🌎 Life Sciences Research Expert (Python), Remote- Contract
About The Position
This is a fully remote contract role for a Life Sciences Research Expert with Python skills, focused on creating, solving, and reviewing challenging research problems in biology and related fields. The role involves applying scientific expertise and Python to analyze scientific data, develop reproducible solutions, validate computational results, and identify errors in technical reasoning or code. Areas of interest include medicine and biomedical science, computational biology, neuroscience, molecular and cellular biology, biotechnology and bioinformatics, genetics and genomics, ecology and evolutionary biology, and biostatistics or biological data science. The work is approximately 15 hours per week, with a flexible schedule. Experts choose their own hours and days, including weekends if desired. Compensation is output-based, with payment per task that meets project specifications; the time needed for each task may vary, and minimum submission requirements apply. Selected candidates are expected to begin their first task within 24–48 hours of completing onboarding.
Requirements
- Python skills.
- Expertise in biology or a related scientific field.
- Practical Python experience in scientific computing, data analysis, modeling, or simulation.
Nice To Haves
- A PhD, MD, or master’s degree with substantial research experience in a relevant life sciences discipline.
- A strong scientific or applied research background demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
- Familiarity with tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant domain-specific libraries.
- Expertise in one or more of medicine and biomedical science, computational biology, neuroscience, molecular and cellular biology, biotechnology and bioinformatics, genetics and genomics, ecology and evolutionary biology, or biostatistics and biological data science.
Responsibilities
- Create and solve technically rigorous scientific problems within an area of expertise.
- Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.
- Review scientific solutions and code for correctness, clarity, and completeness.
- Analyze scientific data, validate computational results, and identify errors in technical reasoning or code.
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What This Job Offers
Education Level
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