Job Description (JD) & Key Result Areas (KRA)
Position : Genesist – Genetic Data Analyst / Report Specialist
Project : RhinoGene Project
Department : Clinical Genomics & Scientific Research
Reporting To : Project Director – RhinoGene / Chief Geneticist
Role Overview
The Genesist will be responsible for interpreting, decoding, and summarizing genetic and RNA expression reports for clients and medical partners under the RhinoGene Project. The role requires a strong foundation in human genetics, molecular biology, and genomics, with the ability to convert complex genetic data into clear, client-friendly insights.
Key Responsibilities
- Analyze and interpret genetic and RNA reports generated by laboratory teams.
- Identify genetic variants, mutations, and correlations with relevant phenotypic or clinical conditions.
- Prepare summary reports that simplify technical data for non-genetic professionals and clients.
- Collaborate with doctors, wellness experts, and functional medicine specialists to integrate genetic insights into personalized health plans.
- Maintain accuracy, confidentiality, and scientific integrity of all reports.
- Stay updated on emerging genetic markers, bioinformatics tools, and relevant databases.
- Work with bioinformatics and diagnostic teams to improve report quality and format.
- Ensure compliance with clinical data handling, ethical, and confidentiality protocols.
- Assist in building and maintaining a genetic variant interpretation database for RhinoGene.
- Participate in internal training sessions and scientific documentation as required.
Key Result Areas (KRA)
Focus Area
Key Metrics / Deliverables
Report Accuracy
≥ 98% accuracy in gene report interpretation and variant classification.
Turnaround Time (TAT)
Reports delivered within defined timelines (e.G., 2–3 working days per case).
Quality of Summarization
Clarity, scientific accuracy, and readability of summarized reports.
Research & Updates
Regular updates from latest literature and variant database improvements.
Collaboration & Communication
Effective coordination with doctors, labs, and bioinformatics teams.
Data Confidentiality
Zero breaches in confidentiality or data integrity.
Continuous Learning
Active participation in scientific discussions and knowledge sessions.
Reporting Efficiency
Timely submission of weekly reports and case logs.
Educational Qualification
Minimum : Bachelor’s degree (B.Sc.) in Genetics, Biotechnology, or Molecular Biology.Preferred : Master’s degree (M.Sc.) in Genetics, Genomics, or Bioinformatics.Experience
0–3 years of experience in genetic data interpretation, diagnostics, or molecular analysis.Fresh graduates with strong conceptual understanding may also be considered after training.Skills & Competencies
Strong understanding of human genetics, gene expression, and variant analysis.Familiarity with genetic databases (ClinVar, dbSNP, HGMD) and genome browsers.Excellent written and verbal communication skills for report summarization.Analytical mindset with attention to scientific detail.Ability to translate complex findings into actionable health insights.Commitment to confidentiality, precision, and ethical data handling.