RaySearch is expanding in the field of machine learning and is looking for a Machine Learning Engineer with strong software engineering skills to join our head office in Stockholm. In this role, you will have the opportunity to innovate and develop software that improves the lives of cancer patients around the world, while building the infrastructure, services, and developer tooling that enable machine learning solutions in the ML department to move efficiently from experimentation to clinical products used in cancer treatment worldwide. 

About the job

You will be part of an agile team developing machine learning solutions for radiation oncology. Our work spans areas such as image segmentation, image synthesis, treatment planning, dose prediction, and other deep learning applications within medical imaging and radiation therapy. 

You will 

Your day-to-day work will involve training, evaluating and operationalizing deep learning models. This includes analyzing results using clinical metrics and ensuring that predictions meet acceptance criteria. You will work with real clinical datasets and iterate closely with medical physicists and oncologists to validate model performance against clinical standards. 

The role combines machine learning research, experimentation and software development:

• Develop state-of-the-art deep learning methods for medical imaging and radiation therapy. 
• Work on problems involving 2D and 3D medical images, anatomical structures, treatment data, and multimodal clinical information
• Design experiments, define appropriate evaluation methods, and analyze model behavior. 
• Build and evaluate new architectures, training strategies, and research ideas and determine which approaches are worth bringing into our products
• Work with large clinical datasets and develop reliable pipelines for training, validation, evaluation, and inference 
• Collaborate closely with medical physicists, oncologists, researchers, product owners, and software engineers

Your profile 

You are someone who genuinely loves both ML and software engineering. You read papers, get excited about new architectures and training techniques, and have expertise in implementing them. 

You are autonomous and self-driven. Given a problem, you take ownership: you research the landscape, form a plan, and execute without needing to be guided through every step. You know when to dig deeper on your own and when to pull in a colleague. You are comfortable making decisions, and you communicate clearly about what you are doing and why. 

You contribute to a positive team atmosphere and take responsibility for your work. Above all, you care about building software that makes a meaningful impact for healthcare professionals and their patients. 

Experience & skills 

Requierments 

• M.Sc. in Computer Science, Machine Learning, or equivalent 
• Minimum 4 years of professional experience in software development, machine learning, or a related field 
• Excellent understanding of machine learning techniques and algorithms 
• Strong programming skills in Python with emphasis on writing clean, maintainable, production-quality code 
• Solid software engineering practices: version control, code review, testing, CI/CD 
• Experience using deep learning frameworks such as PyTorch 
• Solid knowledge of data structures, algorithms, statistics, and applied mathematics 
• Comfort working in large, collaborative code bases and contributing to shared architecture decisions 
• Excellent spoken and written communication skills in English 

Meriting 

• Experience with medical image segmentation, registration, image synthesis, reconstruction, representation learning, or multimodal imaging.  
• Contributions to open source projects 
• Experience working in regulated or safety-critical software environments (e.g., medical devices, automotive)

Our Culture  

At RaySearch, we share a passion for innovation and the fight against cancer. Our team consists of dedicated experts who strive to deliver exceptional results through collaboration, attention to detail, and cutting-edge technology. We take pride in our role as a leader in cancer treatment, developing solutions that truly make a difference for patients worldwide.  

Our Offer  

We offer a dynamic and inclusive work environment in Hagastaden, Stockholm’s Life Science Hub. Our modern office space includes an in-house gym, yoga classes, and social activities such as ping pong, table football, and after-work events. We also provide a fantastic lunch buffet, daily fika, and a stunning rooftop terrace with a 360-degree view of Stockholm. This comes with a competitive compensation and benefits package.  

Application  

Please apply for the position through the application form below. Selection and interviews will be ongoing. We do not accept applications via e-mail.  

Can an AI agent create radiation therapy plans like an experienced dosimetrist? In this master thesis you will work with large language model (LLM) agents driving treatment plan optimization and measure how well they actually perform.

Project description

In this project, you will explore both quantitatively and qualitatively how well an agentic AI system can run and automate the optimization process: the agent reviews the results, updates the optimization problem or the automatic optimization workflows and repeats to improve the treatment plan. You will build an agentic harness that connects an LLM agent to RayStation. You will create its tools to let the agent read plans, adjust objectives and run optimizations.

Your main tasks

• Review research on LLM agents and automated treatment planning, and define the research questions and evaluation criteria.
• Work on an agent prototype that reads plans, adjusts optimization objectives and deep learning planning model settings, and runs optimizations in RayStation.
• Create a benchmark of treatment planning tasks to evaluate the agent. It includes patient cases, reference plans and scoring based on clinical goals, dose-volume metrics, number of iterations and time.
• Design and compare agent strategies, such as step-by-step parameter sweeps versus free reasoning, across different LLMs.
• Run the agent on a set of patient cases and compare its plans with reference plans. Use clinical goals, dose-volume metrics, number of iterations and time.
• Review the agent's decisions with medical physicists, and present the results in a thesis report.

Your Profile

We are looking for a curious master's student who wants to work where AI meets cancer care. You enjoy combining programming with careful experiments, and you look critically at results instead of taking them at face value. You are independent and well organized, and you can explain your findings clearly to both software engineers and medical physicists.

• Ongoing master's studies in engineering physics, medical physics, computer science, applied mathematics or a related field
• Coursework or project experience in optimization and/or machine learning
• Good programming skills in Python
• Hands-on experience with LLMs, for example prompting, tool calling or building agents through APIs
• Fluent written and spoken English

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link.

Are you excited about AI and software development? Want to explore how AI agents can transform software testing and help improve the quality of medical software? Then this thesis project could be for you.

Project Description 

RaySearch develops a software system called RayStation, used by over a thousand clinics worldwide for radiation treatment planning for cancer. In software development in general, and in medical device software in particular, testing is an important part of the development process to ensure quality of the product. Testing can be performed at several levels, for example unit testing, integration testing and user interface testing and can be either automated or manual. Good coverage of automated tests is desirable, both to reduce time-consuming manual work and to be able to find bugs earlier in the development process.

This project aims to develop and evaluate a framework that uses AI agents to automate manual UI tests. The project will assess the framework’s reliability, coverage, and potential to improve the efficiency and traceability of product testing. The framework could also be extended to other products.

You will have the opportunity to explore the most recent AI agents in this work using Microsoft Visual Studio Code and GitHub Copilot, connected to RayStation. You will develop and evaluate different skills for the AI agents as part of the project.

Your Profile

To be eligible for this position, you are a master's student within computer engineering, engineering physics, or a related field, and have excelled in your studies. You have an interest in software development, AI, testing and contributing to our mission. Experience with github copilot and working with skills and agents is an advantage.

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link.

Project description

Modern radiotherapy relies on the safe and reliable exchange of treatment plans, images, and patient information between systems from different vendors. This communication is typically based on the DICOM standard, but interoperability issues can still occur due to vendor-specific implementations and evolving standards. Detecting these issues is often a manual and time-consuming process. 

In this thesis, you will explore how DICOM conformance requirements can be transformed into machine-readable validation rules and used to automatically identify interoperability risks. 

The project combines software engineering, communication protocols, healthcare technology, and data validation, while addressing a real-world challenge in modern cancer care. 

Your main tasks

• Design and implement a prototype framework that analyzes DICOM data
• Validate it against standard and vendor-specific requirements, to provide actionable feedback to developers and users. 

Your profile

We are looking for a master's student with interest in healthcare technology, communication standards, and software quality. 

• Master of Science student in Computer Science, Software Engineering, Engineering Physics, Applied Mathematics, or a related field.
• Experience and interest in programming

It’s an advantage, but not required, if you also have experience of C#/.Net, Knowledge of DICOM, data validation, automated testing, or interoperability standards.

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link.

Project Description 

In radiotherapy, an X-ray taken before treatment may be compared with a reference image simulated from the patient’s CT scan to check patient positioning. Users can display the images on top of each other to assess and adjust their alignment, a process known as image registration. Poor contrast, noise, imaging artifacts, and limited resolution can make bones and other anatomical features difficult to distinguish. Differences in appearance between images can further complicate comparison. Users often adjust brightness and contrast manually through settings known as window/level, but some structures remain difficult to see. Image enhancement could improve anatomical visibility and support both visual registration and general image viewing. However, settings tuned for one device or image type may not work equally well for others. Enhancement also involves trade-offs: sharpening can amplify noise, while smoothing can obscure useful details. 

The thesis will survey the state of the art in conventional image enhancement, select promising methods, and implement and evaluate them in our existing C++ medical image viewer using GLSL shaders. Relevant areas may include: 

•  Automatic window/level and other intensity mappings. 

•  Histogram-based contrast enhancement and matching an image’s intensity distribution to that of a reference. 

•  Noise reduction, sharpening, and local contrast enhancement. 

Your profile

We are looking for a master’s student with experience in C++ programming and an interest in visualization and image processing. Knowledge of image processing or computer vision, and familiarity with GPU programming and shaders in OpenGL or Vulkan, are advantages. Prior knowledge of medical imaging is not necessary. 

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link.

Project description

This project combines mathematical optimization with software implementation within our in-house treatment planning system RayStation. The focus is photon arc therapy, the most widely used delivery technique in modern radiation therapy. In this technique, the radiation source rotates around the patient while the beam collimation, dose rate, and gantry speed are varied continuously. The aim of the project is to develop optimization methods for complex treatments of this form that take full advantage of recent advances in delivery system capabilities, with the potential to ultimately improve treatment outcomes.

Optimization of photon arc treatments constitutes a large-scale nonlinear optimization problem with decision variables that govern the dose delivery, which are coupled through the mechanical limitations of the delivery system. Conventional formulations discretize these variables into control points at fixed angular intervals. The project will explore denser and nonuniform control point spacings, together with simultaneous optimization of the dose rate and gantry speed. Key questions include how to allocate control points along an arc and how to represent acceleration limits, while balancing computational cost against solution quality.

The work will combine modeling, algorithm development, implementation, and evaluation on clinical cases, providing experience across the full path from mathematical formulation to implementation in an established commercial software product. AI tools will support the work, and guidance will be provided on their effective use.

Your profile

• Highly motivated student that has excelled in studies
• Knowledge and interest in programming
• Knowledge and interest in applied mathematics
• Excellent communication skills in Swedish and/or English

Meriting:

• Experience gained from summer/part time jobs or hobby projects
• Experience, for example through coursework, in mathematical optimization
• Programming skills in C++, C# or Python

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link.

Are you a problem-solver with a passion for mathematics and optimization? Join us in exploring new ways to improve adaptive radiotherapy and cancer treatment.

Project description

This project develops AI agents that take a description of how a radiotherapy clinic works and build the matching workflows in the RayCare oncology information system. RayCare is developed by RaySearch at our headquarters in Stockholm, where the thesis work will take place. In RayCare, each clinic's way of working is configured as workflows: tasks for different staff roles, grouped into modules and linked by triggers that decide when each task becomes ready and when it is due. Today these are built template by template through forms, which takes RaySearch staff and clinicians substantial time and raises the barrier to entry for new clinics. Reducing this effort will make it easier for RayCare to scale as it enters clinical use at a growing number of clinics around the world.

The project will develop and evaluate the most effective approach to a full round trip: from a clinic's description of its process to a configured workflow, and back to a representation that a human can review. The workflow the agents produce must then be correct, and the project will establish how to measure this: a workflow can look plausible yet contain a missing dependency or a task assigned to the wrong role, while two workflows can differ structurally and still behave identically. Historical data from clinics using RayCare makes this measurable: the original specifications can serve as input to the agents, and the workflows configured from them, available in structured form, as ground truth.

You will build the agents with the GitHub Copilot SDK, with full access to the latest frontier AI models, and integrate them with RayCare.

Requirements: 

• Highly motivated students that have excelled in their studies in an engineering program with a focus on algorithms and programming, such as computer science, machine learning, electrical engineering, or engineering physics
• Knowledge and interest in programming.
• Excellent communication skills in Swedish and/or English 

Meriting: 

• Experience gained from summer/part-time jobs or hobby projects within software development and/or machine learning
• Experience from working with agentic AI e.g. Claude, Codex, GitHub Copilot, etc.
• Programming language skills such as C#, TypeScript

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link. 

Join us in advancing online adaptive radiotherapy by developing optimization strategies that improve treatment accuracy and compensate for errors throughout the treatment course.

Project description

Online adaptive radiotherapy (OART) uses images acquired immediately before or during a treatment fraction to adapt the treatment plan to the patient’s anatomy of the day. In conventional radiotherapy, one plan is typically created from a planning image and delivered in fractions over the course of multiple weeks, with limited adaptation if substantial anatomical changes occur. OART can therefore improve target coverage and reduce dose to organs at risk. However, repeated daily re-optimization raises the question of how each adapted plan should contribute to the intended dose over the full course of treatment, and how errors arising from automated workflows should be mitigated along the way.

This thesis project will investigate optimization strategies that account for previous errors and the dose already delivered when reoptimizing each daily plan. The aim is to compare methods for steering the accumulated dose toward the treatment objectives especially considering compensation for over- or underdosage resulting from unexpected errors earlier in the treatment.

Your profile

To be eligible for this position, you are a master's student within applied/computational mathematics, engineering physics, or a related field, and have excelled in your studies. You have an interest in software development and contributing to our mission. Experience with mathematical optimization, dynamical systems, and/or control theory is an advantage. Fluency in English is required.

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link.

How well can AI agents perform tasks in radiotherapy treatment planning? In this master’s thesis, you will develop and evaluate agentic systems using different LLMs and radiotherapy software.

Project Description 

The thesis will investigate how LLM-based agentic systems can be used for tasks in the radiotherapy workflow. Radiotherapy treatment planning is a complex process with several steps, from patient intake and prescription to patient modelling, plan creation and plan review.

The work will explore how different LLMs, agent harnesses and tools affect the ability to complete these tasks. A small benchmark will be developed to evaluate and compare the approaches. Data, test cases and the radiotherapy software needed for the project will be provided.

Your main tasks

• Review research on medical agent benchmarks and LLM-based agentic treatment planning.
• Define research questions and evaluation criteria.
• Create a benchmark of treatment planning tasks.
• Develop agent harnesses and compare them with existing open-source and proprietary harnesses.
• Evaluate different LLMs, harnesses and tool setups using the benchmark.
• Write and present the thesis.

Your profile

We are looking for a curious master's student who wants to work where AI meets cancer care. You enjoy combining programming with careful experiments, and you look critically at results instead of taking them at face value. You are independent and well organized, and you can explain your findings clearly to both software engineers and medical physicists.

• Ongoing master's studies in engineering physics, medical physics, computer science, applied mathematics or a related field
• Coursework or project experience in optimization and/or machine learning
• Great programming skills in Python
• Hands-on experience with LLMs
• Fluent written and spoken English

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link. 

While foundation models have revolutionized natural language, computer vision—and medical imaging in particular—presents a fascinating set of open challenges. In this master thesis, you will train and benchmark vision foundation models to help advance radiotherapy in cancer care.

Project Description 

Foundation models are trained on vast amounts of unlabeled data to learn broad, transferable representations. In this project, you will explore how self-supervised feature learning can be tailored to the complexities of medical imaging. You will train custom model variants on internal data and benchmark them against existing public models. The core focus is evaluating how effectively these unsupervised features transfer to key downstream tasks, such as image segmentation and generation.

Your main tasks

• Review relevant research on vision foundation models and self-supervised learning in medical imaging.
• Set up, run, and manage multiple training iterations of custom model variants using internal and public datasets.
• Systematically benchmark the trained models against existing vision foundation models.
• Evaluate feature transferability to downstream tasks, such as image segmentation and generation.

Your profile

We are looking for a curious master's student who wants to work where AI meets cancer care. You enjoy combining programming with careful experiments, and you look critically at results instead of taking them at face value. You are independent and well organized, and you can explain your findings clearly to both software engineers and medical physicists.

• Ongoing master's studies in engineering physics, medical physics, computer science, applied mathematics or a related field
• Coursework or project experience in optimization and/or machine learning
• Great programming skills in Python
• Hands-on experience with LLMs
• Fluent written and spoken English

Application

Please apply to the position through the link below. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Application Link.

Planning your thesis for spring 2027? Curious, driven and ready to make an impact? Join RaySearch and contribute to the future of cancer care!

About MSc Thesis Projects at RaySearch Laboratories 

While writing your master’s thesis project at RaySearch Laboratories, you will contribute to the development of cutting-edge software that makes a real difference in cancer care worldwide. Starting January 2027, you will get a solid introduction to our company, products and ways of working. During your thesis project, you will work in the R&D department consisting of approximately 230 well-educated and dedicated engineers. As thanks for your contribution to us as a company and the field, you will get a monthly salary of 13,393 SEK, plus an additional 12% in holiday pay. Many of our employees began their careers as thesis students, and there is a chance of continuing into full-time employment after graduation.

Regardless of which project that interests you the most, this is where you will make your application. During your application you will be able to answer questions regarding what topics that interests you the most. The thesis topics we offer are listed below. Read them carefully before making your application. 

AI & Machine Learning

• Agentic AI for Configuring Radiotherapy Workflows
• Evaluating LLM-based Agentic Systems for RT Plan Optimization
• Evaluating Agentic AI-Driven Test Automation
• Evaluating LLM-Based Agentic Systems in Radiotherapy Workflows
• Vision Foundation Models for Medical Imaging

Computer Science

• Automated Interoperability Validation for Healthcare Software

Algorithms & Physics 

• Targeted Alpha Therapy
• Combinatorial Optimization for Radiation Therapy Patient Scheduling
• Optimization & Control Strategies in Online Adaptive Radiation Therapy
• Advanced Optimization for Complex Radiation Therapy Treatments
• Realtime Image Enhancement Algorithms for Medical Images

Our Culture

Culture at RaySeach is the driving force behind our organization, where everything we do is driven by a shared passion for innovation and the fight against cancer. Our dedication is reflected in our ability to deliver exceptional results, pay close attention to detail, and consistently go the extra mile. Our employees stand out as experts in their field, driven by a relentless focus on solving problems - no matter how complex. At RaySearch, we take pride in leading the way in cancer treatment, leveraging cutting-edge technology to develop innovative solutions that make a real difference in patient care.

Our Offer

At RaySearch, we offer a diverse and inclusive work environment, fostering openness, sincerity, and collaboration. Located in Hagastaden, Stockholm's Life Science Hub, our modern and creative workspace includes an in-house gym, yoga, and social activities like ping pong, table football, and regular after-work events. Our bistro serves a fantastic lunch buffet, and we offer morning- and afternoon-fika every day. Our rooftop terrace also provides a stunning 360-degree view of Stockholm, enhancing the work experience.

Application

Please apply to the thesis projects through the application form below. In the application form you will be able to answer questions regarding which topics you are interested in. You will also be able to answer questions that describes your past experience. Don’t hesitate to apply, even if you don’t meet all the requirements implicated by the questions we ask in the application form. We ask a lot of questions to get to know you better — not to rule you out. Selection and interviews will be ongoing. We do not accept applications by e-mail. 

Vill du vara med och leda utvecklingen av mjukvara som gör skillnad för cancerpatienter världen över? 

På RaySearch kombinerar vi avancerad teknik med ett tydligt syfte: att förbättra cancervården genom innovativ mjukvara som används på cancerkliniker världen över. Hos oss får du möjlighet att kombinera ett starkt teknikintresse med ett meningsfullt uppdrag, där ditt ledarskap bidrar till att göra skillnad för människor varje dag.

Nu genomför vi en förändring inom vår utvecklingsorganisation och söker två erfarna ledare till våra nya sektioner Application Development 1 och Application Development 2. Rollerna är centrala i arbetet med att stärka och vidareutveckla vår applikationsutveckling. Tillsammans ansvarar ni för att bygga en stark, skalbar och högpresterande utvecklingsorganisation med fokus på förbättringsarbete, kompetensutveckling, samarbete och leverans. Som en del av vår nya linjeorganisation med fem sektioner inom utvecklingsavdelningen kommer ni att arbeta nära de övriga sektionerna som ansvarar för produktutvecklingens inriktning och genomförande, produkternas säkerhet och validering samt fysik och algoritmutveckling.

Om rollen

Som Head of Application Development ansvarar du för att utveckla organisationen bakom RaySearchs produkter vilka inkluderar RayStation, ett avancerat dosplaneringssystem för strålbehandling, och RayCare, ett innovativt onkologiskt informationssystem som stödjer hela cancerbehandlingsprocessen. Vi arbetar med en modern teknikstack som bland annat omfattar C#, .NET, SQL Server, WPF och React.

Du rapporterar till Director of Development och leder ett antal gruppchefer. Hur ansvar och direktrapporter fördelas mellan de två rollerna avgörs utifrån verksamhetens behov och de personer som tillträder tjänsterna. Ni arbetar nära varandra för att utveckla både era sektioner och avdelningen som helhet.

I rollen som Head of Application Development leder du arbetet med att sätta riktningen för applikationsutvecklingen och ser till att organisationen har förmågan att omsätta den i väl fungerande produkter. Det innebär bland annat att:

•  Utforma och kommunicera strategi för mjukvaruarkitektur, designprinciper och teknisk inriktning.

•  Skapa arbetssätt och styrning som bidrar till hög kvalitet och lösningar som är enkla att vidareutveckla och kan växa med behoven.

•  Driva förbättringsarbete kring utvecklingsprocesser, verktyg, utvecklarnas produktivitet och användningen av AI. 

•  Bygga långsiktig teknisk kompetens utifrån verksamhetens och produkternas behov.

•  Säkerställa rätt bemanning, kompetens och organisatoriska förutsättningar för framgångsrik produktutveckling.

•  Stärka samarbetet mellan team och funktioner så att gemensamma prioriteringar får genomslag.

•  Leda och utveckla chefer och tekniska ledare.

Din profil

Du är en erfaren ledare med bakgrund från avancerad mjukvaruutveckling. Genom din tekniska kompetens och förståelse för mjukvaruarkitektur, utvecklingsprocesser och tekniska vägval kan du bidra till både strategiska beslut och operativ utveckling. Du kan förena långsiktig teknisk strategi med de praktiska förutsättningar som krävs för att team ska kunna leverera med hög kvalitet.

Vi söker dig som har en masterexamen (M.Sc.) eller likvärdig utbildning och som kommunicerar obehindrat på både svenska och engelska i tal och skrift. Du har gedigen erfarenhet av att driva processförbättringar och öka operativ effektivitet samt ett starkt fokus på resultat, kvalitet och genomförande. Meriterande är om du har erfarenhet av att jobba med medicinskteknisk mjukvara eller inom en annan reglerad verksamhet.

Som ledare har du mycket god kommunikativ förmåga och kan på ett trovärdigt sätt bygga engagemang, skapa samsyn och förmedla både strategiska och tekniska budskap till olika målgrupper. Du driver förändring och får människor med olika kompetenser att lyckas tillsammans. Du trivs i en prestigelös miljö där framgång skapas genom samarbete, kunskapsdelning och gemensamt ansvarstagande.

Ansökan

Du är välkommen att söka tjänsten genom formuläret nedan. Urval och intervjuer sker löpande. Vi tar inte emot ansökningar via mail men har du frågor kring tjänsten är du välkommen att höra av dig till rekryterande chef Henrik Friberger, [email protected]

Do you want to contribute to improving the care of cancer patients by helping ensure the quality and compliance of innovative software medical devices?

Join RaySearch and become part of our Quality & Regulatory Affairs team. In this role, you will work closely with colleagues across the organization to support and continuously improve our Quality Management System, enabling the development and delivery of safe and effective products to patients around the world.

About the role

As a Quality Specialist, you will be part of a dedicated Quality & Regulatory Affairs team supporting a growing and innovative medical device organization.

You will be involved in a variety of quality activities across the product lifecycle and have the opportunity to work closely with colleagues throughout the organization.

The role focuses on maintaining and improving our Quality Management System while supporting the organization in meeting regulatory and quality requirements in a practical and efficient way.

Your main responsibilities

• Support the maintenance and continuous improvement of the Quality Management System (QMS), related quality processes, and electronic QMS platforms.
• Manage and support CAPA, non-conformity, and change control activities.
• Plan, conduct, and follow up on internal audits.
• Support external audits, inspections, and supplier audits as needed.
• Support the management review process and quality performance monitoring.
• Review quality records and documentation to ensure compliance with company procedures and regulatory requirements.
• Support process improvements and help drive a culture of continuous improvement throughout the organization.
• Provide guidance and support to colleagues on quality processes and QMS requirements.

Your profile

We are looking for someone who enjoys working in a collaborative environment and combines strong quality knowledge with a pragmatic and positive mindset. You are proactive, structured, and detail-oriented, while also understanding how to apply quality requirements in a practical way that supports business objectives.

You are comfortable challenging the status quo, asking questions, taking ownership of issues through to completion, and making informed decisions when balancing quality, compliance, and business needs. You enjoy collaborating across functions, are eager to learn, and are motivated by continuous improvement.

Skills and experience

• 3+ years of experience working with Quality Management Systems in the medical device industry.
• Bachelor’s or Master’s degree in Engineering, Life Sciences, Medical Technology, Quality Management, or a related field.
• Good understanding of quality processes such as:
  • CAPA
  • Non-conformities
  • Change control
  • Internal audits
  • Management reviews
• Knowledge of ISO 13485 and medical device regulatory requirements.
• Experience from software medical devices is highly desirable.
• Strong communication and collaboration skills.
• Ability to work independently and drive activities forward.
• Able to balance compliance requirements with business needs using a risk-based mindset. 
• Very good command of English, both spoken and written.

Our Culture

At RaySearch, we share a passion for innovation and the fight against cancer. Our team consists of dedicated experts who strive to deliver exceptional results through collaboration, attention to detail, and cutting-edge technology. We take pride in our role as a leader in cancer treatment, developing solutions that truly make a difference for patients worldwide.

Our Offer

We offer a dynamic and inclusive work environment in Hagastaden, Stockholm’s Life Science Hub. Our modern office space includes an in-house gym, yoga classes, and social activities such as after-work events. We also provide a fantastic lunch buffet, daily fika, and a stunning rooftop terrace with a 360-degree view of Stockholm. This comes with a competitive compensation and benefits package.

Application

Please apply for the position through the application form below. We do not accept applications via e-mail.

Do you want to build software that truly saves lives? At RaySearch, you’ll have the opportunity to influence cancer care worldwide through code, architecture, and leadership. We are looking for an experienced developer who wants to take the next step and combine advanced development with a people-focused leadership role as a Group Manager.

Our development organization consists of approximately 160 highly engaged colleagues who build software used daily in cancer clinics around the globe. As we continue to grow, we are looking for additional group managers who want to help shape our technology, our teams, and our future.

About the role

This role offers the best of both worlds, combining hands-on technical work with people leadership. You will have personnel responsibility for a team of 8–12 developers while remaining an active contributor to the development of RayStation, our Treatment Planning System.

As a Group Manager, you focus on enabling your team to succeed. You support and develop your employees through regular one-on-one conversations, competence development, and recruitment. You will not be alone in your leadership role, but part of a collaborative management context with support from both peers and the wider organization.

In your role as a developer, you work close to the domain on technically demanding solutions and contribute to building robust, scalable systems. Depending on your background, you will work across backend, frontend, or full-stack development, contributing to architecture and system design. Our solutions are built using modern architectural principles such as Domain-Driven Design, event-driven systems, and asynchronous communication, in an environment where security, data integrity, and reliable system communication are critical. Your technical expertise will have a direct and meaningful impact on patient care.

Your profile

You have a strong technical foundation in .NET development and a clear interest in taking responsibility for both people and technical delivery. You are motivated by building high-performing teams, creating structure, and contributing to a safe and sustainable working environment. With a humble and communicative leadership style, you build trust and take ownership of people-related topics such as performance conversations, competence development, and recruitment, with support from the organization. You are self-driven, proactive, and results-oriented, with the ability to combine deep technical understanding with a present and engaged leadership approach.

To succeed in this role, you bring:

• A Master’s degree in Engineering or an equivalent academic background
• At least 7 years of experience developing complex products using .NET
• A genuine interest in people leadership and personnel responsibility
• Experience from leadership roles or informal leadership in development teams
• A strong drive to contribute to and further develop the engineering organization
• Fluency in English, written and spoken.

Previous experience in a role with formal people management responsibility together with fluency in Swedish is not required but considered as highly meritorious.

Our Culture

Culture at RaySeach is the driving force behind our organization, where everything we do is driven by a shared passion for innovation and the fight against cancer. Our dedication is reflected in our ability to deliver exceptional results, pay close attention to detail, and consistently go the extra mile. Our employees stand out as experts in their field, driven by a relentless focus on solving problems - no matter how complex. At RaySearch, we take pride in leading the way in cancer treatment, leveraging cutting-edge technology to develop innovative solutions that make a real difference in patient care.

Our Offer

At RaySearch, we offer a diverse and inclusive work environment, fostering openness, sincerity, and collaboration. Located in Hagastaden, Stockholm's Life Science Hub, our modern and creative workspace includes an in-house gym, yoga, and social activities like ping pong, table football, and regular after-work events. Our bistro serves a fantastic lunch buffet, and we offer morning- and afternoon-fika every day. Our rooftop terrace also provides a stunning 360-degree view of Stockholm, enhancing the work experience. All of this comes attached with a competitive compensation and benefits package.

Application

Please apply to the position through the application form below. We do not accept applications by e-mail. Selection and interviews will be ongoing.