Senior Bayesian Causal Modeling Scientist

Ayass BioScience, LLC; Frisco (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

A biotechnology company in Frisco, Texas, is seeking a Senior Scientist to develop mathematical models for a hybrid causal inference platform. The role requires expertise in mathematical modeling, causal inference, and Bayesian methods to design a foundational framework. The ideal candidate will translate biological knowledge into mathematical representations and work collaboratively with machine learning and bioinformatics teams. A PhD in a related field and hands-on experience with causal modeling techniques are essential.

Qualifications

• PhD (or equivalent depth) in a relevant field.
• Hands-on experience with DAGs, SCMs, SEMs.
• Experience implementing mathematical models that scale to high-dimensional data.

Responsibilities

• Translate biological knowledge graphs into formal mathematical representations.
• Design and adapt constrained causal discovery algorithms.
• Develop and fit Structural Equation Models (SEMs).
• Define the mathematical framework for integrating statistical evidence.
• Work closely with ML engineers and bioinformaticians as the mathematical authority.

Skills

Mathematical modeling

Causal inference

Bayesian methods

Probabilistic graphical models

Optimization and likelihood-based modeling

Education

PhD in Applied Mathematics, Statistics, Physics, or related field

Job description

A biotechnology company in Frisco, Texas, is seeking a Senior Scientist to develop mathematical models for a hybrid causal inference platform. The role requires expertise in mathematical modeling, causal inference, and Bayesian methods to design a foundational framework. The ideal candidate will translate biological knowledge into mathematical representations and work collaboratively with machine learning and bioinformatics teams. A PhD in a related field and hands-on experience with causal modeling techniques are essential.