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QuantCo

Research Scientist

Job Posted 8 Days Ago Posted 8 Days Ago
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Remote
Hybrid
29 Locations
Mid level
Remote
Hybrid
29 Locations
Mid level
As a Research Scientist, you will develop algorithms for MRI protocols and diffusion simulations, focusing on cancer detection and treatment innovation.
The summary above was generated by AI

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 “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. To build the product, you, as a research scientist at Virdx, will work on our diffusion simulation engine, our MRI protocols, and our ground truth pipeline.

Essential:

  • Advanced degree (PhD, PostDoc, or MSc with 3+ years of experience) in physics, applied mathematics, statistics, electrical engineering or a related field 
  • Deep theoretical understanding of and practical experience with statistical inference in complex, high-dimensional systems, experience in Bayesian inference
  • Practical experience with machine learning for probabilistic modeling (eg., density estimation, generative modeling, etc.)
  • Strong coding skills in Python 
  • Complete proficiency in English

Desirable:

  • High-quality publications in relevant fields and/or contribution to open source repositories
  • Statistics for PDEs and inverse problems
  • Experience with Monte-Carlo methods or other sampling methods
  • Experience with large, real-world data sets
  • Willingness to travel 
  • Previous mentorship experience / supervision of other students or small teams
  • Familiarity with a modern software development stack (git, containerization, etc.)

What we offer:

  • Join an exciting, early-stage, and fast-paced team working on the frontiers of medical research and machine learning
  • Work with an interdisciplinary team of motivated and driven individuals, with a vision to bring meaningful change to an industry
  • Generous compensation package that includes a base salary, bonus, stock options, and relocation support along with additional location-based benefits

Location

The team is based in Europe and the US. We support hybrid working setups from all office locations if the individual is open to occasional travel.


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.

Top Skills

Bayesian Inference
Diffusion Imaging
Machine Learning
Mri Protocols
Python

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