Location
Noida, Uttar Pradesh
Work Mode
In Office
Duration
6 months
Stipend
₹25,000/mo
Start Date
Immediate / Rolling
Openings
4 positions
Type
Full-time
Category
Data Science
About the Internship
Join Thermo Fisher Scientific India in Noida as a Healthcare Data Science Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on data science in healthcare work.
About the role
As a Healthcare Data Science…
About Thermo Fisher Scientific India
Thermo Fisher Scientific India offers a mentor-led Healthcare Data Science Intern in Noida with live project work in data science, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Thermo Fisher Scientific Indiainternships →Noida, Uttar PradeshVerified employer4 openings
Apply to Thermo Fisher Scientific India →Skills Required
PythonStatistical AnalysisSQLClinical & Claims DataSurvival AnalysisHealthcare Data PrivacyModel ValidationData VisualisationEpidemiology BasicsClinical Collaboration
Who Can Apply
- Final-year students and recent graduates from B.Sc/M.Sc (Statistics / Life Sciences), B.E./B.Tech (Biomedical/CSE), B.Pharm, MBBS or MHA who are based in or willing to work from Noida. You should be keen to learn Python, Statistical Analysis, SQL on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Team-fit / behavioural interview with the team
- 3Online aptitude / domain assessment
- 4HR discussion — stipend, start date, expectations and offer
₹25,000/month
Stipend · 6 months
Openings4 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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