For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
D

Daron Murray

Computational Biology Research Consultant – AI Biology Task Creation/Data Labeling

USA flagRemote, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

Biology Domain Expertise
Computational Biology
Bioinformatics Domain Expertise

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

Computational Biology Research Consultant – AI Biology Task Creation/Data Labeling. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, Georgetown University (2023) and Master of Science, University of California, Los Angeles (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT).

Expert

Labeling Experience

Computational Biology Research Consultant – AI Biology Task Creation/Data Labeling

Prompt Response Writing SFT
Designed and developed advanced biology problems requiring Python-based validation specifically for AI training environments. Created research-grade biology and bioinformatics prompts for use in evaluating AI reasoning and code solutions. Built, tested, and validated datasets and computational biology scenarios for AI training and assessment.• Led creation of complex biology and systems biology tasks for AI testing • Used BioPython, NumPy, and Pandas to process and analyze biological code • Devised step-by-step labeled solutions for biology problems • Ensured tasks and data were too complex for manual solving, suitable for AI only

Designed and developed advanced biology problems requiring Python-based validation specifically for AI training environments. Created research-grade biology and bioinformatics prompts for use in evaluating AI reasoning and code solutions. Built, tested, and validated datasets and computational biology scenarios for AI training and assessment.• Led creation of complex biology and systems biology tasks for AI testing • Used BioPython, NumPy, and Pandas to process and analyze biological code • Devised step-by-step labeled solutions for biology problems • Ensured tasks and data were too complex for manual solving, suitable for AI only

2022 - Present

Education

U

University of California, Los Angeles

Master of Science, Bioinformatics

Master of Science
2021 - 2023
U

University of California, Los Angeles

Bachelor of Science, Biology

Bachelor of Science
2016 - 2020

Work History

F

Freelance

Computational Biology Research Consultant

Remote
2022 - Present
N

N/A

Academic Tutor – Biology & Statistics

Remote
2018 - Present