Role: Biology Expert (PhD) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience

Role Overview: This role involves providing specialized biological expertise to support AI-driven research initiatives. The position focuses on designing and validating biological models for machine learning applications, ensuring scientific accuracy in data interpretation. Work centers on leveraging computational biology to enhance predictive algorithms in a healthcare-adjacent domain. The role is critical for bridging gaps between wet-lab biology and AI model development.

Key Responsibilities:

• Design and implement biological datasets to train AI models, ensuring alignment with scientific standards.
• Evaluate and refine biological features used in machine learning pipelines to improve model performance.
• Collaborate with data scientists to integrate biological data sources into existing AI frameworks.
• Validate AI-generated predictions through experimental or literature-based biological evidence.
• Document methodologies and findings to support reproducibility and compliance with research protocols.

Required Skills & Qualifications:

• PhD in Biology, Computational Biology, Bioinformatics, or a related field with a focus on quantitative analysis.
• Experience with machine learning workflows, particularly in applying biological data to model training.
• Proficiency in Python or R for data processing, statistical analysis, and biological data manipulation.
• Familiarity with genomic, proteomic, or other high-throughput biological datasets and their applications.
• Ability to interpret AI model outputs in a biological context and communicate insights to technical and non-technical stakeholders.

More About the Opportunity: This project supports the development of explainable AI systems in healthcare, with direct implications for diagnostics and treatment. The scope includes contributing to peer-reviewed research outputs and scalable model improvements. Long-term impact involves advancing AI-driven biological discovery and validation.

Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!