Remote Life Sciences Researcher — Python & AI Evaluation

Synthires; California; Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Worldwide team

Flexible schedule

Job summary

Synthires is seeking experienced life sciences researchers with strong Python skills for a fully remote, worldwide role. You will apply scientific expertise to evaluate and improve AI systems, using Python to analyze data, develop reproducible analyses, and validate results across biology and related fields.

The position requires hands-on Python work in scientific computing, a solid research background in life sciences, and the ability to communicate technical concepts clearly.

Qualifications

• Strong hands-on Python experience for scientific computing and data analysis.
• Solid scientific or applied research background in life sciences.
• Expertise in biology, medicine, neuroscience, computational biology, or bioinformatics.
• Ability to analyze problems, validate results, and evaluate technical solutions.
• Strong analytical, problem-solving and technical communication skills.
• Familiarity with Python tools for data science and reproducible workflows.

Responsibilities

• Create and solve technically rigorous scientific problems in your area.
• Develop reproducible Python-based analyses, models, simulations, and workflows.
• Analyze datasets using appropriate computational methods.
• Review Python code for correctness, clarity, and completeness.
• Validate results and identify errors in reasoning, methodology, or implementation.
• Provide feedback to support evaluation and improvement of AI systems.

Skills

Python

Data analysis

Scientific computing

Problem solving

Technical communication

Education

PhD

MD

Master's degree

Tools

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Job description

Synthires is seeking experienced life sciences researchers with strong Python skills for a fully remote, worldwide role. You will apply scientific expertise to evaluate and improve AI systems, using Python to analyze data, develop reproducible analyses, and validate results across biology and related fields.

The position requires hands-on Python work in scientific computing, a solid research background in life sciences, and the ability to communicate technical concepts clearly.