Research Assistant –Stem Cells and Proteomics

Research Overview Pathologically, PD is characterized by the degeneration of dopaminergic neurons in the substantia nigra pars compacta and the accumulation of alpha-synuclein in Lewy bodies. This neuronal loss may arise from intrinsic neuronal dysfunction and/or altered glial cell function. Understanding these early cellular and molecular events is essential for identifying key drivers of neurodegeneration.
A major challenge in studying these mechanisms is the limited availability of robust human model systems that accurately capture early disease processes and cell-type-specific contributions. Patient-derived induced pluripotent stem cell (iPSC) technology now enables modelling of neuronal and glial dysfunction using 2D monocultures, as well as neuron–glia interactions through advanced 3D organoid systems. In addition, CRISPR/Cas-based genome editing approaches are being used to investigate the functional impact of PD-associated mutations by introducing disease-causing variants into control iPSC lines and generating isogenic controls through gene correction in patient-derived iPSC lines. The project will involve collaborative proteomics studies to uncover molecular mechanisms underlying neuron-glia crosstalk in PD.
We are seeking a motivated and skilled Research Assistant with experience in Reprogramming technology, iPSC culture and differentiation techniques. The candidate will also be responsible for coordinating with proteomics collaborators and contributing to the analysis and interpretation of proteomics datasets to identify disease relevant molecular pathways.
Mandatory Requirements
  • Experience in reprogramming PBMCs to generate iPSCs
  • Hands-on experience in culturing, passaging, freezing, and thawing iPSC/ESC lines
  • Experience in media preparation for iPSC-based differentiation protocols specially neuronal and glial differentiation
  • Experience in transfection techniques such as Electroporation, nucleofection, Lipofection
  • Ability to collaborate with proteomics researchers and assist in proteomics data analysis. Prior experience with handling mass spectrometry dataset will be valued for this position
  • Familiarity with molecular biology techniques such as PCR, cloning and western blotting, DNA/RNA extraction from cells and tissues and Quantification, Real time PCR, ELISA, protein estimation related assays
  • Ability to maintain laboratory records and experimental documentation
  • Strong organizational and communication skills with the ability to work collaboratively in a multidisciplinary research environment
  • Eager to learn new techniques and stay updated with emerging technologies in the field
  • Strong team player with excellent collaboration and interpersonal skills
  • Basic understanding of neurobiology
Desired Additional Skills
  • Experience with CRISPR/Cas-based gene editing
  • Experience in Microscopy and Flow Cytometry
Regular Responsibilities
  • Maintenance of laboratory records
  • Experimental documentation and data organization
Eligibility
  • Master’s degree holders with relevant research experience or fresh PhD graduates are eligible to apply
  • Candidates who have submitted their PhD thesis but are awaiting the award of their degree may also apply
  • Candidates with more than 2 years of post-PhD experience will not be considered
  • Candidates with a PhD must have at least two first-author publications, while candidates with a Master’s degree must have at least two co-authored publications
Letter of Reference A letter of reference from your guide/supervisor may be requested during the final round of the interview process.
To Apply Interested candidates should apply with a CV detailing work experience, technical skills and publications within 31st June 2026.

Interested and eligible candidates may send their updated CV to careers@skanrt.in.
Only shortlisted candidates will be contacted for the interview.
Please note that Annual Salary (CTC) will be commensurate with available skills and fitment of the incumbent as per the selection process.