STEM Expert – Biology & Bioinformatics (PhD)

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 Qualifications: - 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: - Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments. - Experience with AI/ML-assisted biology workflows or benchmarking. - Peer-reviewed publications, patents, or contributions to open-source bioinformatics software. Originally posted on Himalayas