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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

  1. You leave AI Trainer HQ and go to micro1’s own site.
  2. Pick a role, apply and answer the screening questions attached to it
  3. Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
  4. Complete a technical assessment if the role has one, then a hiring-manager review
  5. 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
How we compare pay

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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