Life Sciences Research Expert (Python)

micro1; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

micro1 is a data lab that helps AI labs train foundational models and agents. The Life Sciences Research Expert (Python) will apply biology and related science to analyze data and validate computational results using Python.

This fully remote, global contractor role (~15 hours/week) offers flexible scheduling. Strong background in biology, neuroscience, or related fields is highly valued.

Qualifications

• PhD, MD, or master's degree with substantial research experience.
• 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 NumX, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant domain-specific libraries.

Responsibilities

• 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.

Skills

Python

Biology

Medicine

Materials

Neuroscience

Astronomy

Education

PhD/MD/Master's with substantial research

Tools

NumX

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Job description

pay

Required Skills
Python
Biology
Medicine
Materials
Neuroscience
Astronomy
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

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 NumX, 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.