Assistant Research Programmer

• Develop computational models: Write clean, concise, and efficient Wolfram Language code to implement and explore computational models, including cellular automata, Turing machines, and other formal systems.
• Conduct computational experiments: Run simulations, investigate different parameter spaces, and systematically test model behavior to help address fundamental scientific questions.
• Create scientific visualizations: Design, refine, and optimize visual representations of computational experiments to make complex patterns and results easier to interpret.
• Document and publish research code: Maintain clear, organized, and reusable code, documenting relevant experiments and preparing computational work for publication and further research.
• Support interdisciplinary research: Contribute to investigations involving the origins of life, biological complexity, computational clinical trials, machine learning, and evolutionary AI.
• Optimize simulation performance: Where relevant, develop and improve high-performance implementations using C, Rust, or OpenCL to support computationally intensive experiments.
• Communicate research findings: Help articulate computational results clearly and concisely, making technical observations accessible to researchers and collaborators.
• Contribute to scientific discovery: Apply computational reasoning and experimentation to explore foundational questions and identify meaningful patterns, limitations, and potential directions for further study.

Requirements

• Wolfram Language expertise: Demonstrated fluency in Wolfram Language (Mathematica), including the ability to write clean, concise, efficient, and well-structured code for computational modeling and visualization.
• Computational modeling knowledge: Familiarity with formal computational systems, such as cellular automata and Turing machines, and an interest in exploring their behavior through systematic experiments.
• Scientific curiosity: A strong understanding of and enthusiasm for the computational approach to science, particularly the exploration of fundamental principles through simple computational models.
• Analytical thinking: The ability to investigate complex problems, explore parameter spaces, interpret simulation results, and approach research questions methodically.
• Communication skills: The ability to explain technical concepts, computational results, and scientific observations clearly and concisely.
• High-performance programming (preferred): Experience writing optimized code in C, Rust, or OpenCL to accelerate simulations and handle computationally demanding workloads.
• Interest in scientific disciplines (preferred): Enthusiasm for fields such as biology, medicine, machine learning, mathematics, artificial intelligence, and other areas where computational models can advance scientific understanding.
• Independent and collaborative working style: The ability to work carefully and proactively, document technical work, and contribute to an exploratory research environment where questions may not have predetermined answers.

Benefits

• Opportunity to contribute to research exploring fundamental questions across science, computation, and artificial intelligence.
• Exposure to computational research spanning biology, medicine, machine learning, and the origins of life.
• The opportunity to deepen expertise in Wolfram Language and computational modeling through practical research applications.
• Potential to work on high-performance simulations using C, Rust, and OpenCL, depending on experience and project needs.
• A research-focused environment that encourages intellectual curiosity, rigorous experimentation, and novel approaches to scientific problems.
• Remote position based in the United States.
• Compensation and additional benefits: Salary, healthcare coverage, retirement plans, paid time off, and other employment benefits were not specified in the available job description.