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