
Bhavishya User
@bhavishyauser3
I'm building clinical research and proteomics pipelines for kidney transplant biomarker studies.
What I'm looking for
I've executed urinary CKD proteomics workflows at Sir Ganga Ram Hospital, including TCA-acetone and FASP protein extraction, LC-MS/MS sample preparation, and biomarker profiling for kidney allograft research.
I managed clinical data for 120+ kidney transplant recipients under GCP compliance, performed molecular diagnostics, and presented a research poster on urinary protein extraction methodologies at the SGRH Research Day Symposium.
Experience
Work history, roles, and key accomplishments
Research Intern
Sir Ganga Ram Hospital
Jan 2026 - Jul 2026 (6 months)
Executed urinary CKD proteomics pipeline including protein extraction, LC-MS/MS sample prep, and biomarker profiling. Managed clinical database for 120+ kidney transplant recipients and performed molecular diagnostics.
Corporate Credit Advisor
Corporate Credit Advisory Services
Jan 2024 - Jan 2025 (1 year)
Evaluated corporate credit profiles and prepared risk assessment reports for senior management. Managed client portfolios and translated financial data into strategic advice.
Community Coordinator
Magic Bus India Foundation
Jan 2022 - Jan 2024 (2 years)
Coordinated logistics, tracked participant metrics, and maintained stakeholder communications for NGO development programs.
Education
Degrees, certifications, and relevant coursework
Utkal University
Master of Science, Biotechnology
2026 -
Pursuing M.Sc. in Biotechnology in a hybrid mode.
Sir Ganga Ram Hospital
Post Graduate Diploma in Clinical Research, Clinical Research
2025 - 2026
Completed Post Graduate Diploma in Clinical Research with specialization in nephrology and transplant, and was batch topper.
Jamia Millia Islamia
Bachelor of Science (Honours), Biochemistry
2022 - 2025
Grade: 75.3%
Completed B.Sc. (Hons) in Biochemistry with an aggregate of 75.3%.
RPVV Sector 11 Rohini
Class XII (CBSE), Science
Grade: 91.0%
Completed Class XII (CBSE) with PCMB and an aggregate of 91.0%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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