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.

- 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.

- 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.