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STEM Expert - Biology & Bioinformatics (PhD) - Remote ($45 - $90/hr)

PublishedPublished: 6/14/2022
Technology

Job Description

Job 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 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.
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