2D AGO

STEM Expert – Biology & Bioinformatics (PhD)

micro1 / STEM Expert – Biology & Bioinformatics (PhD)

RATE

$45 - $90/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

Job Title: STEM Expert – Biology & Bioinformatics (PhD) Job Type: Contractor Location: Remote(Worldwide) Job Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives. • Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines. • Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility. • Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations. • Leverage domain knowledge to guide the development and validation of biology-related AI models and tools. • Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators. • Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team. Areas of Expertise (we welcome applicants from any of the following): • Genomics & NGS analysis • Transcriptomics & single-cell analysis • Proteomics & structural biology • Molecular & cell biology • Systems biology & biological network analysis • Drug discovery & computational pharmacology • Biostatistics & machine learning applied to biology Required Skills and

REQUIREMENTS

▸PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
▸Professional written and spoken English (C1 or higher).
▸Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data.
▸Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
▸Strong statistical, quantitative, and analytical reasoning skills.
▸Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
▸Track record of rigorous scientific problem-solving in complex biological domains.
▸Preferred Qualifications: