Research Overview:	Parkinson’s disease is a clinically and biologically heterogeneous neurodegenerative disorder. It is the second most common neurodegenerative disease globally and represents one of the fastest growing neurological disorders in terms of prevalence and disability burden. Emerging evidence suggests that somatic genomic variation and clonal evolution in the brain may contribute to neuronal and synaptic vulnerability. Building on previous work involving whole-genome sequencing and detection of low-frequency somatic variants, this project aims to systematically characterise the genetic landscape and clonal architecture of brain cells in PD in the Indian population using post-mortem brain tissue. In addition, the project also aims to investigate the heterogeneity of blood and brain cell populations using PBMCs and induced pluripotent stem cell (iPSC)-derived brain organoids from PD patients and healthy controls through Single Cell Transcriptomics. We are looking out for a motivated and skilled Research Associate to join an interdisciplinary research project focused on understanding the molecular and cellular mechanisms underlying Parkinson’s disease (PD). The project integrates genomics, single-cell and single-nucleus transcriptomics, stem cell biology, and bioinformatics approaches to investigate somatic genomic variation, clonal evolution, and cellular heterogeneity to better understand the cellular and molecular basis of PD in Indian population. The specialized skills we are seeking in candidates include expertise in single-cell/nucleus sequencing, flow cytometry, single cell sorting, and molecular biology techniques.
1. Key Responsibilities	Experimental and Technical Responsibilities Isolation of nuclei from in vitro cultured cells and fresh frozen post-mortem brain tissue Flow Cytometry and Sorting – proficient in handling flow cytometers such as BD Fortessa and Sorters such as BD FACSAria Proficient in flow cytometry and cell sorting software, such as BD FACSDiva and FlowJo Preparation of samples for single-nucleus sequencing Single-cell isolation using the 10x Genomics Chromium platform Library preparation Conducting molecular biology experiments: Western blotting Immunostaining and confocal imaging DNA/RNA extraction Support sequencing workflows including: Library preparation Quality control Coordination and familiarity with sequencing platforms such as NextSeq and NovaSeq Research and Collaboration Participate in experimental design, data interpretation, and protocol development Maintain accurate laboratory records, documentation, and experimental reports Contribute to preparation of presentations, manuscripts, and scientific communications Collaborate closely with clinicians, bioinformaticians, and interdisciplinary research teams Ensure adherence to laboratory safety, quality assurance, and regulatory standards Eager to learn new techniques and stay updated with emerging technologies in the field Strong team player with excellent collaboration and interpersonal skills
2. Desired Additional Skills	Experience in mammalian cell culture Basic bioinformatics Familiarity with R and/or Python Understanding of basic brain anatomy
3. Eligibility:	PhD candidates with 0–2 years of post-PhD experience, or MSc candidates with 4 years of relevant experience in single-cell transcriptomics, genomics, molecular biology, and flow cytometry PhD holders with more than 2 years of experience will not be considered for this position Candidates with a PhD must have at least two first-author publications, while candidates with a Master’s degree must have at least more than two co-authored publications
5. Letter of Reference:	A letter of reference from your guide/supervisor may be requested during the final round of the interview process.
6. Relevant References:	Bernstein, Nicholas, Michael Spencer Chapman, Kudzai Nyamondo, Zhenghao Chen, Nicholas Williams, Emily Mitchell, Peter J Campbell, Robert L Cohen, and Jyoti Nangalia. 2024. “Analysis of Somatic Mutations in Whole Blood from 200,618 Individuals Identifies Pervasive Positive Selection and Novel Drivers of Clonal Hematopoiesis.” Nature Genetics 56 (6): 1147–55. https://doi.org/10.1038/s41588-024-01755-1. Kapadia, Chiraag D, Nicholas Williams, Kevin J Dawson, Caroline Watson, Matthew J Yousefzadeh, Duy Le, Kudzai Nyamondo, et al. 2025. “Clonal Dynamics and Somatic Evolution of Haematopoiesis in Mouse.” Nature 641 (8063): 681–89. https://doi.org/10.1038/s41586-025-08625-8. Lobon, Irene, Manuel Solís-Moruno, David Juan, Ashraf Muhaisen, Federico Abascal, Paula Esteller-Cucala, Raquel García-Pérez, et al. 2022. “Somatic Mutations Detected in Parkinson Disease Could Affect Genes with a Role in Synaptic and Neuronal Processes.” Frontiers in Aging 3 (April): 851039. https://doi.org/10.3389/fragi.2022.851039. Andrews, Shan V., et al. “The Genetic Drivers of Juvenile, Young, and Early-Onset Parkinson’s Disease in India.” Movement Disorders, vol. 39, no. 2, Feb. 2024, pp. 339–49, doi:10.1002/mds.29676. Bhatia, Divisha, et al. “T-Cell Dysregulation Is Associated with Disease Severity in Parkinson’s Disease.” Journal of Neuroinflammation, vol. 18, no. 1, Oct. 2021, p. 250, doi:10.1186/s12974-021-02296-8.
7. To apply:	Interested candidates should apply to this posting 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.

Research Area	Parkinson’s disease (PD) is a clinically and biologically heterogeneous neurodegenerative disorder affecting the central nervous system. It is currently the second most common neurodegenerative disease globally and has the fastest growing prevalence and disability burden among neurological disorders. Early-Onset Parkinson’s Disease (EOPD), defined as disease onset between 21 and 50 years of age, represents a clinically distinct yet understudied subgroup of PD. Compared with Late-Onset Parkinson’s Disease (LOPD; onset ≥51 years), EOPD patients frequently exhibit more severe non-motor manifestations. Genetic contributions play a major role in EOPD, particularly in familial and juvenile forms. Variants in genes such as PINK1, PRKN, DJ-1, SNCA, and LRRK2 have been implicated. The current project aims to perform comprehensive genomic and epigenomic profiling using technologies such as Whole Genome Sequencing, Whole Exome Sequencing, methylome analysis and long-read sequencing.
1. Key Responsibilities: DNA Extraction and Genomics Workflows	DNA extraction from human tissues and biological samples such as PBMCs and buccal smears DNA/RNA quality assessment and quantification – Experience handling Qubit, Tapestation etc Library preparation for: Whole Genome Sequencing (WGS) Whole Exome Sequencing (WES) Methylome sequencing Long-read sequencing using Oxford Nanopore platforms Sequencing quality control and troubleshooting Independent operation of Illumina NextSeq and NovaSeq sequencing systems Sample tracking, documentation, and laboratory record maintenance
2. Additional Desired Requirements	Familiarity with Automated liquid handling systems such as Firefly Background in data science and running analysis pipelines Alignment and mapping of sequencing reads Variant calling, annotation, and interpretation Polygenic Risk score analysis Analysis of genomic and epigenomic datasets Experience of performing GWAS Basic statistical and computational analyses using Python or R Integration of clinical and genomic datasets for correlation studies
3. Research and Collaboration	Participation in study design, protocol optimisation, and troubleshooting Maintenance of everyday laboratory reports, presentations and manuscripts Collaboration with clinicians, bioinformaticians, and interdisciplinary team members Maintenance of laboratory safety and quality standards Strong team player with excellent collaboration and interpersonal skills Eager to learn new techniques and stay updated with emerging technologies
Educational Qualification and Work Experience	PhD/MSc with more than 4 years experience on Sequencing
Relevant References
4. Letter of Reference	A letter of reference from your guide/supervisor may be requested during the final round of the interview process.
5. 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.

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.

Role	Research Associate – Bioinformatics	No. of positions vacant	01
Career Level	Experienced level
Exp. Required in Years	Min: 1-2 years
Position Type (New/Replacement)	New hiring
Location of posting	Bangalore (India)
Role (Individual / Team)	Neuroscience team
Qualification	B. E, M.Sc., – Bioinformatics	Technical Certification (If any): NA
Research Experience	Experience on analysis of WES, WGS, CNV calling, RNA sequencing, protein docking studies. Exposure to minimal cell and molecular biology skills like PCR and cloning methods. Exposure to or hands on Machine learning is advantage. Training on Scientific writing skills
Relevant Industry/Domain	Bioinformatics and related fields
Responsibilities	All kind of support in direction of SKAN research focus areas and contribute to research and development activities, participate in scientific meetings, develop scientific publications and posters. Maintain lab records and SOPs.
Selection criteria Essential	Basic theoretical and practical knowledge about above mentioned methods
Selection criteria Desirable	Hands-on experience on the above Skills and research publication is advantage
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.

Role	Research Associate	No. of positions vacant	01
Career Level	Experienced level
Exp. Required in Years	Min: 3-4 years
Position Type (New/Replacement)	New hiring
Location of posting	Bangalore (India)
Role (Individual / Team)	Neuroscience team
Qualification	B.E / M.Sc. – Biotechnology, cell and Molecular Biology	Technical Certification (If any): NA
Research Experience	Stem cell culture, Mammalian Cell Culture experience, FACS, ELISA, Confocal microscopy, Nucleic acid isolation and characterization. Development of molecular assay. Training in Scientific writing skills
Relevant Industry/Domain	Neuroscience research and related fields
Responsibilities	All kind of support in direction of SKAN research focus areas and contribute to research and development activities, participate in scientific meetings, develop scientific publications and posters. Maintain lab records and SOPs.
Selection criteria Essential	Basic theoretical and practical knowledge about above mentioned methods – Work experience on Neuroscience and RNA methods is advantage.
Selection criteria Desirable	Hands-on experience on the above Skills and research publication is advantage
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.

Role	Project Scientist	No. of positions vacant	1
Career Level	Post Doctoral
Exp. Required in Years	Min: 2 years
Position Type (New/Replacement)	New hiring
Location of posting	Bangalore (India)
Role (Individual / Team)	Postdoctoral Computational Biologist – Gut Microbiome Metabolic Modeling
Qualification	PhD	Technical Certification (If any): NA
Research Experience	2 years
Relevant Industry/Domain	Computational Biology & statistical modelling
Responsibilities	Position Summary We are seeking a highly motivated postdoctoral computational biologist to lead and support advanced research in gut microbiome metabolic modelling and systems-level interpretation of host–microbe interactions. The candidate will work at the intersection of computational biology, microbial genomics, systems biology, bioinformatics, and translational microbiome science. The role involves developing computational pipelines and metabolic models from shotgun metagenomics, metatranscriptomics, metabolomics, and associated clinical metadata to understand microbial ecosystem function, metabolic exchange, antimicrobial resistance, and disease-associated dysbiosis. The successful candidate will contribute to translational microbiome programs spanning population studies, biomarker discovery, precision nutrition, and therapeutic microbiome interventions. Key Responsibilities Computational & Scientific Responsibilities Develop and implement genome-scale metabolic models (GEMs) Build computational frameworks for microbiome metabolic network reconstruction Perform systems-level analyses: Shotgun metagenomics Meta-transcriptomics Metabolomics Clinical and dietary metadata Design pipelines using HUMAnN, MetaPhlAn, MICOM, COBRApy, CarveMe, AGORA Conduct microbial interaction analysis Develop workflows using Nextflow, Snakemake, WDL Apply statistical and machine learning methods Support multi-omics interpretation AMR profiling integration Data Engineering & Infrastructure Manage large-scale microbiome datasets Optimize workflows Use Git/GitHub/GitLab Implement FAIR data practices Research & Collaboration Collaborate with multidisciplinary teams Contribute to study design Write manuscripts and grants Mentor junior staff Develop SOPs
Selection criteria Essential	Required Qualifications PhD in Computational Biology / Bioinformatics / Systems Biology / Microbiology / Biotechnology / Genomics Experience in microbiome bioinformatics Strong programming skills (Python, R, Matlab, Bash) Linux/HPC experience Metagenomics analysis experience Understanding of microbial ecology and systems biology Experience with large datasets
Selection criteria Desirable	Preferred Qualifications Gut microbiome modelling experience FBA / Constraint modeling Metabolomics integration Cloud (AWS/GCP/Azure) ML applications Docker/Singularity Publication record Desired Competencies Analytical thinking Scientific writing Independent research Collaboration
Interested and eligible candidates may send their updated CV to careers@skanrt.in Only shortlisted candidates will be contacted. Salary will be based on skills and fitment.