Remote STEM Research Scientist — Part-Time AI Solver

Synthires; Greater London; À distance; GBP 62 000 - 124 000; Temps partiel

Avantages offerts par ce poste

Flexible schedule

Output-based pay

Remote work

Résumé du poste

Synthires is seeking a STEM Expert (MSc./PhD) for a remote, part-time contractor role. You will solve advanced scientific and mathematical problems, review AI-generated solutions, and validate results using Python. Expect to work about 15 hours per week with flexible scheduling and output-based pay of $60–$120 per hour.

Immediate onboarding and fast task start within 24–48 hours are preferred. Ideal candidates have deep STEM expertise and experience with coding agents in technical workflows;

Qualifications

• Deep expertise in at least one STEM field (chemistry, biology, mathematics, physics, geoscience, environmental science, robotics).
• Proficiency in Python or another programming language.
• Strong scientific or quantitative problem-solving skills.
• Experience using coding agents in technical workflows.

Responsabilités

• Solve complex scientific, mathematical, and technical problems within your area of expertise.
• Review AI-generated solutions for scientific, mathematical, and factual accuracy.
• Identify incorrect assumptions, reasoning errors, and overlooked constraints.
• Use Python or other programming languages for calculations, simulations, and validation.
• Provide rigorous, technically accurate solutions and feedback.

Connaissances

STEM expertise

Python proficiency

Problem solving

Formation

MSc or PhD

Outils

NumPy

SciPy

pandas

SymPy

Jupyter

Description du poste

Synthires is seeking a STEM Expert (MSc./PhD) for a remote, part-time contractor role. You will solve advanced scientific and mathematical problems, review AI-generated solutions, and validate results using Python. Expect to work about 15 hours per week with flexible scheduling and output-based pay of $60–$120 per hour.

Immediate onboarding and fast task start within 24–48 hours are preferred. Ideal candidates have deep STEM expertise and experience with coding agents in technical workflows;