Technical Skills
A diverse scientific toolkit encompassing wet-lab experimentation, bioinformatics pipelines, and AI-driven modeling.
I. Molecular Biology & Laboratory Techniques
DNA/RNA Extraction (Blood & Tissue samples)
PCR & Real-time qPCR
ELISA & Western Blotting
Semen Analysis & Evaluation
Tissue Processing & Embedding
Protocol Optimization & Quality Control
II. Genomics & Bioinformatics
Whole-Exome Sequencing (WES) Data Analysis
Variant Annotation & Prioritization
SNP Analysis & Genotype-Phenotype Correlation
Phylogenetic Analysis
Use of Biological Databases (NCBI, Ensembl, ClinVar)
III. Computational Biology & AI
Molecular Docking & Virtual Screening
Protein-Ligand Interaction Analysis
Structure-based Drug Design
Application of Machine Learning-based Prediction Models
Explainable AI (XAI) approaches in Biomedicine
IV. Software & Programming
PyMOL, Chimera, AutoDock, MOE
GROMACS (Molecular Dynamics)
Python, R, BioPython
SPSS, Linux, Microsoft Office
Research & Analytical Skills
- Experimental design and data interpretation.
- Integration of wet-lab and computational results.
- Critical analysis of scientific literature.
- Manuscript preparation and revision.
- Interdisciplinary collaboration.