The Bioinformatics scientist will provide support with the development, validation, and implementation of data analysis for various projects including development of tools/databases and research publications.
Job responsibilities:
- Lead the data analysis of various genomics project handling large data
- Integration of in-house and external data sources for interpretation of the data
- Coordination with various research groups at MedGenome
- Development of efficient framework and tools for data analysis
- Development of robust quality control for the data
- Develop, validate and implement latest bioinformatics technologies
- Develop, evaluate, and validate bioinformatics tools to establish correctness of the tool
- Prepare reports, charts, graphs, and presentations as required
- Reporting to Chief Scientist , Location: Bangalore
Qualification
- PhD/Post-doc in a scientific discipline related to the responsibilities of the position (i. e. Bioinformatics, Biology, Computer Science, Informatics). Strong track record of problem solving and publication in peer reviewed journals
Experience
- 2-5 years of experience in the area of genomics and bioinformatics
- Problem solving, multi-tasking and strong development skills
- Proficient in at least one of the programming languages a big must: Python, Perl
- Proficient in R programming and various packages related to bioinformatics
- Knowledge in at least one of the following areas – population genomics, ancestry, GWAS, Imputation, data mining, diagnostics applications, Bayesian applications
- Strong knowledge of NGS data analysis especially DNA-seq analysis including variant calling, annotation and interpretation
- Knowledge of various bioinformatics tools – GATK, Samtools, freebayes, BWA, Bowtie, STAR, Picard, bedtools, Samblaster, VeP, Hail
- Knowledge of working of large databases – gnomAD, ExAC, UKBiobank, TopMed, UCSC, 1000Genome and other databases
- Experience with the development and deployment of the large genomic datasets or equivalent datasets
- Knowledge of statistical methods
- Knowledge of databases – mySQL/ORACLE, noSQL framework like MongoDb
- Knowledge of data and quality metrics of different sequencing platforms – Illumina, Pacbio, Ion Torrent, 10X and various array platforms
