Senior Bioinformatics Scientist

LABDOX Pvt Ltd.; India; On-site; INR 1,674,000 - 2,567,000; Part time

Job summary

Labdox Pvt Ltd is seeking a Senior Bioinformatics Scientist for a part-time contract engagement in India. The role focuses on human genetics, genomics, and rare-disease research, with emphasis on phenotype analysis and computational biology.

You will independently review computational biomedical research, guide a team, and ensure scientifically defensible conclusions, working toward milestones over roughly 2–3 months. The position requires strong judgement and clear written recommendations.

Qualifications

• Master’s or PhD in Bioinformatics, Computational Biology, Genomics, Human Genetics, Biomedical Informatics or a closely related discipline.
• Strong experience in computational genomics or bioinformatics research.
• Good understanding of human genetics and gene–disease relationships.
• Experience working with genomic, phenotype or biomedical datasets.
• Strong scientific research and analytical skills.
• Ability to critically review research methodology and interpretation.
• Familiarity with Python and/or R.
• Understanding of statistics used in biomedical research.
• Ability to explain complex scientific concepts clearly.
• Strong written and verbal communication skills.

Responsibilities

• Review computational genomics and bioinformatics research methodology.
• Evaluate experimental design, controls, assumptions, reproducibility and scientific interpretation.
• Review phenotype-driven gene prioritisation approaches.
• Provide guidance on Human Phenotype Ontology (HPO), phenotype–gene relationships and rare-disease genetics.
• Review bioinformatics datasets, analysis outputs and scientific evidence.
• Assess whether conclusions are adequately supported by the underlying data.
• Identify methodological weaknesses, confounders or possible overinterpretation.
• Review statistical and sensitivity analyses in collaboration with technical/statistics resources where required.
• Review scientific figures, result summaries and research communication for accuracy.
• Guide junior bioinformatics/research resources when required.
• Support scientific literature review and interpretation of relevant prior research.
• Participate in periodic scientific review meetings and milestone discussions.
• Help maintain high standards of reproducibility, documentation and scientific integrity.

Skills

Critical thinking

Communication skills

Analytical skills

Mentoring

Education

Master’s or PhD in Bioinformatics, Computational Biology, Genomics, Human Genetics, Biomedical Informatics

Tools

Python

R

Statistics

Job description

Labdox is a learning-focused organization that empowers individuals to build skills in engineering, technology, entrepreneurship, and management. The platform encourages learners to dive deeply into technical domains, innovate, and apply knowledge to real-world challenges. Labdox supports aspiring founders and leaders in developing the mindset and capabilities needed to launch and grow impactful ventures. By combining practical learning with mentorship and community, Labdox aims to help learners lead and shape the future across diverse industries.

Company Description

Labdox is a learning-focused organization that empowers individuals to build skills in engineering, technology, entrepreneurship, and management. The platform encourages learners to dive deeply into technical domains, innovate, and apply knowledge to real-world challenges. Labdox supports aspiring founders and leaders in developing the mindset and capabilities needed to launch and grow impactful ventures. By combining practical learning with mentorship and community, Labdox aims to help learners lead and shape the future across diverse industries.

Role Overview

We are looking for an experienced Senior Bioinformatics Scientist with a strong background in human genetics, genomics, rare-disease research, phenotype analysis, and computational biology.

The person should be able to independently review computational biomedical research, evaluate methodology and scientific interpretation, identify limitations, and guide a research team toward scientifically defensible conclusions.

The role requires strong scientific judgement in addition to technical bioinformatics expertise.

Key Responsibilities

• Review computational genomics and bioinformatics research methodology.
• Evaluate experimental design, controls, assumptions, reproducibility and scientific interpretation.
• Review phenotype-driven gene prioritisation approaches.
• Provide guidance on Human Phenotype Ontology (HPO), phenotype–gene relationships and rare-disease genetics.
• Review bioinformatics datasets, analysis outputs and scientific evidence.
• Assess whether conclusions are adequately supported by the underlying data.
• Identify methodological weaknesses, confounders or possible overinterpretation.
• Review statistical and sensitivity analyses in collaboration with technical/statistics resources where required.
• Review scientific figures, result summaries and research communication for accuracy.
• Guide junior bioinformatics/research resources when required.
• Support scientific literature review and interpretation of relevant prior research.
• Participate in periodic scientific review meetings and milestone discussions.
• Help maintain high standards of reproducibility, documentation and scientific integrity.
  

Required Qualifications

• Master’s or PhD in Bioinformatics, Computational Biology, Genomics, Human Genetics, Biomedical Informatics or a closely related discipline.
• Strong experience in computational genomics or bioinformatics research.
• Good understanding of human genetics and gene–disease relationships.
• Experience working with genomic, phenotype or biomedical datasets.
• Strong scientific research and analytical skills.
• Ability to critically review research methodology and interpretation.
• Familiarity with Python and/or R.
• Understanding of statistics used in biomedical research.
• Ability to explain complex scientific concepts clearly.
• Strong written and verbal communication skills.
  

Highly Preferred

• Experience in rare-disease genomics or clinical genomics.
• Experience with Human Phenotype Ontology (HPO) or phenotype-based analysis.
• Experience with phenotype-to-gene prioritisation or gene–disease databases.
• Familiarity with semantic-similarity approaches.
• Experience reviewing research publications or manuscripts.
• Previous mentoring, scientific advisory or research-supervision experience.
• Knowledge of reproducible computational-research practices, Git/versioning and documented analytical pipelines.
  

Engagement Expectations

This is a part-time contract engagement, not a full-time role.

The initial engagement is expected to run for approximately 2–3 months, with involvement concentrated around scientific-review milestones, research discussions and final interpretation.

The selected person should be comfortable working independently and providing clear written recommendations after each review milestone.