Biology & Bioinformatics Research Specialist (MSc/PhD)

Gramian Consulting

États-Unis

À distance

CAD 96 000 - 152 000

Temps partiel

Il y a 7 heures
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Résumé du poste

Gramian Consultancy is seeking experienced Biology, Bioinformatics, and Computational Biology Specialists for an AI benchmarking project. Remote collaboration across multiple regions, with a focus on rigorous analysis and reproducible results.

Ideal candidates hold a Master’s or PhD and have deep expertise in at least one biological specialty, plus hands-on experience with real datasets and Python/R proficiency. English at C1 level is required.

Qualifications

  • Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or related STEM.
  • Deep expertise in at least one biological or computational specialization.
  • Hands-on experience analyzing real biological datasets.
  • Proficiency in Python and/or R.
  • Professional English at C1 level or higher.
  • Strong statistical, quantitative, and analytical reasoning skills.

Responsabilités

  • Design, evaluate, and critique biology workflows for AI benchmarking initiatives.
  • Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
  • Assess and optimize computational pipeline parameters, software configurations, and statistical methods.
  • Analyze biological datasets, including NGS, RNA sequencing, and single-cell datasets.
  • Evaluate scientific methodologies and AI-generated analyses for accuracy and reproducibility.
  • Identify analytical errors and opportunities for improving computational workflows.
  • Contribute domain expertise to development and validation of biology-related AI models and tools.
  • Document findings, methodologies, and best practices to support knowledge transfer.
  • Communicate complex scientific concepts clearly to technical and non-technical collaborators.

Connaissances

Python
R
Bioinformatics
Genomics
Data analysis

Formation

Master's degree
PhD

Outils

NGS analysis tools
Single-cell analysis tools

Description du poste

About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About The Role

We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning.

We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply.

Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome.

CONTRACT:

Contractor

LOCATION:

Remote - US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC.

EDUCATION:

Master's or PhD preferred; equivalent relevant experience considered.

ENGLISH:

C1 minimum.

PROJECT:

AI training and benchmarking in biology and bioinformatics.

AI EXPERIENCE:

Not required.

Key Responsibilities
  • Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives
  • Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines
  • Assess and optimize computational pipeline parameters, software configurations, and statistical methods
  • Analyze biological datasets, including:
    • Next-Generation Sequencing (NGS) data
    • RNA sequencing and single-cell datasets
    • Genomic variants and variant calling results
    • Protein structures and proteomics data
    • Molecular and cellular biology datasets
  • Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility
  • Identify analytical errors, methodological limitations, and opportunities for improving computational workflows
  • Contribute domain expertise to the development and validation of biology-related AI models and tools
  • Document findings, methodologies, and best practices to support knowledge transfer
  • Communicate complex scientific concepts clearly to technical and non-technical collaborators
Requirements
  • Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline
  • Equivalent professional industry or research experience may also be considered
  • Deep expertise in at least one relevant biological or computational specialization
  • Hands-on experience analyzing real biological datasets
  • PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged
  • Proficiency in Python and/or R
  • Experience with relevant scientific tools, depending on specialization
  • Professional written and spoken English proficiency at C1 level or higher
  • Strong statistical, quantitative, and analytical reasoning skills
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