Careers

Location: Helsinki, Finland (Hybrid / Remote flexibility)
Reports to: CEO
Department: Commercial & Operations
Contract Type: Full-time, Fixed-term

About MVision AI

MVision AI is a Finnish health-tech company transforming cancer care through Artificial Intelligence. Founded in 2017, MVision develops regulatory-approved, cloud-based AI solutions for radiotherapy treatment planning — empowering clinicians to deliver faster, more accurate, and guideline-compliant care.

Our solutions are trusted in 140+ hospitals across 24 countries, processing over 200,000 scans annually. As we continue expanding globally and strengthening our product portfolio — including Contour+, Dose+, Image+, Adapt+, and Workspace+ — we are seeking a Program Manager to help drive key initiatives, development, and deployments during this next growth phase.

Role Overview

The Program Manager (Fixed-Term) will coordinate and oversee selected strategic programs across MVision’s product and partnership portfolio.

This 12-month assignment offers a unique opportunity to contribute to global implementation projects, operational excellence, and cross-functional coordination within a fast-growing AI-driven company.

You’ll collaborate closely with teams across Product, Clinical, Engineering, Customer Success, and Business Operations to ensure seamless execution and measurable outcomes.

Key Responsibilities

Program Coordination

• Lead planning and execution of high-impact programs, including hospital implementations and OEM partnership projects.
• Define project objectives, milestones, and success metrics.
• Manage cross-functional delivery between clinical, technical, and commercial teams.

Operational Delivery

• Maintain project timelines, task lists, and reporting dashboards.
• Track progress, manage risks, and escalate bottlenecks proactively.
• Ensure compliance with clinical, regulatory, and data-governance requirements.

Stakeholder Management

• Act as a primary contact point for assigned customer or partner programs.
• Prepare status updates, review meetings, and final reports for leadership.
• Ensure transparent communication across internal and external stakeholders.

Continuous Improvement

• Capture learnings and help document scalable processes and playbooks.
• Support funding and grant reporting, including Business Finland projects.
• Contribute to knowledge transfer for continuity after the contract period.

Qualifications & Experience

Essential

• 10+ years of experience in program or project management in a technology, healthcare, or med-tech company.
• Strong organizational and coordination skills with ability to manage multiple parallel projects.
• Excellent written and verbal communication skills in English.
• Experience working in dynamic, cross-functional, and global environments.

Preferred

• Background in radiotherapy, imaging, or clinical IT.
• Familiarity with regulated software environments (MDR, FDA, ISO 13485).
• PMP, PRINCE2, or Agile certification are considered an advantage.

Contract & Compensation

• Fixed-term: 12 months (with potential for extension or permanent role depending on business needs).
• Start date: As soon as possible.
• Compensation: Competitive salary based on experience.
• Work setup: Hybrid or fully remote within Finland; occasional travel may be required.
• How to apply:  Send your CV to career@mvision.ai

Why Join MVision AI

• Contribute to advancing AI technology that improves cancer patient outcomes.
• Work with a talented, mission-driven global team.
• Gain international exposure and hands-on experience in a scaling med-tech company.
• Flexible and collaborative working culture.

We are looking for multiple Computer Vision thesis workers and interns to join our stellar team on the quest to fight – and win – cancer with AI.

WHAT’S THE CHALLENGE YOU WOULD HELP US TO SOLVE AND HOW?

MVision was born out of a deep desire to harness AI in winning the war on cancer. We exist to optimize the radiotherapy treatment that approximately 60% of all cancer patients undergo. As we continue to grow, our engineering team is in search of computer vision researchers. Would that be you?

The problems you would be working on:

• Image registration (multi-modality)
• Image segmentation
  ○ Improve performance (reduce computation time, failure rate, etc.)
  ○ Make more efficient use of training samples, i.e., reducing annotation burden
• Speeding up (reduce time and/or number of clicks required for) annotation of 3D medical images
  ○ Develop interactive methods, which can intelligently adjust the boundary depending on user clicks/scribbles/etc.
  ○ Use CRF/Graph-cuts/Random walker/etc to snap contours to structure boundaries
• Image translation: generating synthetic scans to augment training data
• Radiotherapy plan generation
• Self-supervised learning

Your tasks would include:

• Preparing data pipelines
• Managing machine learning experiments
• Reproducing methods from the latest research papers and adapting them to our data/problems
• Analyzing the performance of machine learning models, identifying failures, and improving performance

Skills we are looking for:

• Strong background in any of the following fields:
  ○ Medical image analysis
  ○ Computer vision
  ○ Machine/deep learning
  ○ Computational microscopy
  ○ Data science and statistics
  ○ Radiomics, etc.
• PyTorch and/or TensorFlow
• Motivation to push the current state-of-the-art, propose novel ideas, and implement them quickly

Please provide a brief report of one or a few ML/CV projects that you are most proud of, including what tasks were your responsibility and how you handled them. Sample code would be appreciated.

The following are also seen as an advantage:

• Past experience in the following research areas:
  • Semantic and/or instance segmentation
    ○ Image registration (multi-modality)
    ○ Image translation (GANs) from unpaired images
    ○ Unsupervised learning
• Working (including visualizing) with 3D data (preferably medical, e.g., CT/MR scans)
• Cloud: Azure, AWS, etc
• Familiarity with the DICOM standard
• Familiarity with radiotherapy and/or radiology

Other info:

• Apply as soon as possible by sending your CV to saad.akram@mvision.ai – the positions will be filled as soon as the right people are found
• Position: Full-time
• Start: As soon as possible
• Location: HQ and team in Helsinki, but you choose where you work

About MVision AI:

MVision AI is a pioneering, cloud-based software service provider for radiotherapy treatment planning. Our AI-powered automatic segmentation tool helps standardize contouring and automate segmentation to streamline the radiotherapy treatment planning workflow. Our deep learning model produces consistent contouring in minutes while maintaining the highest standards of quality for every patient, every time.

We are seeking a highly skilled and motivated Senior Software Engineer to join our team. In this role, you will be instrumental in designing and developing our medical image processing and radiotherapy planning platform. You will also contribute to expanding and maintaining our company codebase for smoother product development and integration. We are looking for a candidate with a strong emphasis on delivering clean code paired with sound architecture, thoughtful abstractions, and thorough automated tests.

What you’ll do

• Design and deliver end-to-end features across React + TypeScript (SPA) and ASP.NET Core/C# (APIs, services)
• Write clean, high-quality, high-performance, maintainable code
• Shape our architecture using SOLID, DDD and design patterns
• Collaborate with product, physics/clinical experts, and QA to meet medical-device quality standards
• Mentor teammates and raise the engineering bar through reviews and design sessions

You’ll be great at this if you have

• Master’s or Bachelor’s degree in Computer Science (or related field)
• 5+ years of relevant work experience in building production web apps with React/TypeScript and .NET/C#
• A strong design mindset: SOLID, DDD, clear boundaries, maintainable abstractions
• Habitual testing: unit, integration, contract/E2E; comfort with TDD where valuable
• Experience designing clean APIs, data models, and resilient distributed services
• Practical Agile/Lean habits: small batches, trunk-based or PR-driven flow, measurable outcomes
• Security and privacy basics (OAuth2/OIDC, OWASP Top 10, least privilege)
• Clear communication and an empathetic, collaborative approach

Nice to have

• Medical imaging or DICOM know-how; PACS/HL7/FHIR integrations
• Image processing experience (e.g., segmentation, registration, WebGL/WebGPU, GPU pipelines)
• Regulated software exposure (ISO 13485, IEC 62304, risk management)
• Observability tooling, performance profiling, and accessibility standards

Why join us

• Make a real impact by saving lives and shaping the future of AI in healthcare.
• Join an exciting, international community of experts dedicated to solving meaningful healthcare problems.
• Influence architecture and engineering practices end-to-end
• A thoughtful, low-ego team that values craftsmanship and learning
• Competitive compensation and flexibility (🧑‍💻 hybrid/remote options)

Hiring process (fast & respectful)

1. 30-min intro call
2. Technical deep dive & system design (discussion + small, practical exercise)
3. Team interview (product/clinical/QA)
4. Offer & references

How to Apply

Send your CV and application to career@mvision.ai
For more information, contact joona.hartman@mvision.ai

We look forward to hearing from you!

Role Description

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. In this role, you will be instrumental in implementing, developing, and benchmarking various conventional and AI-based algorithms for medical image processing. A significant part of your work will involve developing products based on these algorithms to solve complex clinical problems. You will also contribute to expanding and maintaining our company codebase for smoother product development and integration. We are looking for a candidate with a strong emphasis on machine learning, image processing and 3D mathematics.

Qualifications

• Bachelor’s or Master’s Degree in Data Science, Computer Science or related field
• Strong Analytical Skills, focused on data analysis and problem-solving
• Excellent written and verbal communication skills
• Ability to work independently and collaboratively in a hybrid work environment
• Deep Learning/Applied Statistics/Model Selection/hyperparameter Search
• Reinforcement Learning
• Bayes Optimization
• PyTorch/TensorFlow, MMCV
• Semantic Segmentation
• Image Registration and reformatting
• Image Classification
• Object Detection
• Solid knowledge of the DICOM standard, including RT extension is a plus
• ITK
• Understanding of Algorithms and Data Structures
• Software Development Patterns
• Source Control
• Agile software development
• Python, C++, JavaScript, Typescript, WebGL
• Git, Docker, Linux
• Experience in the healthcare or medical imaging field is an advantage

How to Apply

Send your CV and application to career@mvision.ai.
For more information, contact joona.hartman@mvision.ai.