MSc Biotech & Life Science Job – at ACTREC, Mumbai
ACTREC is conducting a walk-in interview for the Project Technical Support-III role under the ICMR-funded RADICAL project aimed at developing AI-driven nanopore diagnostics for childhood leukemia. This six-month extendable position offers hands-on wet lab experience in sample processing and Nanopore library preparation using PromethION and MinION platforms—ideal for candidates with an M.Sc. in biotechnology or life sciences.
About the Institution:
ACTREC (Advanced Centre for Treatment, Research and Education in Cancer) is an innovative research institute dedicated to groundbreaking cancer research and treatment. As a part of our mission to advance medical capabilities, we are looking for a qualified individual to join our team as a Project Technical Support-III for the “Rapid and Affordable Diagnostics for stratifying Childhood Acute Lymphoblastic Leukemia (RADICAL)” project.
Position: Project Technical Support-III
Job Description for MSc Biotech & Life Science Job:
We are seeking a skilled individual to support the “RADICAL” project, which is a prospective four-year ICMR funded study focused on developing long-read nanopore sequencing diagnostics for acute leukemia. The role involves fusion detection, low-pass whole genome sequencing, and methylation-based classifiers using artificial intelligence/machine learning in a wet lab setting.
Qualifications:
- Education: M.Sc. in relevant biotechnology or Life Science field with at least 1 year of experience
- Age Limit: Up to 35 years
- Salary: Rs. 36,400/- per month (consolidated)
- Duration: Six months, extendable Job role
Interview Details:
Date: Wednesday, 23rd July, 2025
Time: 10:00 am to 10:20 am
Location: Meeting Room II, 3rd Floor, Khanolkar Shodhika, ACTREC, Kharghar, Navi Mumbai – 410210
How to Apply:
Eligible candidates are required to attend the walk-in interview with a recent CV, passport size photograph, original and xerox copies of all certificates, and Aadhaar Card for ID proof.
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Keywords: ACTREC job opening, Project Technical Support-III, Cancer research, Nanopore sequencing, Wetlab Sample Processing, Machine learning
