Computational Biology & Bioinformatics Expert (PhD)

Micro1; India; Remote; INR 7,761,000 - 15,522,000; Part time

Job summary

Cashback24x7 seeks a Computational Biology & Bioinformatics Expert (PhD) for a remote contractor role. You will apply genomics expertise to train AI systems, shaping data inputs and model understanding across high-quality real-world datasets.

You will design workflows for benchmarking, analyze NGS/RNA-seq data, optimize tool configurations, and document methodologies for seamless knowledge transfer to the customer’s team. Proficiency in English (C1+) is required.

Qualifications

• PhD or equivalent in bioinformatics/genomics/computational biology (or related field).
• English proficiency, written and spoken (C1 or higher).
• Hands-on experience analyzing biological data (NGS, RNA-seq, variant analysis).
• Proficiency in Python and/or R for scientific analysis; familiarity with standard tools.
• Experience building reproducible workflows (Nextflow/Snakemake); Linux/CLI comfort.
• Strong statistical, quantitative reasoning and problem-solving abilities.
• Outstanding written and verbal communication to document concepts clearly.

Responsibilities

• Design, evaluate, and critique bioinformatics workflows for AI benchmarking.
• Provide expert insights on genomic, transcriptomic, and proteomic analyses.
• Optimize pipeline parameters and tool configurations for accuracy and reproducibility.
• Analyze datasets (NGS, RNA-seq, variant calling, protein data) and provide actionable recommendations.
• Guide development and validation of biology-related AI models and tools.
• Communicate complex concepts to technical and non-technical collaborators.
• Document findings, methodologies, and best practices for knowledge transfer.

Skills

Python

R

Analytical thinking

Scientific writing

Education

PhD in bioinformatics/computational biology/genomics or related field

Tools

BLAST

samtools

GATK

Bioconductor

Biopython

Nextflow

Snakemake

Job description

Job Title: Computational Biology & Bioinformatics Expert (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 bioinformatics and computational biology workflows to support AI benchmarking initiatives.
• Provide expert-level insights on genomic, transcriptomic, and proteomic 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, 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.

Required Skills and Qualifications

• PhD in bioinformatics, computational biology, genomics, or a closely related field, or equivalent industry/research experience.
• Professional written and spoken English (C1 or higher).
• Hands-on experience analyzing biological data (e.g., NGS, RNA-seq, variant analysis).
• Proficiency in Python and/or R for scientific analysis, plus experience with standard bioinformatics tools (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
• Experience building reproducible workflows with tools such as Nextflow or Snakemake, and comfort working in Linux/command-line environments.
• 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 with AI/ML-assisted biology workflows or benchmarking.
• Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
• Background in single-cell analysis, structural biology, proteomics, or drug discovery.prediction/retrosynthesis.