# Biology & Bioinformatics Research Specialist (MSc/PhD)

**Company:** [Gramian Consulting Group](https://jobs.workable.com/companies/kANY7hHLXDH7fUqyifRLmf.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract
**Department:** Talent Solutions

[Apply for this job](https://jobs.workable.com/view/11dba016-26d9-485a-b524-d52ee2c9a891)

## Description

**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.