Job description
We are seeking a Senior Mathematics Research Scientist to join our interdisciplinary team at Nexis Quantitative Labs in Cambridge, MA. This role blends deep mathematical theory with practical data-driven applications to solve complex challenges in finance, technology, and science.
You will contribute to the design and implementation of advanced mathematical models, collaborate with data scientists and software engineers, and translate theoretical insights into scalable product features that deliver measurable impact.
Ideal candidates bring a PhD in Mathematics or a related field, a proven track record of rigorous research, and a passion for turning abstract concepts into real-world solutions.
Responsibility
- Lead the development of mathematical models and algorithms to address real-world problems across finance, technology, or healthcare sectors.
- Design, implement, and optimize numerical methods, simulations, and statistical techniques with attention to performance and scalability.
- Collaborate with data scientists, software engineers, and product teams to translate theory into deployable solutions.
- Perform rigorous theoretical analysis, proofs, and validation, and contribute to publications and patent filings as appropriate.
- Mentor junior researchers and contribute to grant writing and proposal development.
- Present findings to technical and non-technical stakeholders, creating clear documentation and reports.
- Stay abreast of the latest mathematical advances and industry trends to drive innovation.
Qualification
- PhD in Mathematics, Applied Mathematics, Statistics, or a closely related field; or an equivalent combination of education and research experience.
- Strong track record in mathematical modeling, numerical analysis, optimization, or statistical inference; evidence via publications or project outcomes.
- Proficiency in Python and at least one scientific computing environment (MATLAB, Julia, R); familiarity with HPC and parallel computing is a plus.
- Experience with data-driven problem solving, machine learning, or quantitative analysis in industry or academia.
- Excellent communication skills, collaboration, and ability to convey complex concepts to diverse audiences.
- Ability to work onsite in Cambridge, MA or hybrid work arrangement; eligibility to work in the United States.
- Strong mathematical curiosity, problem-solving skills, and a proactive, results-oriented mindset.