Data Science Post-Doc @ IBSE, IIT Madras
GARBH-Ini is one of the five “Atal Jai Anusandhan Biotech Missions – UNaTI” launched by the Government of India. It’s a project in collaboration with our clinical partner, the Translational Health Science and Technology Institute (THSTI). GARBH-Ini project study multidimensional correlates of preterm birth in India analysing a hospital-based observational pregnancy cohort. We are building regression and machine learning models using anthropometric, clinical and obstetric characteristics of the mothers to estimate gestational age and predict preterm birth. These models, when validated and deployed will be instrumental reducing maternal and child mortality in India.
Eligibility
- Candidates must have completed their Ph.D. in Data Science/related fields
- Candidates must have demonstrated academic excellence
- Expertise in biostatistics and machine learning
- Strong communication, data presentation, and visualization skills
- Ability to work both independently and collaboratively
- Desirable, at least two years of experience working with clinical data analysis
Shortlisting criteria
- Academic pedigree, performance
- Ph.D. research area and list of publications, if any
- Proficiency in programming (high-level languages, preferably Python/R)
- Experience in clinical data analysis and Contribution to open-source projects will be a plus
Benefits
- Work in a highly interdisciplinary environment, with eminent faculty in Systems Biology and Data Science
- Monthly emolument of ₹45,000 (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 a national conference every year
- Partial support to travel to one international conference in two years
- Regular colloquia by international experts and workshops
Application
- Apply to ibse.projects@gmail.com with the following details:
- Latest CV describing your academic record with publications list, list of programming languages known, level of proficiency, and certification if any (attach a single PDF or link to Dropbox/Google Drive/OneDrive)
- A research proposal related to clinical data analysis (500-750 words)
- Deadline for application: Rolling; applicants will be screened and invited for interviews/presentations on a regular basis