THSTI Junior Data Scientist Recruitment 2026

THSTI Junior Data Scientist Recruitment 2026: Overview

BRIC-Translational Health Science and Technology Institute (THSTI) is hiring a Junior Data Scientist for a project at its Clinical Development Services Agency (CDSA) in Faridabad. Led by Dr. Nitya Wadhwa, the study examines how extreme heat affects maternal, placental and fetal physiology, lactation and newborn health in India. This is a short-term project engagement within the institute’s clinical research work.

CDSA supports the development of affordable health products and clinical research led by public agencies. The centre works with public institutions and small and medium enterprises to help turn research into medical products. Your project sits within this wider effort to connect research with public health needs.

Service Conditions and Caveats

• Project tenure: Any extension depends on your performance and the remaining project tenure. The appointment gives you no claim to regular employment at THSTI.
• Changes in requirements: The institute may change the advertised staffing requirement based on its needs when the walk-in takes place.
• Updates: Results and further notices will appear on the THSTI website. The institute will communicate with you by email, so keep checking both sources.
• Conduct: Canvassing or giving incorrect information can disqualify you. Matters not covered in this notice follow THSTI rules and applicable government guidelines.

Application Submission Notes

The walk-in venue is THSTI, NCR Biotech Science Cluster, 3rd Milestone, Faridabad-Gurugram Expressway, Faridabad 121001. You must report at 9:00 am; the institute will not admit candidates who arrive after the stated reporting slot.

At reception, you must deposit your mobile phone together with valid identity proof. THSTI will return these only after the complete selection process ends, so plan your visit around this arrangement.

• Prepare research datasets, exploratory analyses and figures and tables for manuscripts.
• Clean and combine data from different sources while checking consistency.
• Document data cleaning, merging and variable creation.
• Apply statistical and machine learning methods to longitudinal data.
• Complete data validation and quality checks within project timelines.
• Use server environments and Git to track code and collaborate.