Computational Bioscience Expert; Python
-
Research/Development
Research Scientist, Data Scientist
Job Description & How to Apply Below
Create and solve biology research problems, build Python analyses and models, and review scientific code for AI evaluation. Remote, flexible work averages about 15 hours weekly and pays $60 to $120 per hour equivalent, paid per task that meets project specifications.
$60–$120/hr
Compensation
Contract, part-time
Engagement
Remote
Location
- Algeria
- Argentina
- Austria
- Bahrain
- Bangladesh
- Belgium
- Brazil
- Canada
- Chile
- Colombia
- Denmark
- Egypt
- France
- Germany
- Ghana
- Greece
- India
- Indonesia
- Italy
- Japan
- Jordan
- Kazakhstan
- Kenya
- Kuwait
- Kyrgyzstan
- Lebanon
- Malaysia
- Mexico
- Morocco
- Netherlands
- Nigeria
- Oman
- Pakistan
- Palestine
- Peru
- Philippines
- Portugal
- Qatar
- Saudi Arabia
- Singapore
- South Africa
- Spain
- Sri Lanka
- Switzerland
- Taiwan
- Thailand
- Tunisia
- United Arab Emirates
- United Kingdom
- United States
- Uzbekistan
- Vietnam
Create and solve challenging research problems in biology and related life sciences. Use Python to analyze data, build models and simulations, and create data-processing workflows.
Review scientific solutions and code for correctness, clarity, completeness, and sound reasoning. Check that computational results are valid and reproducible, and identify errors in methods, calculations, or code.
- Work may cover medicine and biomedical science, computational biology, neuroscience, molecular and cellular biology, biotechnology, bioinformatics, genetics and genomics, ecology, evolutionary biology, biostatistics, or biological data science.
- Pay: $60 to $120 per hour equivalent, paid per task that meets project specifications.
- Workload:
Approximately 15 hours per week, with flexible scheduling. - Location:
Fully remote and open to candidates in the eligible countries listed for this role. - Language:
Fluency in English. - Education and research: A PhD, MD, or master's degree with substantial research experience in a relevant life sciences field, or equivalent accomplishments. Research experience may come from publications, thesis work, computational projects, industry research, or related work.
- Python:
Practical experience with scientific computing, data analysis, modeling, or simulation. - Review skills:
Ability to assess scientific solutions and code for correctness and reproducibility. - Tools:
Familiarity with tools such as Num Py, pandas, Sci Py, Matplotlib, scikit-learn, Jupyter, or relevant field-specific libraries.
AI training work is the human side of building AI: people create and review examples that help models learn. This role uses life sciences expertise and computational work to assess and improve AI systems.
Requirements- Experience:
Mid-Senior level
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).