HaystackAnalytics is a pioneering HealthTech company incubated at IIT Bombay, specializing in clinical genomics-based diagnostic solutions. Supported by leading Indian science agencies like DST, BIRAC, and DBT, the company has developed cutting-edge genomic products for infectious disease diagnostics. Their genomics-based TB diagnostic solution was recognized as one of BIRAC’s top innovations and was launched by the Prime Minister of India in 2022.
HaystackAnalytics empowers diagnostic labs and hospitals with accurate, personalized genomic diagnostics, revolutionizing precision medicine in India.
Job Description: Genome Variant Analyst
Key Responsibilities:
- Perform in-depth analysis of genomic variants (SNVs, CNVs, indels, structural variants) from NGS data.
- Interpret variants using ACMG/AMP guidelines and assess clinical significance.
- Collaborate with genetic counselors, clinical geneticists, and lab teams for variant curation and reporting.
- Maintain variant classification databases ensuring data accuracy.
- Stay updated on genomics advancements, tools, and methodologies.
- Contribute to SOP development for variant interpretation.
- Support R&D projects in genetic testing and precision medicine.
Eligibility Criteria:
- Master’s or PhD in Genetics, Molecular Biology, Biotechnology, Bioinformatics, or related fields.
- 0-6 months experience in NGS data analysis & variant interpretation (clinical setting preferred).
- Familiarity with ClinVar, gnomAD, HGMD, Ensembl, and other genomic databases.
- Proficiency in bioinformatics tools & pipelines for genomic analysis.
- Strong grasp of variant classification frameworks (ACMG/AMP).
- Detail-oriented, independent, and collaborative work approach.
- Knowledge of regulatory standards in clinical genomics is a plus.
Why Join HaystackAnalytics?
- Work with IIT Bombay-incubated innovators in genomics diagnostics.
- Contribute to cutting-edge precision medicine solutions.
- Be part of a mission-driven team recognized by the Government of India.
- Opportunities for career growth in clinical genomics & bioinformatics.
How to Apply?
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