Remote Life Sciences Research Scientist - Python & AI

Synthires; United States; Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Job summary

Synthires is seeking experienced life sciences researchers with strong Python skills to contribute to projects evaluating and improving AI systems. You will apply scientific expertise to biology, medicine, and related life sciences, using Python to analyze data, develop reproducible solutions, and validate results.

Responsibilities include developing Python-based analyses, models, and data workflows, reviewing solutions for correctness, and providing feedback to enhance AI outputs.

Qualifications

• Strong hands-on Python experience for scientific computing.
• A solid scientific or applied research background in a relevant life sciences discipline.
• Expertise in at least one relevant area, such as biology, medicine, neuroscience, computational biology, or bioinformatics.
• Ability to analyze scientific problems, validate results, and evaluate technical solutions.

Responsibilities

• Create and solve technically rigorous scientific problems within your area of expertise.
• Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
• Analyze and interpret scientific datasets using appropriate computational methods.
• Review scientific solutions and Python code for correctness, clarity, and completeness.
• Validate computational results and identify errors in scientific reasoning, methodology, or implementation.
• Apply domain knowledge to assess the quality and reliability of AI-generated scientific outputs.
• Provide clear, structured feedback to support the evaluation and improvement of advanced AI systems.

Skills

Python

Data analysis

Education

PhD/MD/Master's with research

Tools

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Job description

Synthires is seeking experienced life sciences researchers with strong Python skills to contribute to projects evaluating and improving AI systems. You will apply scientific expertise to biology, medicine, and related life sciences, using Python to analyze data, develop reproducible solutions, and validate results.

Responsibilities include developing Python-based analyses, models, and data workflows, reviewing solutions for correctness, and providing feedback to enhance AI outputs.