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Bioinformatics – Senior Scientist / Scientist

Job Purpose

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


  • 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


  • 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

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