Post Doctoral Fellow | BRIC-inStem Recruitment | Biology Candidates Apply Now
Looking for prestigious Post Doctoral Fellow opportunities in systems biology, metabolomics, and computational life sciences? BRIC-inStem has announced a new inStem Recruitment notification for highly skilled researchers in biological sciences and computational sciences. This exciting fellowship is ideal for candidates aiming to build a strong Life Sciences Research career in metabolic engineering, quantitative proteomics, metabolomics, synthetic biology, and computational biology.
About the Institute
Institute for Stem Cell Science and Regenerative Medicine (BRIC-inStem) is an autonomous research institute under the Department of Biotechnology, Ministry of Science & Technology, Government of India. The institute focuses on cutting-edge research in stem cell biology, regenerative medicine, systems biology, disease biology, and interdisciplinary translational science. BRIC-inStem is recognized for fostering collaborative research programs integrating biology, engineering, and computational sciences.
Advertisement Number: inStem/Temp/16/2026
- Position Title: Postdoctoral Fellow
- Emoluments: Postdoctoral Fellow under India Alliance Senior Fellowship to Dr. Sunil Laxman
- No. of Posts & Age Limit: 1 post (no age limit)
Job Description
The project involves systems biology to develop new cell factory chassis strains. The postdoc will focus on large-scale metabolic engineering and adaptive selection, designing and building controllable expression systems to study metabolic organizations and manipulate resource allocations in fungal cell factories. Required expertise and publications are essential.
Qualification & Experience
- PhD in biological sciences, or computational sciences
- Hands-on expertise in mass spectrometry for metabolomics, metabolic flux, and quantitative proteomics
- Proficiency with Analyst, Multiquant, or Skyline and familiarity with AB Sciex Q-TOF and Q-TRAP/triple quadrupole mass spectrometer systems
- Experience in building/using genome-scale metabolic models, including flux-constrained models
- Expertise in working with yeast model systems and long-term adaptive evolution for metabolic selection
- Computational skills, including basic programming capabilities and working with R
Tenure
Contractual appointment for 11 months, renewable based on progress and grant requirement.
How to Apply?
- Only online applications will be accepted. Applications received through any other mode will be automatically rejected.
- Interested candidates should visit the BRIC-inStem Website’s Careers section under Open position. Applicants need to submit a single PDF containing:
- 2-page Curriculum Vitae with current contact details
- 1-page Motivation letter explaining past experiences, career goals, and motivation to join the laboratory (include advertisement number)
- Contact information of at least two referees
- Application Fee: Nil
Last Date to Apply: 20.05.2026
General Conditions
- Incomplete applications will be rejected without correspondence.
- Candidates must ensure they meet the eligibility criteria as stipulated.
- Eligibility will be determined with reference to the closing date of receipt of applications.
- Candidates are advised to keep a printout of the application form.
- The engagement is purely on a contract basis and is dependent on the Institute’s requirement.
- This is a temporary appointment, offering no claim for permanency or regularization against any future vacancy.
- No service benefits such as PF, Pension, or Gratuity are applicable.
- Contract may be withdrawn if rules and regulations are not adhered to.
- Women candidates meeting the eligibility criteria are encouraged to apply.
Researchers looking for globally competitive Post Doctoral Fellow opportunities in systems biology and metabolic engineering should strongly consider this inStem Recruitment opening. The fellowship provides valuable exposure to advanced metabolomics, proteomics, computational biology, and synthetic biology research in a multidisciplinary environment. Candidates aiming to elevate their Life Sciences Research career through translational and computational biology projects can greatly benefit from this opportunity.
