Life Sciences Research Expert (Python)

OpenTrain AI, Inc.; EE. UU.; A distancia; USD 83.000 - 165.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Part-time contract

Descripción de la vacante

OpenTrain AI, Inc. offers a fully remote contractor role to evaluate and improve AI systems across life sciences. You’ll tackle challenging research problems, using Python, data analysis, and modeling to review and validate scientific solutions and code.

The position is part-time, around 15 hours per week, with an hourly rate of $60–$120. Applicants should have strong English, advanced life sciences training, and practical computational experience.

Formación

• Entry level role but requires substantial research experience and practical scientific computing skills.

Responsabilidades

• Create and solve technically rigorous research problems in life sciences.
• Build reproducible Python analyses, models, simulations, and data-processing workflows.
• Review scientific solutions and code for correctness, clarity, and sound reasoning.
• Analyze scientific data and validate computational results.
• Find errors or weaknesses in scientific explanations, calculations, and implementations.

Conocimientos

Python programming

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

data analysis

modeling

simulation

Educación

PhD/MD/Master's in life sciences

Herramientas

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Descripción del empleo

Create, solve, and review life sciences research problems for AI evaluation using Python, scientific data analysis, modeling, and code review. Pay is $60 to $120 per hour equivalent, paid per task that meets the project specifications, with about 15 flexible hours per week.

$60–$120/hr

equivalent, paid per accepted task

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 21, 2026

Posted

Open in 52 countries

India + more

• Algeria


• Argentina


• Austria


• Bahrain


• Bangladesh


• Belgium


• Brazil


• Canada


• Chile


• Colombia


• Denmark


• Egypt


• France


• Germany


• Ghana


• Greece


• India


• Indonesia


• Italy


• Japan


• Jordan


• Kazakhstan


• Kenya


• Kuwait


• Kyrgyzstan


• Lebanon


• Malaysia


• Mexico


• Morocco


• Netherlands


• Nigeria


• Oman


• Pakistan


• Palestine


• Peru


• Philippines


• Portugal


• Qatar


• Saudi Arabia


• Singapore


• South Africa


• Spain


• Sri Lanka


• Switzerland


• Taiwan


• Thailand


• Tunisia


• United Arab Emirates


• United Kingdom


• United States


• Uzbekistan


• Vietnam

The Work

You will help evaluate and improve AI systems by working on difficult research problems in biology and related life sciences. The work combines scientific reasoning, Python programming, data analysis, and detailed review of technical solutions.

Your work may cover medicine and biomedical science, computational biology, neuroscience, molecular and cellular biology, biotechnology, bioinformatics, genetics and genomics, ecology and evolutionary biology, biostatistics, or biological data science.

• Create and solve technically rigorous research problems in a relevant life sciences specialty.


• Build reproducible Python analyses, models, simulations, and data-processing workflows.


• Review scientific solutions and code for correctness, clarity, completeness, and sound reasoning.


• Analyze scientific data and validate computational results.


• Find errors or weaknesses in scientific explanations, calculations, and implementations.

What It Pays And Takes

This is a fully remote contractor role with a flexible part-time schedule. The role is listed as entry level, but it requires substantial research experience and practical scientific computing skills.

• $60 to $120 per hour equivalent, paid per task that meets the project specifications.


• About 15 hours per week on a flexible schedule.


• Fully remote, open to candidates in the countries specified for this role.


• Professional fluency in English.


• A PhD, MD, or master's degree in a relevant life sciences discipline, or equivalent research accomplishments.


• Substantial research experience shown through publications, thesis work, computational projects, or industry research.


• Practical Python experience in scientific computing, data analysis, modeling, or simulation.


• Familiarity with NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or comparable domain-specific libraries.

About AI Training Work

AI training is the human work behind artificial intelligence, including preparing examples, testing model outputs, and reviewing reasoning, code, and results. OpenTrain helps people find these roles, build a profile, and apply to projects that match their skills.

Requirements

• Experience: Entry level