Telecommute Computational Life Sciences Research Expert (Python) — Digital AI Training Advisor
Hey! The team at SMR Talent Collective is excited to announce a fresh, high-paying remote role for an enthusiastic Telecommute Computational Life Sciences Research Expert (Python) — Digital AI Training Advisor earning $60 - $120/hour. If you have solid experience in Python, Biology, Medicine, Materials and love working with modern digital tools, you'll feel right at home here. Join a supportive global community of remote evaluators shaping how AI communicates, solves problems, and interacts with real people every day.
What You'll Be Doing Day-to-Day
- Biotechnology and bioinformatics
- Genetics and genomics
- Ecology and evolutionary biology
- Biostatistics or biological data science
- Create and solve technically rigorous scientific problems within your area of expertise.
- Medicine and biomedical science
- Computational biology
What You Bring to the Table
- Strong scientific or applied research background demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
- Practical Python experience for scientific computing, data analysis, modeling, or simulation.
- Familiarity with tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant domain-specific libraries.
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete the hiring manager review.
- Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.
Pay Details & Why This Role Rocks
- Compensation Rate: $60 - $120/hour (verified contractor remuneration)
- Work Arrangement: 100% Remote / Work From Home
- Eligible Remote Countries: United States, United Kingdom, Canada, Australia, New Zealand, Ireland, and South Africa
- Core Competencies: Python, Biology, Medicine, Materials, Neuroscience, Astronomy
- Hiring Lead: Maya Lin (Community Talent Manager) at SMR Talent Collective
Direct Application Process: Click the Apply button on this page to submit your profile directly for immediate evaluation.
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