[Hiring] Biology Benchmark Researcher @Careerflow.ai

Role Description

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.

• 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

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

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
• 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

Benefits

• Fully remote work setup
• Opportunity to work on cutting-edge AI projects
• Collaborate with leading LLM research teams
• Potential contract extension based on performance