KPIs/OKRs (adoption, timetodata, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.
  • Data governance by design: Embed privacy, security, quality, and lifecycle controls (policies, lineage, access models, retention, auditability) into every increment, ensure GDPR compliance and data residency adherence.
  • Data contracts & semantics: Maintain versioned schemas and contracts, define business rules and semantic layers that ensure interoperability across domains.
  • Platform leverage & reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting countryspecific requirements.
  • Stakeholder & change leadership: Communicate clearly at all levels; manage dependencies and risks, prepare business cases, Investment Board inputs, release notes, and adoption communications.
  • Incident, risk & release management: Triage issues, lead RCA, and prioritize preventative fixes, plan releases and change controls, coordinate rollbacks/hotfixes where needed.
  • Enablement & adoption: Publish documentation, examples, and learning paths, champion catalog discoverability, access requests, and community channels.
  • Financial stewardship: Own product budgets/forecasts, track benefits realization and ROI, report performance and outcomes to sponsors and Finance partners.
  • Global alignment: Partner with global product, platform, and architecture teams to align roadmaps, share learnings, and represent EMEA needs and impact.

What you will need:

  • Bachelor’s in Business, Computer Science, Engineering, or related field.
  • 7–10+ years across product management/ownership, data platforms, analytics, or digital strategy. Medtech/pharma/consulting experience is a plus.
  • Proven success delivering data products from concept to scaled adoption (data product mindset desirable).
  • Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
  • Practical understanding of ELT/ETL, event streaming, data modeling, semantic layers, and production operations (SLAs/SLOs, observability).
  • Expert backlog management, story writing, acceptance testing, and agile delivery at scale (Scrum/Kanban).
  • Excellent communication and facilitation, able to influence executive, technical, and nontechnical audiences.
  • Technical fluency and eagerness for continuous learning in Data & AI capabilities and products.

What do you offer:

  • A passion for enabling teams with trustworthy, usable data, and a bias for measurable outcomes.
  • Ownership mindset with high accountability for user satisfaction and product reliability.
  • Pragmatic product instincts: you simplify, focus, and ship, balancing new value with platform hygiene and cost.
  • Curiosity for emerging capabilities (semantic modeling, GenAI augmentation …etc.) and how to apply them responsibly.

What do we offer:

  • A chance to shape the EMEA data product portfolio and set enterprisewide standards.
  • A collaborative, global network and supportive coaching culture focused on your growth.
  • Opportunities to lead highimpact initiatives that advance analytics and AI adoption across diverse markets.
  • A coaching culture environment focusing on your success and development!
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Yesterday
BS

Boston Scientific Field Clinical Specialist CRM Rennes France

Limitless High-tech career opportunities - Expoint
Act as a primary resource forclinical support in the areas of case coverage and basic troubleshooting for company products. Work is driven by Customer demand and pre-planned support requirements and...
Description:

France-Centre-Val de Loire

About the Role
The Field Clinical Specialist (FCS) provides field/remote clinical, technical and educational support to assigned accounts at a Territory, Regional, National or EMEA level.

Working with the Cardiac Rhythm Management (CRM) portfolio, this role covers Limoges, the South West of France, with some additional case support as and when required by client needs. Work is driven by Customer demand and pre-planned support requirements, and the primary focus is case support, using clinical expertise to influence Customer usage of the full portfolio.

This remote field-based role offers a permanent position and requires extensive travel across Limoges, the South West of France (up to five days per week).

Your responsibilities will include:

  • Act as a primary resource forclinical support in the areas of case coverage and basic troubleshooting for company products.
  • Work is driven by Customer demand and pre-planned support requirements and may require occasional weekend work.
  • Attend cases in-person/remotely with our customers and advise physicians on clinical attributes/techniques associated with our products.
  • Ensure timely collection and reporting of all required medical documentation pertaining to our procedural device operation.
  • Support the team to achieve projected sales goals and increase sales revenues.
  • Develop a deep understanding on the workflows and specificities of each hospital and business relationships with healthcare personnel (e.g. through informal conversation, meetings, participation in conferences) to make new contacts in hospital departments and to identify key decision makers.
  • Respond to complex customer needs and complaints regarding products and service by developing creative and feasible solutions or working with other related personnel (e.g., sales, clinical, research, marketing, technical support) to develop optimal solutions.
  • Record customer information and activities in company’s CRM system: use the system as an alignment tool with other commercial roles.
  • Provide education support on product usage and customer training.
  • In this role, you will be responsible for Bordeaux, the South West and West of Franceandmay on occasion be required to support colleagues in neighboring regions.
  • This remote field-based role requires frequent weekly travel acrossSouth West and West of France


What are we looking for in you:

  • Clinical experience within Cardiac Rhythm Management (e.g., as a Field Clinical Specialist, Cardiac Physiologist, or similar) is beneficial.
  • Successfully completed degree studies (or equivalent) within Biomedical Sciences or healthcare subject is beneficial.
  • Strong communication skills.
  • Can understand and communicate complex technical and clinical details.
  • Can rapidly adapt to a very dynamic marketplace.
  • Strong team player, collaborative, can build relationships and work cross-functionally.
  • Self-motivated and can influence others.
  • Flexible, adaptable but focused and persistent.
  • Willing and can travel extensively as required by workload.
  • Professional working proficiency (or above) language skills in both French and English.

What we can offer to you:

  • Experience in a groundbreaking multinational company with attractive benefits.
  • Inspirational colleagues and culture.
  • Career development.
  • Fast growing and innovative environment.
  • A company team culture.
  • International opportunities.
  • Excellent training/development programs.
  • A permanent position.
  • A remote field-based role.
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Yesterday
BS

Boston Scientific Specialist Facilities France, Nouvelle-Aquitaine

Limitless High-tech career opportunities - Expoint
Ensure that the entire facility or plant is operating effectively and efficiently. Review and keep track on quality records such as cleaning records, pest control, maintenance reports, etc. Supervision of...
Description:

Costa Rica-Coyol

About the Role:

To support the plant facilities operations and give support on quality records such as cleaning records, pest control, maintenance reports, etc

You’re Responsibilities Include:

  • Ensure that the entire facility or plant is operating effectively and efficiently.
  • Review and keep track on quality records such as cleaning records, pest control, maintenance reports, etc
  • Supervision of our facilities services, specifically the cafeteria, transportation, and cleaning operations, during shifts B and C
  • Assisting in Budgeting and cost control on projects and maintenance.
  • Schedule utilities equipment and building maintenance activities.
  • Gives technical guidance (supervise) to facilities technicians and contract personnel. Interface with various vendors that support the plant and its operating systems
  • Keep track of CEWN permits, as part of this tracking, the Facilities Trainee/coordinator shall assign consecutive number, route them for signatures and proper communication of the job completion. In addition to that, the Facilities Trainee/ coordinator shall follow up the CEWN closure process and keep the records as a quality register.

What We’re Looking For

  • Bachelor’s degree in Mechanical, Industrial Engineer or related
  • English Level: 70-79%.
  • Experience: At least 1 years
  • Autocad.
  • Computerized preventine maintenance.
  • Availability to worknight shift.

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21.11.2025
BS

Boston Scientific Talent Community-Field Clinical Specialist- Electrophysiolog... France, Occitania

Limitless High-tech career opportunities - Expoint
Application Leadership:Manage and support core manufacturing applications (e.g. MES, Training, Equipment Management), ensuring high availability, performance and alignment with operational needs. Project Management:Lead end-to-end development and implementation of new systems...
Description:

Costa Rica-Heredia

Hybrid Roles:

Key Responsibilities

  • Application Leadership:Manage and support core manufacturing applications (e.g. MES, Training, Equipment Management), ensuring high availability, performance and alignment with operational needs

  • Project Management:Lead end-to-end development and implementation of new systems and upgrades, including requirements gathering, vendor selection, integration, testing and rollout

  • System Optimization:Identify opportunities to improve system efficiency, data accuracy and user experience through automation, customization and integration

  • Vendor Management:Coordinate with external vendors and service providers to ensure timely delivery, support and compliance with SLAs

  • Compliance and Security:Ensure applications meet regulatory requirements (e.g. FDA, ISO) and follow cybersecurity best practices


Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering or related field

  • 5+ years of experience in IT application management within a manufacturing environment

  • Strong knowledge of manufacturing systems such as MES, preferably Siemens Opcenter CORE

  • Experience with cloud platforms (AWS, Azure, etc), system integration, data application architecture and process automation

  • Familiarity with continuous improvement methodologies or lean manufacturing concepts

  • Excellent communication, problem-solving and project management skills

  • Ability to work in a fast-paced, cross-functional environment

Preferred Skills

  • Experience of working in a regulated industry like Medical Devices or Pharma

  • Experience with Industry 4.0 technologies (IoT, predictive maintenance, digital twins) and AI

  • Knowledge of data platforms (like Snowflake)

  • Software validation and automated testing methodologies and tools

  • Certifications in PMP, ITIL, or relevant technologies

  • Multinational or multi-site manufacturing experience

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21.11.2025
BS

Boston Scientific Sr Clinical Trial Manager Oncology France, Ile-de-France

Limitless High-tech career opportunities - Expoint
Embolization technologies. TheraSphere™ Y90 transarterial radioembolization. Ablation technologies. Lead strategic and operational planning of interventional oncology trials. Manage global clinical studies in alignment with strategy, budget, and SOPs. Collaborate on...
Description:

OurInterventional Oncology and Embolization (IO&E)portfolio empowers physicians to treat tumors less invasively. It includes:

  • Embolization technologies
  • TheraSphere™ Y90 transarterial radioembolization
  • Ablation technologies
About the Role: Sr. Clinical Trial Manager – Oncology

, you will lead cross-functional teams in the execution ofin oncology. This role emphasizes agility, learning, and creative problem-solving to accelerate the development of breakthrough cancer therapies.


Key Responsibilities
  • Lead strategic and operational planning of interventional oncology trials
  • Manage global clinical studies in alignment with strategy, budget, and SOPs
  • Collaborate on development of study materials, systems, and regulatory submissions
  • Engage with external physicians and key opinion leaders (KOLs)
  • Oversee clinical trial budgets (up to 25%) including forecasting and variance reviews
  • Direct CROs and clinical vendors
  • Ensure audit readiness and risk management throughout the study lifecycle
  • Present study progress, data, and risks to leadership
  • Provide clinical input to product development teams
  • Domestic travel: 10–25%
Required Qualifications
  • Bachelor’s degree with 5+ years of oncology-related experience
  • 1–3 years in early feasibility oncology clinical research
  • 1–3 years of project/trial management experience
  • 1–3 years of financial and budget management experience
  • Experience working with CROs and clinical vendors
Preferred Qualifications
  • Experience in solid tumor , medical device , or drug development
  • Familiarity with product development teams
Key Competencies
  • Innovative thinking and problem-solving
  • Strategic execution with minimal supervision
  • Strong collaboration and influence across global stakeholders
  • Adaptability in dynamic and uncertain environments
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21.11.2025
BS

Boston Scientific Senior Field Clinical Engineer-Electrophysiology France, Ile-de-France

Limitless High-tech career opportunities - Expoint
Manage clinical trial activity within your assigned territory to meet corporate and departmental objectives. Complete site Interest Visits and Site Initiation Visits. Educate clinical investigators on trial protocols, clinical processes,...
Description:

France-Auvergne-Rhône-Alpes; Belgium-Diegem; France-Bourgogne-Franche-Comté; France-Bretagne; France-Centre-Val de Loire; France-Grand Est; France-Hauts-de-France; France-Normandie; France-Nouvelle-Acquitaine; France-Occitanie; France-Pays de la Loire; France-Provence-Alpes-Côte d'Azur; France-Voisins le Bretonneux; France-Île-de-France; Ireland North - Belfast; Ireland North - Derry; Ireland-Clonmel; Ireland-Cork; Ireland-Craigavon; Ireland-Drogheda; Ireland-Dublin; Ireland-Dundalk; Ireland-Galway; Ireland-Kerlogu; Ireland-Kerlogue; Ireland-Limerick; Ireland-Waterford; Norway-Asker; Sweden-Helsingborg; United Kingdom-Aberdeen; United Kingdom-Ashford; United Kingdom-Backburn; United Kingdom-Barnsley; United Kingdom-Barnsley; United Kingdom-Basildon; United Kingdom-Basingstoke; United Kingdom-Bath; United Kingdom-Bedford; United Kingdom-Birkenhead; United Kingdom-Birmingham; United Kingdom-Blackpool; United Kingdom-Bolton; United Kingdom-Bournemouth; United Kingdom-Bradford; United Kingdom-Bradford; United Kingdom-Brighton; United Kingdom-Bristol; United Kingdom-Camberley; United Kingdom-Cambridge; United Kingdom-Canterbury; United Kingdom-Cardiff; United Kingdom-Carlisle; United Kingdom-Chelmsford; United Kingdom-Cheltenham; United Kingdom-Chester; United Kingdom-Colchester; United Kingdom-Coventry; United Kingdom-Crawley; United Kingdom-Darlington; United Kingdom-Derby; United Kingdom-Doncaster; United Kingdom-Dundee; United Kingdom-Eastbourne; United Kingdom-Edinburgh; United Kingdom-Exeter; United Kingdom-Farnham; United Kingdom-Glasgow; United Kingdom-Gloucester; United Kingdom-Guildford; United Kingdom-Harlow; United Kingdom-Hartlepool; United Kingdom-Hastings; United Kingdom-Hemel Hempstead; United Kingdom-Huddersfield; United Kingdom-Hull; United Kingdom-Leeds; United Kingdom-Leicester; United Kingdom-Lincoln; United Kingdom-Liverpool; United Kingdom-Maidstone; United Kingdom-Maidstone; United Kingdom-Manchester; United Kingdom-Middlesbrough; United Kingdom-Milton Keynes; United Kingdom-Newcastle; United Kingdom-Newport; United Kingdom-Northampton; United Kingdom-Norwich; United Kingdom-Nottingham; United Kingdom-Nuneaton; United Kingdom-Oxford; United Kingdom-Peterborough; United Kingdom-Plymouth; United Kingdom-Poole; United Kingdom-Portsmouth; United Kingdom-Preston; United Kingdom-Reading; United Kingdom-Rochdale; United Kingdom-Rotherham; United Kingdom-Sale; United Kingdom-Salford; United Kingdom-Sheffield; United Kingdom-Slough; United Kingdom-Solihull; United Kingdom-Southampton; United Kingdom-Southend-on-Sea; United Kingdom-Stevenage; United Kingdom-Stoke; United Kingdom-Swansea; United Kingdom-Swindon; United Kingdom-Taunton; United Kingdom-Telford; United Kingdom-Warrington; United Kingdom-Watford; United Kingdom-Western-super-Mare; United Kingdom-Woking; United Kingdom-Wolverhampton; United Kingdom-Worchester; United Kingdom-Worthing; United Kingdom-Wrexham; United Kingdom-York

the role:


As a Senior Field Clinical Engineer (FCRE) at Boston Scientific, you will play a vital role in supporting the execution and management of clinical trials and providing commercial support in the field. Your work will directly impact patient outcomes, support the advancement of medical innovation, and help bring life-changing therapies to market. In this role, you’ll serve as the clinical expert at trial sites, educate healthcare professionals, and provide hands-on technical support during procedures in hospital and clinic settings.

Clinical trial responsibilities:

  • Manage clinical trial activity within your assigned territory to meet corporate and departmental objectives
  • Complete site Interest Visits and Site Initiation Visits
  • Educate clinical investigators on trial protocols, clinical processes, and investigational product features
  • Provide technical support for clinical trial procedures including implants and follow-up visits, with direct patient contact
  • Train on and maintain knowledge of clinical trial protocols, SOPs, and global regulatory compliance
  • Manage investigational product inventory throughout the clinical process

Commercial responsibilities:

  • Educate customers on the proper clinical usage and benefits of Boston Scientific’s commercially approved products
  • Deliver presentations and product demonstrations to current and potential customers
  • Develop strong relationships with hospital personnel and key decision-makers
  • Address customer needs and complaints by providing timely, feasible solutions

General responsibilities:

  • Support both commercial and clinical procedures, including patient implants and follow-ups
  • Ensure adherence to guidelines for managing commercial and investigational product inventor

Quality system requirements:

  • Demonstrate a strong commitment to patient safety and product quality by complying with the Quality Policy and all documented quality processes and procedures
  • Support a work environment that fosters quality compliance (for roles involving supervision)

Required qualifications:

  • Minimum of 5 years' experience in electrophysiology (EP), cardiac rhythm management (CRM), or a similar clinical/technical field
  • Demonstrated ability to manage complex field activities and clinical support functions
  • Strong working knowledge of clinical trial protocols and regulatory standards
  • Ability to work independently and collaboratively in a fast-paced environment
  • Willingness and ability to travel extensively and be on-call, including evenings and weekends

Preferred qualifications:

  • Bachelor’s degree in Biomedical Engineering, Life Sciences, or related field
  • Prior experience supporting implantable medical devices in a clinical setting
  • Familiarity with Good Clinical Practices (GCP) and FDA/ISO regulations
  • Excellent communication, presentation, and relationship-building skills
  • Experience working with investigational product inventory and device logistics
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Limitless High-tech career opportunities - Expoint
Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata. Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows. Monitor platform...
Description:

France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead


Your role in Data & AI

As a Senior Data Platform & MLOps Engineer, you will design, build, and operate the cloud data platforms that powers analytics and AI solutions across EMEA. You will partner closely with data engineers, AI engineers, data scientists, product managers, architects, and governance teams to create secure, reliable, and reusable platform services. This role combines hands-on engineering with cross-functional collaboration and plays a key part in implementing our new global data strategy.

You will work across a wide range of platform components, from data ingestion and orchestration to observability, security, and automation, ensuring that regional requirements such as GDPR and data residency are built into platform design without slowing innovation.

Crucially, you will build and maintain the shared infrastructure that enables AI engineering and data science teams to develop, deploy, and scale machine learning solutions efficiently and responsibly. Your work will accelerate the delivery of AI-driven insights and automation across EMEA, ensuring that advanced analytics and ML capabilities are grounded in a secure, compliant, and scalable data foundation.

What you will do

You will design, build, and operate cloud data platform components, including data lakes, warehouses, streaming systems, orchestration layers, and metadata tooling. Your work will focus on making these services secure, observable, automated, and scalable, enabling analytics, AI, and data science teams to innovate with confidence.

In parallel, you will design, implement, and maintain MLOps pipelines that support the full machine learning lifecycle, from experimentation and model training to deployment, monitoring, and continuous improvement. You will embed model governance, lineage tracking, and performance observability into the platform, ensuring that ML solutions are reliable, compliant, and production-ready. You’ll also collaborate closely with data scientists and AI engineers to streamline model delivery using modern tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.

In this role, you will:

  • Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata.
  • Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows.
  • Monitor platform and model health, pipeline performance, latency, and costs, driving continuous optimization.
  • Collaborate with global engineering and architecture teams to deliver infrastructure-as-code, secure patterns, and reusable services.
  • Translate business and product needs into reusable platform and MLOps capabilities, templates, and standards.
  • Provide guidance and coaching to teams on best practices, self-service tooling, and platform adoption.
  • Strengthen observability, data quality, and compliance through metrics, logging, lineage, and GDPR-aligned controls.
  • Contribute to global architecture and platform standards while representing EMEA-specific requirements and priorities.

We’re seeking someone with deep engineering craft, strong MLOps expertise, and the ability to balance speed with governance in a complex environment. You enjoy solving platform challenges, building scalable, reusable patterns, and enabling data and AI teams to develop, deploy, and scale models efficiently. You do not need a MedTech background, though experience in regulated industries or working with sensitive data is an advantage.

Must-haves (the practical elements)

  • Bachelor’s degree in computer science, engineering, or a related field, with 5–8+ years of experience in data, platform, or MLOps engineering.
  • Strong cloud experience, particularly with AWS and Snowflake (Azure is a plus), combined with hands-on skills in Python, SQL, and distributed processing frameworks (e.g., Spark/EMR).
  • Expertise with infrastructure-as-code (Terraform or similar), CI/CD pipelines (GitHub Actions, Azure DevOps), and containerized/orchestrated environments (Docker, Kubernetes).
  • Demonstrated ability to design, implement, and maintain MLOps pipelines covering model training, deployment, monitoring, and retraining, using tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.
  • Model lifecycle management: Familiarity with model registries, feature stores, and governance frameworks that include versioning, lineage tracking, explainability, and compliance.
  • Experience in implementing observability for ML and data systems, including metrics collection, model-drift detection, and performance dashboards.
  • Security and compliance: Solid understanding of cloud security best practices (IAM, encryption, secrets management, policy-as-code) and the ability to design solutions aligned with governance and regulatory requirements.
  • Strong communication and collaboration skills across technical and non-technical stakeholders, fluency in English, and eligibility to work in one of the listed hub locations.

We also expect familiarity with

To thrive in this role, you should feel comfortable with, or be eager to grow in, these areas:

  • Modern data lakehouse architectures, data mesh concepts, and event streaming platforms (Kafka, Kinesis).
  • End-to-end MLOps lifecycle management, including CI/CD for machine learning models, model performance monitoring, and automation best practices.
  • Enterprise data catalogs (Collibra, Alation, Purview), documentation practices, and developer experience design.
  • Batch, micro-batch, and streaming workloads, cost optimization strategies, and large-scale or regulated environments.
  • Understanding of governance and compliance frameworks (GDPR), data residency requirements, and secure access models.

Bonus points

  • Experience in MedTech, Pharma, Consulting, or other regulated industries.
  • Exposure to AI/ML workflows, MLOps pipelines, semantic layers, feature stores, or GenAI-assisted tooling.
  • Strong interest in coaching, knowledge sharing, and working in large, multinational teams.

Why this role matters

This position sits at the heart of our new enterprise data strategy. The systems you build will provide the foundation for everything from operational reporting to advanced analytics, AI, and connected digital products. You will join a global community of engineers and architects who collaborate closely, share practices across regions, and collectively shape a new platform that will serve Boston Scientific for many years to come.

Because this is a greenfield transformation, you will have significant scope to influence architecture, establish standards, and design solutions that balance speed, governance, and sustainability. Your work will help accelerate how data improves decision-making, supports clinicians, and ultimately enhances patient outcomes.

Interview process

If you are excited by the idea of building secure, scalable, and well-engineered data platforms that enable others to innovate, we would be happy to hear from you.

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