STEM Expert – Biology & Bioinformatics (PhD)
micro1Legit · not rated yetPosted 10 days ago
Pay: $45–90/hr
- Who can apply
- Countries not stated in the listing
- Hours
- Hours vary · Freelance
- Where
- Remote, work from home
- Job type
- Expert (SME) review
- Openings
- 50 openings
At a glance: A freelance, remote expert (SME) review job with micro1. It pays $45–90/hr, with hours that vary. The listing doesn't say which countries can apply.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
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What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 58% of the 204 other science (PhD) jobs on the board that state pay; 40% pay more.
- This job
- $68/hrMiddle of $45–90/hr
- Median on micro1
- $65/hrFrom 287 other paid jobs
- Median in science (PhD)
- $65/hrFrom 204 other paid jobs
Requirements
- Qualifications
- Scientific software configuration
- Ai/ml-assisted chemistry workflows
- Quantitative analysis
- Analytical reasoning
- Scientific programming
- Written communication
- Verbal communication
- Documentation
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
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.
Listing history
- First seen on our board
- (9 days ago)
- Posted by micro1
- (10 days ago)
- Last checked
- Source
- micro1
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