micro1Coding & software eval
Life Sciences Research Expert (Python)
up to $120/hr
About this role, in micro1's words
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.
What you'll do
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.
Candidate background
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.
Quoted from selected sections of micro1's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in micro1's words
Posted by micro1, reproduced here so you can judge the role before clicking. Original posting ↗
Role Title: Life Sciences Research 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 life sciences researchers 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 with micro1Pay, getting started and work, from micro1's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Paid in US dollars twice a month through Deel, usually landing around the 5th and the 20th. Nothing is paid until Deel's identity check is done. library.micro1.ai/working/faqs, library.micro1.ai/working/payroll-policy
- Before your first paid task
- An AI interview with micro1's recruiter Zara, then your profile, ID verification, a KarmaCheck background check and the Deel contract. Some pipelines add a quiz or test task. micro1.ai/experts, micro1.ai/ai-interview-guide, library.micro1.ai/getting-started/next-steps-after-certif..., library.micro1.ai/working/faqs, library.micro1.ai/working/what-to-expect
- How much work
- Certification makes you eligible but does not guarantee placement. micro1's FAQ puts the usual commitment at about 15 to 20 hours a week, depending on the client. micro1.ai/experts, library.micro1.ai/working/faqs
- Contract
- Independent contractor, with the contract issued through Deel. library.micro1.ai/policies/understanding-your-expert-agre..., library.micro1.ai/working/deel
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
Alex's experience on micro1A personal account, not a promise about your project
Alexruns this site and has worked on micro1 himself. Written 31 Aug 2026.
- Every interview I took used an AI interviewer, and some included a timed business exercise of around 25 minutes.
- On later applications, interview reuse on micro1 was often partial, and I still answered questions about one to three additional skills.
- I entered a requested rate for the job. One listing showed about $180 an hour. I requested about $160 and received the rate I entered. Those amounts are approximate, and this describes my application, not proof that a lower request caused acceptance.
- Onboarding and setup came to about 2 hours, with clear materials. Of the three platforms I worked on, it was the easiest transition into work. That is an estimate from my projects, not a platform average.
- On my micro1 project, Hubstaff showed time and mouse or keyboard activity, not screenshots, app names or website history. That describes what I saw, not every possible setup.
- I was paid for hours logged, once every 14 days, and I have not experienced late or incorrect payments. That was my arrangement.
One person's applications, not a promise about yours.
What happens after you apply, first-handHow does the pay compare?Across Coding & software eval roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from micro1's posting. How we count.
Pay across the field: Coding & software eval
Across 392 roles in this field with a stated hourly rate in US dollars, on 14 platforms, the middle half pays $65 to $120 an hour at the top of the range, and the median is $90. This role's top rate, $120, is in the top quarter. Of the 139 distinct rates we count, 95 are lower and 30 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 127 | $50 to $400 · median $100 |
| micro1 (this platform) | 48 | $60 to $400 · median $110 |
| Handshake AI | 43 | $47 to $125 · median $80 |
| Mercor | 36 | $60 to $200 · median $110 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 21 Oct 2026, and still on micro1's list when we last read it on 25 Oct 2026.
- The listed pay has not changed since then.
- Posted by micro1
- First seen by AIPayList
- Last seen live
- Listing ID
- f796a3ec-8108-4e21-9497-f70b6d3ff3b1
Pay as the source states it: “micro1 job record, ideal_hourly_rate: $60–$120/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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