Job Title: STEM Expert – Biology & Bioinformatics (PhD)
Job Type: Contract
Location: Remote(Worldwide)
Required Skills:
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Scientific software configuration
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Ai/ml-assisted chemistry workflows
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Quantitative analysis
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Analytical reasoning
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Scientific programming
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Written communication
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Verbal communication
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Documentation
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Problem-solving
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:
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Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
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Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
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Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
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Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
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Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
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Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
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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):
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Genomics & NGS analysis
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Transcriptomics & single-cell analysis
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Proteomics & structural biology
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Molecular & cell biology
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Systems biology & biological network analysis
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Drug discovery & computational pharmacology
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Biostatistics & machine learning applied to biology
Required Skills and Qualifications:
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PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
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Professional written and spoken English (C1 or higher).
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Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data.
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Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
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Strong statistical, quantitative, and analytical reasoning skills.
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Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
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Track record of rigorous scientific problem-solving in complex biological domains.
Preferred Qualifications:
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Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments.
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Experience with AI/ML-assisted biology workflows or benchmarking.
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Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
Originally posted on Himalayas
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