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

Synthires; India; Remote; INR 7,776,000 - 15,551,000; Full time

Benefits offered by this job

Fully remote

Job summary

Synthires is seeking experienced life sciences researchers with strong Python skills to contribute to projects that evaluate and improve advanced AI systems. You will apply your scientific expertise to create, solve, and review challenging problems across biology and related disciplines, using Python to analyze data, develop reproducible solutions, and validate computational results.

This role focuses on one or more life sciences areas, including biology, medicine, neuroscience, computational

Qualifications

• Practical, hands-on Python experience for scientific computing, data analysis, modeling, or simulation.
• Strong 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.

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 accuracy and reliability of AI-generated scientific outputs.

Skills

Scientific research

Data analysis

Biology/Medicine/Neuroscience

Education

PhD, MD, or master's degree

Tools

Python

Job description

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 and related disciplines. You will use Python to analyze scientific data, develop reproducible solutions, validate computational results, and identify errors in technical reasoning or code. This opportunity is suitable for researchers with expertise in one or more life sciences fields and practical experience using Python for scientific work.

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 accuracy and reliability of AI-generated scientific outputs.
• Provide clear, structured feedback to support the evaluation and improvement of advanced AI systems.

Required Qualifications

• Practical, hands-on Python experience for scientific computing, data analysis, modeling, or simulation.
• Strong 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 computational results, and evaluate technical solutions.
• Strong analytical, problem-solving, and scientific 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.
• Experience developing reproducible computational workflows, scientific models, or simulations.
• Ability to communicate complex scientific concepts clearly and accurately.

Compensation & Engagement

• Compensation: $60–$120 per hour equivalent, paid per accepted task.
• Work Arrangement: Fully remote, worldwide.
• Time Commitment: Approximately 15 hours per week.

Application Process

• Submit Your Application: Apply for the role and complete the required screening questions.
• AI Interview: Complete an AI interview lasting approximately 30 minutes.
• Hiring Manager Review: Your application, research background, and technical qualifications will be reviewed.
• Onboarding: Selected candidates will complete onboarding before beginning their first task.