Genetics Data Engineer
Bangalore, Karnataka, IN, 560037
INR 1500K-2500K (estimate) Mid-level Full Time
Tasks
- Automate routine genetic analyses and evidence reporting
- Build interactive dashboards and data services
- Build test and execute reproducible analysis pipelines
- Containerize workflows for trusted research environments
- Deploy and version tools containers and reference data in trusted research environments
- Develop agentic AI workflows for genetic evidence generation
- Enable downstream quantitative genetics analysis
- Ensure FAIR data environment implementation
- Ingest and deploy tools reference datasets and genetic data in internal environments
- Ingest and integrate genetic reference databases into knowledge graph
- Link genetic data to AI platforms
- Manage cloud compute budgets and optimize resource usage
- Optimize query performance and pipeline execution
- Perform and automate data quality control for genomic data
- Return results from trusted research environments
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | BGEN | Bcftools | Biobank trusted research environments | DNA Nexus | Data Governance | Data Modeling | Data Privacy | Data Quality | Data quality control | Docker | Exome sequencing | FAIR-Data | GCP | GWAS | GWAS summary statistics | Genome Sequencing | Genomic data | Genomic data privacy | Hail | Infrastructure as Code | LiftOver | Nextflow | PLINK BED BIM FAM | Plink | Python | Quality Control | R | Reproducible pipelines | Research environments | S3 | SNP Arrays | Samtools | Singularity | Snakemake | Spark | Summary Statistics | Trusted Research Environments | VCF | Version control | WDL | Whole-exome sequencing | Whole-genome sequencing | “as-code”
Education
Roles
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