In this role, you will collaborate on AI-focused projects involving reasoning, problem-solving, data interpretation, and scientific explanation development. You will also contribute to building evaluation benchmarks for advanced Biology topics ranging from undergraduate to PhD-level concepts.
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, including abstraction and multi-step reasoning
• Provide detailed annotations and constructive feedback
Required Qualifications
• Master’s degree, Ph.D., Postdoctoral degree, or currently pursuing advanced studies in:
• Biology
• Biotechnology
• Biochemistry
• Related fields
• Strong research and analytical skills
• Excellent English comprehension and communication skills
• Ability to work independently in a remote environment
• Reliable desktop/laptop and internet connection
• Availability for 40 hours/week with at least 4 hours PST overlap
Technical Requirements
Candidates should be proficient in at least three of the following tools:
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, and GROMACS.
Additional Notes
• LinkedIn profile must be included in the resume
• Candidates will undergo a background verification after onboarding
• Work allocation begins only after successful verification
• This is a freelance/contractor engagement with no medical or paid leave benefits
Perks
• Fully remote work setup
• Opportunity to work on cutting-edge AI projects
• Collaborate with leading LLM research teams
• Potential contract extension based on performance