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Computational Bayesian Statistics and Applied… at Jobgether · India
Skills
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Computational Bayesian Statistics and Applied Mathematics Expert based in India.
Join an innovative initiative focused on advancing the capabilities of next-generation AI systems through complex scientific benchmarking. In this role, you will design graduate-level computational challenges that evaluate AI performance on real-world research and engineering workflows. Working remotely with leading-edge scientific software, you will create, test, and refine sophisticated problems that demand analytical thinking, computational expertise, and practical research experience. This position is ideal for professionals with a strong background in Bayesian statistics, applied mathematics, or numerical computing who are passionate about shaping the future of AI through rigorous scientific evaluation. You'll enjoy the flexibility of an independent contractor role while contributing to impactful, cutting-edge research projects.
Accountabilities
- Design original graduate-level computational problems that evaluate AI systems on advanced scientific and engineering workflows.
Develop realistic research scenarios involving Bayesian statistics, applied mathematics, numerical simulations, optimization, and related computational methods.
Create problem setups, Python-based validation scripts, oracle functions, and evaluation criteria to accurately assess AI-generated solutions.
Test problems against advanced AI models, analyze results, and iteratively refine tasks to achieve the desired level of complexity and difficulty.
Utilize specialized scientific software and libraries to build authentic research-grade computational challenges.
Ensure problem quality, reproducibility, and technical accuracy while maintaining clear documentation throughout the development process.
Collaborate with project stakeholders by incorporating feedback and continuously improving benchmark quality and effectiveness.
Requirements
Master's degree, PhD, or equivalent research experience in Applied Mathematics, Statistics, Computer Science, Engineering, or another relevant STEM discipline.
Strong hands-on experience with at least one specialized scientific library such as PyMC, PyStan, PyJAGS, CmdStanPy, FEniCS, FEniCSx, DOLFINx, scikit-fem, FiPy, Devito, Dedalus, GUDHI, DACEyPy, lmfit, or comparable research tools.
Practical expertise in areas such as Bayesian modeling, MCMC, finite element or finite difference methods, computational topology, differential algebra, optimization, or related computational mathematics techniques.
Advanced Python programming skills with experience building research software, simulations, or computational workflows.
Demonstrated research, open-source, or professional experience applying computational methods to solve complex scientific problems.
Ability to work independently, iterate on technical designs, and incorporate feedback effectively.
Comfortable working in Linux environments and remote computational sandboxes.
Availability to contribute approximately 15–20 hours per week.
Experience with benchmark development, scientific teaching, computational reproducibility, containerized environments, or multiple scientific domains is considered a strong advantage.
Benefits
- Fully remote contractor position with flexible working hours.
- Competitive hourly compensation ranging from $70–$100 USD per hour.
- Weekly payments through Stripe or Wise.
- Flexible project schedule with the ability to work independently.
- Opportunity to collaborate on cutting-edge AI research initiatives.
- Exposure to advanced scientific computing, machine learning evaluation, and frontier AI technologies.
- Potential for project extensions based on performance and business needs.
- Work alongside leading researchers and technical experts on impactful scientific challenges.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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