Life Sciences Research Expert
Must-have:PythonAIRemote
Your tasks
- Create and solve challenging scientific problems within your area of expertise.
- Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
- Analyze scientific datasets and validate computational findings.
- Review scientific solutions and code for accuracy, clarity, and completeness.
- Identify errors in scientific reasoning, calculations, and computational implementations.
- Provide technical feedback to improve AI-generated scientific responses.
- Document research methods, analytical approaches, and solutions clearly.
- Complete assigned tasks according to project specifications and quality standards.
Requirements
Required Skills
- PhD, MD, or master's degree with substantial research experience in a relevant life sciences discipline.
- Demonstrated research experience through publications, thesis work, computational projects, industry research, or equivalent achievements.
- Practical Python experience in scientific computing, data analysis, modeling, or simulation.
- Familiarity with scientific Python tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, and Jupyter Notebook.
- Experience with domain-specific scientific libraries or computational research workflows.
- Strong Python programming skills.
- Expertise in at least one relevant life sciences discipline.
- Scientific data analysis and interpretation.
- Research problem-solving and critical thinking.
- Computational modeling, simulation, or statistical analysis.
- Ability to evaluate technical solutions and scientific reasoning.
- Strong written communication and documentation skills.
What we offer
Compensation and Work Arrangement
- Remuneration: NGN 500,000 monthly
- Work commitment: Approximately 15 hours per week
- Location: Global and fully remote
- Engagement: Independent contractor
- Schedule: Flexible, subject to project requirements