$125k-$250k
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
Preferred: PhD, MD, or master’s degree with substantial research experience in a relevant life sciences discipline
flexible
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Fully remote contractor role, approximately 15 hours per week, with flexible hours. The listing states pay of $60–$120 per hour but also says compensation is output-based and paid per task, with time per task varying; the effective earnings are therefore unclear. Country eligibility must be verified on the official posting. Work includes creating, solving, and reviewing scientific problems and Python-based analyses for evaluating and improving AI systems. Start is expected within 24–48 hours after onboarding.
Backend, Customer success, Data, Operations, Product
Global; specific eligible countries not stated
Global
Experienced expert; specific seniority level not stated · Contractor
Backend hiring on WFH.team
This role's listed pay is near the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketComputational Bioscience Expert (Python) at micro1
Role Title: Computational Bioscience Expert (Python)
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if desired
micro1 is seeking experienced Computational Bioscience Expert with strong, hands-on Python skills to contribute to projects focused on evaluating and improving advanced AI systems.
In this role, you will apply your scientific expertise to create, solve, and review challenging research problems within biology and related fields. You will use Python to analyze scientific data, develop reproducible solutions, validate computational results, and identify errors in technical reasoning or code.
Areas of Expertise
We are particularly interested in candidates with expertise in one or more of the following:
Medicine and biomedical science
Computational biology
Neuroscience
Molecular and cellular biology
Biotechnology and bioinformatics
Genetics and genomics
Ecology and evolutionary biology
Biostatistics or biological data science
Etc.
Scope of Work
Create and solve technically rigorous scientific problems within your area of expertise.
Develop reproducible Python-based analyses, models, simulations, or data-processing workflows.
Review scientific solutions and code for correctness, clarity, and completeness.
Preferred qualifications
PhD, MD, or master’s degree with substantial research experience in a relevant life sciences discipline.
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.
Process
Apply to the role and complete the screening questions.
Complete an AI interview of approximately 30 minutes.
Complete the hiring manager review.
Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply..
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.