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
Top Skills
What We Do
QuantCo leverages expertise in data science, engineering, and economics to help organizations turn data into decisions. Founded in Boston, QuantCo now also has offices in Berlin, Cologne, Karlsruhe, Munich, Zurich, London, and San Francisco.
Our product line includes algorithmic pricing, data-driven claims management, and high-dimensional forecasting solutions. 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 data insights with scalable engineering solutions.
Join Us!
QuantCo offers a fast-paced environment that values ownership and personal growth in both internships and full-time positions.