Auf einen Blick
- Aufgaben: Join us to innovate in medical imaging and tackle exciting projects in deep learning.
- Arbeitgeber: Virdx, part of QuantCo, is revolutionizing cancer detection with cutting-edge AI technology.
- Mitarbeitervorteile: Collaborate with top experts and enjoy a diverse, supportive team culture.
- Warum dieser Job: Make a real impact on healthcare by replacing invasive procedures with advanced imaging solutions.
- Gewünschte Qualifikationen: Advanced degree in computer science or related field; experience in medical imaging and deep learning required.
- Andere Informationen: Work with pioneers from leading tech companies and contribute to groundbreaking medical advancements.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Background: Virdx – the virtual diagnostics unit of QuantCo – is making non-invasive, dignified, and actionable tissue characterization for cancer detection and treatment a reality. Starting with prostate cancer – the most frequent and second most deadly cancer in men in the USA – Virdx is changing the paradigm for medical artificial intelligence. Virdx intends to replace the biopsy procedure with an imaging-based alternative that is free of side effects: An in vivo microscope for virtual biopsy procedures. In doing so, Virdx is solving a broad range of high-profile challenges in the fields of magnetic resonance physics, machine learning, and software engineering.
Help us change medicine: Virdx aims to deliver fundamental changes to the way cancer is assessed. In its R&D effort, Virdx builds upon the principle of “novel data for novel algorithms.” This means that Virdx is optimizing MRI protocols, with a particular emphasis on diffusion imaging, to power algorithms that can fully replace physical biopsies.
Your role: As a deep learning medical imaging specialist in Virdx, you will work with the team on a range of varied and ongoing medical imaging projects. You will apply your expertise to push the boundaries on performance in tasks such as registration, denoising, segmentation, and 3D scene reconstruction.
Core Requirements:
- Advanced degree (PhD, PostDoc, or MSc) in computer science, computer vision, medical imaging, or related field
- Experience developing deep learning methods for medical imaging data
- Experience working with MRI, CT, Ultrasound, or other relevant medical imaging data types
- Strong programming skills in Python and experience with deep learning frameworks (i.e. PyTorch)
What We Offer: You will be part of a smart, supportive, and diverse team that embraces different viewpoints and ideas, revels in finding novel solutions to challenging problems, values our clients and user base, and strives to deliver impactful and cutting-edge solutions. You will learn from and collaborate with highly skilled colleagues, former academic researchers, competitive programmers, and pioneers of groundbreaking products from companies like Google, Meta, Tesla, and Amazon.
About QuantCo: At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich. Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.
We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.
QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Deep Learning Engineer for Medical Imaging Arbeitgeber: QuantCo, Inc.
Kontaktperson:
QuantCo, Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Deep Learning Engineer for Medical Imaging
✨Tip Number 1
Familiarize yourself with the latest advancements in medical imaging, particularly in MRI and diffusion imaging. Understanding the current trends and challenges in this field will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with deep learning frameworks like PyTorch by working on relevant projects or contributing to open-source initiatives. This hands-on experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the medical imaging and AI fields. Attend conferences, webinars, or local meetups to connect with others who share your interests and may provide insights or referrals for opportunities at Virdx.
✨Tip Number 4
Prepare to discuss specific projects where you've applied deep learning techniques to medical imaging data. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Deep Learning Engineer for Medical Imaging
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Deep Learning Engineer position at Virdx. Familiarize yourself with the specific technologies and methodologies mentioned in the job description, such as MRI protocols and deep learning frameworks like PyTorch.
Tailor Your CV: Customize your CV to highlight relevant experience in medical imaging and deep learning. Emphasize any projects or research that align with the core requirements, particularly those involving MRI, CT, or ultrasound data.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also expresses your passion for changing medicine through innovative solutions. Mention how your background aligns with Virdx's mission and how you can contribute to their ongoing projects.
Showcase Your Projects: If applicable, include links to your GitHub or portfolio where you have showcased relevant projects. Highlight any work that demonstrates your expertise in deep learning methods for medical imaging, especially if it involves segmentation, denoising, or 3D reconstruction.
Wie du dich auf ein Vorstellungsgespräch bei QuantCo, Inc. vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with deep learning methods specifically for medical imaging. Highlight any projects where you've worked with MRI, CT, or Ultrasound data, and be ready to explain the algorithms you used and the results you achieved.
✨Demonstrate Problem-Solving Skills
Virdx is focused on innovative solutions to complex challenges. Prepare examples of how you've approached difficult problems in your past work, particularly in areas like registration, denoising, segmentation, or 3D scene reconstruction.
✨Familiarize Yourself with Virdx's Mission
Understand Virdx's goal of changing cancer diagnostics through non-invasive methods. Be ready to discuss how your skills and experiences align with their mission and how you can contribute to their R&D efforts.
✨Prepare Questions About Team Dynamics
Since Virdx values a diverse and collaborative team environment, think of questions that show your interest in teamwork and collaboration. Ask about the team's approach to problem-solving and how they integrate different viewpoints into their projects.