Data Analyst @ IBSE, IIT Madras

The Initiative for Biological Systems Engineering (IBSE) at IIT Madras is seeking to hire a Data Analyst to join the GenomeIndia Project. GenomeIndia project is a multi-institutional project started in India funded by the Department of Biotechnology, Government of India. The project aims at performing whole-genome sequencing (WGS) of at least 10,000 individuals representing the Indian population in order to create a detailed catalog of genetic variations. We are a data science partner in this project. Our objective is to apply Machine Learning and AI for genome analysis, annotation, and reference genome development.


  • Candidates must have completed their Bachelor’s degree in Bioinformatics/related fields
  • Candidates must have demonstrated academic excellence throughout their undergraduate
  • At least one year of experience working with whole-genome sequencing data analysis
  • Experience in biostatistics and machine learning
  • Strong communication, data presentation, and visualization skills
  • Ability to work both independently and collaboratively

Shortlisting criteria

  • Academic pedigree, performance in Bachelor’s degree
  • Experience with data generated by whole-genome sequencing, statistical principles, and machine learning.
  • Proficiency in programming (high-level languages, preferably Python/R)
  • Contribution to open-source projects will be a plus


  • Work in a highly interdisciplinary environment, with eminent faculty in Systems Biology and Data Science
  • Monthly emoluments starting at ₹30,000 (consolidated)
  • The position would be for 2 years after a 3-month probationary period
  • Access to state-of-the-art high-performance CPU/GPU computing infrastructure
  • Travel to one national conference every year and partial support to travel to one international conference in two years, up to a max. of ₹1,50,000
  • Regular colloquia by international experts and workshops


  • Apply to with the following details:
    • Latest CV describing your academic record, list of programming languages known, level of proficiency, and certification if any (attach a single PDF or link to Dropbox/Google Drive/OneDrive)
    • Cover letter
  • Deadline for application: 15 November 2020
  • Shortlisted candidates will be interviewed before 10 December 2020