Jobs in Germany

  • München

    Salary Icon 90.000 - 100.000 €
  • We see the potential inside everything and everyone. Starting with you.

    Orbem uses AI to industrialize MRI, delivering non-invasive insight into everything from fruits to eggs to the human body. We are transforming what is becoming the world’s largest biological dataset into actionable intelligence to reduce waste, increase quality, and accelerate the shift toward a more sustainable and healthier future.

    Headquartered and founded in Munich, Germany, with an office now in Houston, Texas, our world-class team is scaling inside-out technology to transform how humanity sees and understands biological matter.

    Help us see what’s possible. Join us.

    Staff Data Scientist - Healthcare (f/m/d)

    Start Date: As soon as possible

    Yearly Salary: €90,000 - €100,000 (fixed range, annual gross)

    Stock Options: €40,000- €80,000

    Benefits: Up to €5,000 annually

    Work Model: Full-Time, Hybrid (Munich, Germany)

    Your Role

    As a Staff Data Scientist, you will play a key role in designing and implementing the next generation of AI-powered imaging applications in healthcare. You will work closely with MRI scientists, business, and product to translate Orbem’s insights from the industrial MRI product to the unique requirements of the healthcare space. Your scientific mindset and strong expertise in data and modeling help us build a healthier future.

    Your Day-to-Day

    On a typical day, you would: 

    • Lead the design and implementation of ML solutions for healthcare (in particular deep learning)

    • Explore various datasets and biomarkers to find data insights for the healthcare domain

    • Translate knowledge and methods from Orbem’s industrial food applications to the healthcare context.

    • Validate reliability, fairness, and interpretability of our ML solutions

    • Collaborate with MRI scientists, product and business experts to ensure feasibility, desirability and viability of new products

    • Grow the know-how in ML methods for the healthcare domain


    Fit to our values

    • We Own Every Challenge: We accept challenges as opportunities for growth and approach them with determination.

    • We Strive for Better: We learn, adapt, and push for higher standards.

    • We Imagine New Frontiers: We challenge the status quo with curiosity and creativity. We design a sustainable and healthy future together.

    Your experiences and skills

    Data Science in medical imaging

    • You have significant experience in ML model development for medical imaging.

    • You are well versed in methods for model interpretability and uncertainty estimation.

    ML engineering

    • You have deep knowledge of Pytorch and distributed training.

    • You have strong Python coding skills, you are an advocate and expert in best practices and design patterns.

    • You have experience with version control tools and tools for creating reproducible, containerized environments.

    • You are experienced in ML system design, in particular deep learning and computer vision.

    Leadership and business acumen

    • Proven technical leadership on cross-functional initiatives, successfully guiding data science development with dependencies to various disciplines.

    • Strategic influence in shaping the long-term technical roadmap for a product or application, navigating uncertainty and ensuring data science decisions align with business goals.

    • High technical judgment and a pragmatic approach to decision-making, with a demonstrated ability to balance deep technical work with product deadlines.

    What makes you stand out from other candidates

    • Publications in relevant conferences for AI/ML in medical imaging.

    • Experience bringing AI-enabled imaging methods into products.

    • Experience navigating clinical regulatory frameworks in the EU and US.

    • Experience with ML data privacy and security challenges and techniques (e.g. federated learning)

    What We Offer

    International Environment: Join a team with 40+ nationalities across 5 continents, all driven by a shared purpose: shedding light on the world’s toughest challenges.

    Attractive Compensation Package:

    • Stock Options: Share in Orbem’s success.

    • Visa & Relocation Support: Seamless support for your move to Germany.

    • Learning & Development: €1,750 annual budget for personal growth.

    • Fitness Membership: Access to Urban Sports Club or Wellpass.

    • Childcare Reimbursement: Support for Kita/Kindergarten fees.

    • Deutschland Ticket: Full coverage of public transportation.

    Work-Life Integration:

    • Flexible Hours & Home Office: Work when and where it suits you.

    • WFH Perks: Get €185 to upgrade your home office + a sleek external monitor on us!

    • 30 Days Paid Leave: Plenty of time to recharge.

    • Personal Leave: Flexibility for life’s important moments.

    • Work from Anywhere: Experience new cultures and environments for up to 60 days per year.

    Make a Difference:

    Join an ambitious, fast-growing team working on breakthrough technology. In our scale-up environment, you’ll have the freedom to lead your projects and make an impact. We provide a platform for you to explore, innovate, and define your vision for the future. At Orbem, we’re committed to helping you discover your strengths, and while we aim to teach you, we also want to learn from you. 

    Your Team:

    As an Staff Data Scientist, you become part of our diverse and international team. Learn more about the team members, their work, and challenges here: https://orbem.ai/company/  

    At Orbem, we're committed to building a smart, diverse team, and we recognize that self-doubt can prevent talented individuals from applying. If you feel you don't meet every requirement, we'd love to hear from you anyway!

    Estimated Salary after Taxes *

    Salary Monthly Yearly
    90.000,00 € 4.422,71 € 53.072,50 €
    100.000,00 € 4.742,47 € 56.909,68 €

    Income Tax for 90.000 € in Germany →

    * Your estimated salary may change based on external factors, use our salary calculator

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