Life Science Research Scientist (Remote | $60–$120/hr)

Synthires; California; A distancia; USD 83.000 - 165.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Descripción de la vacante

Synthires is seeking experienced life sciences researchers with strong Python skills to contribute to projects evaluating and improving advanced AI systems.

You will apply scientific expertise to biology, medicine, and related disciplines, using Python to analyze scientific data, develop reproducible analyses, validate computational results, and identify errors in reasoning or code. This is a fully remote, worldwide role with flexible time commitment and weekend option.

Formación

• Hands-on Python experience for scientific computing, data analysis, modeling, or simulation.
• Solid scientific or applied research background in a life sciences discipline.
• Expertise in biology, medicine, neuroscience, computational biology, or bioinformatics.
• Ability to analyze scientific problems, validate results, and evaluate technical solutions.
• Strong analytical, problem-solving, and technical communication skills.

Responsabilidades

• Create and solve technically rigorous scientific problems within your area of expertise.
• Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
• Analyze and interpret scientific datasets using appropriate computational methods.
• Review scientific solutions and Python code for correctness, clarity, and completeness.
• Validate computational results and identify errors in scientific reasoning, methodology, or implementation.
• Apply domain knowledge to assess the quality and reliability of AI-generated scientific outputs.
• Provide clear, structured feedback to support the evaluation and improvement of advanced AI systems.

Conocimientos

Python

Data analysis

Modeling

Simulation

Scientific computing

Technical communication

Educación

PhD or MD or Master’s degree

Herramientas

NumPy

pandas

SciPy

Matplotlib

scikit-learn

Jupyter

Descripción del empleo

Compensation: $60–$120 per hour equivalent

Location: Fully Remote (Worldwide)

About the Opportunity

We are 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 across biology, medicine, and related life sciences disciplines. 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 areas:

• Medicine and Biomedical Science
• Computational Biology
• Molecular and Cellular Biology
• Biotechnology and Bioinformatics
• Genetics and Genomics
• Ecology and Evolutionary Biology
• Biostatistics and Biological Data Science

Key Responsibilities

• Create and solve technically rigorous scientific problems within your area of expertise.
• Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
• Analyze and interpret scientific datasets using appropriate computational methods.
• Review scientific solutions and Python code for correctness, clarity, and completeness.
• Validate computational results and identify errors in scientific reasoning, methodology, or implementation.
• Apply domain knowledge to assess the quality and reliability of AI-generated scientific outputs.
• Provide clear, structured feedback to support the evaluation and improvement of advanced AI systems.

Required Qualifications

• Strong hands-on Python experience for scientific computing, data analysis, modeling, or simulation.
• A solid scientific or applied research background in a relevant life sciences discipline.
• Expertise in at least one relevant area, such as biology, medicine, neuroscience, computational biology, or bioinformatics.
• Ability to analyze scientific problems, validate results, and evaluate technical solutions.
• Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications

• PhD, MD, or master's degree with substantial research experience in a relevant life sciences discipline.
• Research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
• Familiarity with scientific Python tools and libraries, including: NumPy, pandas, SciPy, Matplotlib, scikit-learn, Jupyter
• Experience developing reproducible computational workflows or scientific simulations.

Compensation & Engagement

• Compensation: $60–$120 per hour equivalent, paid per accepted task.
• Work Arrangement: Fully remote, worldwide.
• Time Commitment: Approximately 15 hours per week.
• Schedule: Flexible, with the option to work on weekends.