Computational Bioscience Expert (Python)

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. seeks a Computational Bioscience Expert (Python) to tackle biology research problems, build Python analyses and models, and review scientific code for AI evaluation.

This remote, part-time role averages about 15 hours weekly and pays $60 to $120 per hour, with flexible project-based work and tasks aligned to specifications. The position welcomes candidates from diverse life sciences backgrounds who can apply scientific computing skills to data analysis, modeling, and

Qualifications

• PhD/MD or master’s with substantial life sciences research.
• Experience with publications, theses, or computational projects.
• Proficiency with Python scientific stack (NumPy, pandas, SciPy, etc.).

Responsibilities

• Create and solve biology research problems using Python analyses and models.
• Review code for correctness, reproducibility, and sound reasoning.

Skills

Python

Data analysis

Modeling

Review scientific code

Education

PhD/MD/Master's with substantial life sciences research

Tools

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Job description

Computational Bioscience Expert (Python)

Create and solve biology research problems, build Python analyses and models, and review scientific code for AI evaluation. Remote, flexible work averages about 15 hours weekly and pays $60 to $120 per hour equivalent, paid per task that meets project specifications.

$60–$120/hr

Compensation

Contract, part-time

Engagement

Remote

Location

• 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

Create and solve challenging research problems in biology and related life sciences. Use Python to analyze data, build models and simulations, and create data-processing workflows.

Review scientific solutions and code for correctness, clarity, completeness, and sound reasoning. Check that computational results are valid and reproducible, and identify errors in methods, calculations, or code.

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

What it pays and takes

• Pay: $60 to $120 per hour equivalent, paid per task that meets project specifications.
• Workload: Approximately 15 hours per week, with flexible scheduling.
• Location: Fully remote and open to candidates in the eligible countries listed for this role.
• Language: Fluency in English.
• Education and research: A PhD, MD, or master's degree with substantial research experience in a relevant life sciences field, or equivalent accomplishments. Research experience may come from publications, thesis work, computational projects, industry research, or related work.
• Python: Practical experience with scientific computing, data analysis, modeling, or simulation.
• Review skills: Ability to assess scientific solutions and code for correctness and reproducibility.
• Tools: Familiarity with tools such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter, or relevant field-specific libraries.

About AI training work

AI training work is the human side of building AI: people create and review examples that help models learn. This role uses life sciences expertise and computational work to assess and improve AI systems.

Requirements

• Experience: Mid-Senior level