Remote Life Sciences Researcher (Python & AI Validation)

Synthires

California

Remote

USD 83,000 - 165,000

Full time

5 hours ago
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Benefits offered by this job

Fully remote worldwide
Flexible schedule
15 hours per week

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.

You will review scientific solutions and Python code for correctness and clarity, and provide feedback to support the evaluation and improvement of advanced AI systems.

Qualifications

  • Strong hands-on Python experience for scientific computing and data analysis.
  • Solid research background in life sciences disciplines.
  • Expertise in biology, medicine, neuroscience, computational biology, or bioinformatics.

Responsibilities

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

Skills

Python
Scientific computing
Data analysis
Analytical skills
Technical communication

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.

You will review scientific solutions and Python code for correctness and clarity, and provide feedback to support the evaluation and improvement of advanced AI systems.

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