16 часов назад
Lead Research Scientist (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Research Scientist (Machine Learning): Developing and evaluating future technology concepts for precision radiation medicine with an accent on physics, optimization, mathematical modelling, machine learning, and production-grade software. Focus on leading research activities, designing prototypes, contributing to scalable ML pipelines, and performing scientific analyses for technologies that improve patient care.
Location: Stockholm, Sweden
Company
develops precision radiation medicine and advanced radiotherapy solutions used by healthcare providers worldwide.
What you will do
- Lead research and innovation activities aligned with strategic objectives.
- Contribute to production-grade machine learning pipelines and scalable, maintainable software solutions.
- Develop and evaluate technology concepts across physics, optimization, mathematical modelling, machine learning, and software development.
- Design prototypes and conduct scientific analyses, evaluations, and technical investigations.
- Provide technical expertise across R&D, regulatory, quality, and product development activities.
- Promote software engineering best practices and mentor colleagues.
Requirements
- PhD in machine learning, applied mathematics, physics, or a related field, or an MSc with significant relevant industry and research experience.
- At least 2 years of relevant post-PhD research or technology development experience.
- Experience developing machine learning solutions and production-grade ML pipelines.
- Strong software development skills, preferably in Python, with sound engineering practices.
- Expertise in physics, optimization, mathematical modelling, or machine learning.
- Good communication skills in English and availability to work in Stockholm, Sweden.
Nice to have
- Experience with machine learning pipelines.
- Knowledge of Swedish.
Culture & Benefits
- Collaborative office environment with supportive colleagues.
- 30 paid vacation days per year.
- Four additional days off.
- Defined contribution pension scheme and private medical insurance.
- Lunch benefit and contribution to wellness activities.
Hiring process
- Submit a CV and cover letter in English.
- Applications are reviewed on an ongoing basis.
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