Phd Biologist Jobs in Greater Montreal Metropolitan Area
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Greater Montreal Metropolitan Area
PhD Biologist - Genomics Expert
PhD Biologist - Genomics Expert
PhD Biologist and LLM Assessment Specialist
PhD Biologist and LLM Assessment Specialist
PhD Biologist and LLM Evaluation Specialist
PhD Biologist and LLM Evaluation Specialist
Computational Biologist - Fully Remote
Computational Biologist - Fully Remote
Molecular Biologist – Life Sciences
Molecular Biologist – Life Sciences
Molecular Biologist in Life Sciences
Molecular Biologist in Life Sciences
Molecular Life Science Biologist
Molecular Life Science Biologist
Molecular Biologist
Molecular Biologist
Life Sciences Molecular Biologist
Life Sciences Molecular Biologist
Life Science Molecular Biologist
Life Science Molecular Biologist
PhD Engineer – AI Evaluation Specialist
PhD Engineer – AI Evaluation Specialist
Bioinformatics PhD - Data Analysis Expert | Upto $85/hr Hourly
Bioinformatics PhD - Data Analysis Expert | Upto $85/hr Hourly
PhD Physicist – GR Specialist
PhD Physicist – GR Specialist
PhD Engineer Remote
PhD Engineer Remote
PhD Astronomer | Data Analytics Specialist | $80/hr
PhD Astronomer | Data Analytics Specialist | $80/hr
PhD Physicist – Quantum Specialist
PhD Physicist – Quantum Specialist
PhD Physicist – Geophysical Research Specialist
PhD Physicist – Geophysical Research Specialist
PhD Physicist – Geophysics Research Expert
PhD Physicist – Geophysics Research Expert
PhD Astronomer | Data Analytics Specialist | $80/hr
PhD Astronomer | Data Analytics Specialist | $80/hr
Clinical Research Scientist PhD – Chemistry
Clinical Research Scientist PhD – Chemistry
PhD Biologist - Genomics Expert
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: PhD-Level Life Scientist
Type: Contract Compensation: $80–$125/hour Location: Remote Commitment: High touch and high excellence required Role Responsibilities
- Create challenges related to molecular biology, genomics, transcriptomics, epigenetics, and proteomics with scientific accuracy and depth.
- Design experimental challenges, evaluating controls, confounders, reproducibility, and data interpretation.
- Develop high-quality training data, including research-level questions, answers, and evaluation rubrics across domains.
- Provide structured feedback on challenges covering wet-lab protocols, computational analysis pipelines, and study design.
- Apply quantitative and bioinformatics reasoning to calibrate model performance on complex, multi-step biological problems.
Qualifications Must-Have
- PhD (or MD/PhD) in a life-science field such as molecular biology, biochemistry, genetics, bioengineering, or systems biology.
- Currently or recently active in academia - e.g., faculty, staff scientist, research scientist, or postdoc with an active institutional affiliation and ongoing research.
- Hands-on wet-lab experience - must have designed and executed experiments (not purely computational).
- Strong experimental design and scientific reasoning - demonstrated expertise with controls, confounders, reproducibility, and interpretation.
- Bio-focused domain expertise in at least one of the following: Genomics, Transcriptomics, Epigenetics, Proteomics / protein assays / protein biochemistry.
- Evidence of research impact - published peer-reviewed work or influential preprints/tools/datasets with clear contributions (e.g., first/second author papers, senior-author leadership, or widely used methods and resources).
Preferred
- Computational and quantitative skills - experience in computational biology, bioinformatics, statistical genetics, and/or machine learning for omics (analysis, interpretation, and study design support).
- Breadth across molecular modalities: DNA / RNA / protein biology; gene expression and translation.
- Protein assays (e.g., Western blot, ELISA, mass spectrometry-based proteomics).
- Small molecules / chemical biology exposure.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
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