Biology AI Researcher — Remote Contract

Alignerr Corp.; Seattle (WA); Remote; USD 55,000 - 103,000; Part time

Job summary

Alignerr is seeking a Biology Expert to help train advanced AI models by solving and critiquing complex biology problems. You will leverage your Masters or PhD in biology to craft high-quality problem statements and evaluate AI-driven reasoning with rigorous scientific standards.

Remote, flexible contract requiring 10–40 hours per week, with collaboration among AI researchers and domain experts to push model performance while ensuring clarity and accuracy.

Qualifications

• Must hold a Master’s or PhD in Biology, Genetics, Molecular Biology, Bioinformatics, or a closely related field.
• Deep knowledge in at least one of genetics, biotechnology, or bioinformatics.
• Proficiency in Python or R for scripting and data analysis.
• Excellent written and verbal communication in English.
• Detail-oriented with a systematic, scientific approach to problem-solving.

Responsibilities

• Design, solve, and critically review advanced biology problems with real-world scientific relevance.
• Apply expertise in genetics, biotechnology, bioinformatics, or related fields to construct complex problem statements
• Evaluate AI-generated biological reasoning for scientific accuracy, depth, and clarity.
• Collaborate asynchronously with AI researchers and fellow domain experts to sharpen model performance.
• Ensure every deliverable meets the highest standards of scientific rigor and precision.

Skills

Genetics

Biotechnology

Bioinformatics

Python

R

English communication

Education

Master's or PhD in Biology/Genetics/Bioinformatics

Tools

Python

R

Job description

Alignerr is seeking a Biology Expert to help train advanced AI models by solving and critiquing complex biology problems. You will leverage your Masters or PhD in biology to craft high-quality problem statements and evaluate AI-driven reasoning with rigorous scientific standards.

Remote, flexible contract requiring 10–40 hours per week, with collaboration among AI researchers and domain experts to push model performance while ensuring clarity and accuracy.