STEM-Expert, STEM-Specialist, STEM-Domain-Expert Jobs

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:

1. Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
2. Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
3. Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
4. Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
5. Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
6. Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
7. 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):

1. Genomics & NGS analysis
2. Transcriptomics & single-cell analysis
3. Proteomics & structural biology
4. Molecular & cell biology
5. Systems biology & biological network analysis
6. Drug discovery & computational pharmacology
7. Biostatistics & machine learning applied to biology

Required Skills and Qualifications:

1. PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
2. Professional written and spoken English (C1 or higher).
3. Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data.
4. Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
5. Strong statistical, quantitative, and analytical reasoning skills.
6. Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
7. Track record of rigorous scientific problem-solving in complex biological domains.

Preferred Qualifications:

1. Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments.
2. Experience with AI/ML-assisted biology workflows or benchmarking.
3. Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.

Originally posted on Himalayas

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:

1. Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
2. Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
3. Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
4. Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
5. Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
6. Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
7. 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):

1. Genomics & NGS analysis
2. Transcriptomics & single-cell analysis
3. Proteomics & structural biology
4. Molecular & cell biology
5. Systems biology & biological network analysis
6. Drug discovery & computational pharmacology
7. Biostatistics & machine learning applied to biology

Required Skills and Qualifications:

1. PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
2. Professional written and spoken English (C1 or higher).
3. Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data.
4. Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
5. Strong statistical, quantitative, and analytical reasoning skills.
6. Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
7. Track record of rigorous scientific problem-solving in complex biological domains.

Preferred Qualifications:

1. Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments.
2. Experience with AI/ML-assisted biology workflows or benchmarking.
3. Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.

Originally posted on Himalayas

STEM Expert

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

We are looking for highly skilled STEM and scientific-domain experts to contribute to an AI training project involving technical problem-solving, scientific reasoning, data analysis, and Python.

The work involves solving, reviewing, and validating challenging problems within your area of expertise. A representative task may require analyzing a scientific or mathematical problem, developing a rigorous solution, using Python to perform calculations or simulations, and evaluating whether an AI-generated answer is technically correct.

This is a very coding heavy role. Candidates but have experience using coding agents in their workflow.

Candidates are not expected to be experts across every STEM discipline. We are looking for deep expertise in at least one of the following areas:

1. Chemistry
2. Biology
3. Mathematics
4. Physics
5. Earth Science / Geoscience / Environmental Science
6. Robotics

Adjacent scientific or quantitative disciplines may also be considered where the candidate's expertise is directly relevant.

What You’ll Work On

1. Solve complex scientific, mathematical, or technical problems within your domain of expertise.
2. Review AI-generated solutions for factual, mathematical, and scientific correctness.
3. Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.

Required Qualifications

1. Strong expertise in at least one relevant STEM or scientific domain.
2. Practical proficiency with Python or other coding languages.
3. Strong scientific, mathematical, or quantitative problem-solving ability.

Relevant Python tools may include NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries. No particular Python library is mandatory.

Expertise may come from academic research, industry, teaching, engineering, independent technical work, or other demonstrated experience. A specific degree or number of years of experience is not strictly required if you can demonstrate strong expertise in your field.

Process

1. Apply to the role and complete the screening questions.
2. Complete an AI interview of approximately 30 minutes.
3. Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

Originally posted on Himalayas