๐Ÿงฌ Life Sciences Research Expert (Python) – Remote AI Job at micro1 | $60–$120/hr Remote Openings 100

๐Ÿงฌ Life Sciences Research Expert (Python) – Remote AI Job at micro1 | $60–$120/hr Are you a life sciences researcher with strong Python programming skills and a passion for scientific problem-solving? ๐Ÿ”ฌ micro1 is looking for experienced research professionals to help evaluate and improve advanced AI systems through challenging scientific tasks, computational analysis, and technical code reviews. In this fully remote contractor role, you will create and solve scientific research problems, analyze data using Python, develop reproducible computational solutions, and evaluate the accuracy of AI-generated scientific reasoning. ๐Ÿ“Œ Job Details - ๐Ÿ’ผ Job Title: Life Sciences Research Expert (Python) - ๐Ÿข Company: micro1 - ๐ŸŒŽ Location: Global – Fully Remote - ๐Ÿ“‹ Job Type: Independent Contractor - ๐Ÿ’ฐ Listed Pay Rate: $60–$120 per hour - ๐Ÿ‘ฅ Openings: 100 - ⏰ Time Commitment: Approximately 15 hours per week - ๐Ÿ“… Schedule: Flexible; choose your working hours and days - ๐Ÿค– Project Focus: Scientific research and AI evaluation ๐Ÿ› ️ Key Responsibilities - ๐Ÿงช Create and solve challenging scientific problems within your area of expertise. - ๐Ÿ Develop Python-based analyses, models, simulations, and data-processing workflows. - ๐Ÿ“Š Analyze scientific datasets and validate computational results. - ๐Ÿ” Review scientific solutions and code for correctness, clarity, and completeness. - ๐Ÿง  Identify errors in AI-generated scientific reasoning and technical implementations. - ๐Ÿ“š Produce reproducible research solutions that follow sound scientific practices. ๐Ÿ”ฌ Areas of Expertise Candidates with expertise in one or more of the following fields are encouraged to apply: - ๐Ÿฉบ Medicine and biomedical science - ๐Ÿงฌ Computational biology - ๐Ÿง  Neuroscience - ๐Ÿ”ฌ Molecular and cellular biology - ๐Ÿงซ Biotechnology and bioinformatics - ๐Ÿงฌ Genetics and genomics - ๐ŸŒฑ Ecology and evolutionary biology - ๐Ÿ“ˆ Biostatistics and biological data science - ๐Ÿ”ญ Other relevant scientific disciplines ๐ŸŽ“ Required Skills - ๐Ÿ Strong, hands-on Python programming skills - ๐Ÿงช Scientific research and problem-solving - ๐Ÿ“Š Data analysis and computational reasoning - ๐Ÿ” Technical validation and code review - ๐Ÿงฌ Subject-matter expertise in life sciences or a related discipline ⭐ Preferred Qualifications - ๐ŸŽ“ PhD, MD, or master's degree with substantial research experience in a relevant scientific discipline. - ๐Ÿ“š Research experience demonstrated through publications, a thesis, computational projects, industry research, or equivalent accomplishments. - ๐Ÿ’ป Practical Python experience in scientific computing, data analysis, modeling, or simulation. - ๐Ÿ› ️ Familiarity with relevant tools and libraries, such as: - NumPy - pandas - SciPy - Matplotlib - scikit-learn - Jupyter Notebook - Domain-specific scientific libraries ๐Ÿ’ต Compensation Structure The listed pay rate is $60–$120 per hour. Compensation is output-based, with payment for tasks that meet the project's specifications. The time needed to complete each task may vary depending on experience and workflow. Minimum submission requirements apply, so actual earnings depend on completed and accepted work. ๐Ÿ“ Application and Hiring Process The hiring process includes three stages: 1. ๐Ÿ“ Apply: Submit your application and complete the screening questions. 2. ๐Ÿค– AI Interview: Complete an interview lasting approximately 30 minutes. 3. ๐Ÿ‘” Hiring Manager Review: Your application will be reviewed by the hiring team. ⏳ Start Timeline - ⚡ Roles are typically filled within 48 hours. - ๐Ÿš€ Selected candidates are expected to begin their first task within 24–48 hours after completing onboarding. ๐ŸŒ Who Should Apply? This opportunity is ideal for experienced life sciences researchers, biomedical professionals, computational biologists, neuroscientists, and scientific data specialists who combine deep subject knowledge with strong Python skills. Candidates should be comfortable developing computational solutions, validating scientific results, and reviewing technical work for accuracy. Apply Now