Biology Benchmark Researcher (AI Data Trainer)
Core
Design and solve challenging Biology problems for AI model evaluation and create evaluation benchmarks for advanced Biology topics.
Role type
Biology Benchmark Researcher (AI Data Trainer)
Builds
Evaluation benchmarks for advanced Biology curricula and AI model performance improvements
Domain
Biology + AI/LLM evaluation
Deliverable
production ML models
Required skills
Scientific reasoning, data interpretation, problem-solving, independent work, English comprehension
Preferred skills
Advanced studies in Biology/Biotechnology/Biochemistry, proficiency in bioinformatics tools
Technologies
BWA, Bowtie2, GATK, HMMER, HHsuite, STAR, SPAdes, IQ-TREE, OpenMM, AlphaFold2, PyOpenMS, RELION, PhysiCell, COPASI, Comet, COBRApy, Hifiasm, ABySS, DeepVariant, Flye, OR-Tools, Bracken, Kraken2, MEGAHIT, antiSMASH, BEAST2, FastTree, DIA-NN, Percolator, AutoDock Vina, CP2K, Salmon, MethylDackel, Canu, GROMACS
Responsibilities
Design and solve challenging Biology problems for AI model evaluation, Create clear, step-by-step solutions with strong scientific reasoning, Collaborate with researchers to improve AI model performance, Contribute to benchmark creation for Biology curricula, Analyze areas where language models struggle, Provide detailed annotations and constructive feedback
Seniority
Individual Contributor, advanced degree required