Life Sciences Research Expert (Python)

JT AI Labs

$60-120/hrAustriaContract & freelanceExpert / credentialed
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 Pytho

About the role

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. …

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