Decoding life’s chemistry and turning it into data-driven insight.
Biochemistry & Bioinformatics sits at the intersection of biology, chemistry, and computer-based analysis. Core Subjects (Biochemistry foundation): General & Organic Chemistry Physical Chemistry (basic principles relevant to biomolecules) Cell Biology and Molecular Biology Biochemistry of Proteins, Carbohydrates, Lipids, and Nucleic Acids Enzymology and Metabolism (pathways, regulation, energy) Genetics and Genomics Core Subjects (Bioinformatics / Computational side): Introduction to Programming (often Python, R, or similar) Statistics and Biostatistics Bioinformatics Tools and Databases (sequence analysis, BLAST, etc.) Genomic and Proteomic Data Analysis Structural Bioinformatics (protein structure, modeling) Systems Biology basics (pathways, networks) Supporting Subjects: Research Methods and Experimental Design Laboratory Techniques in Biochemistry and Molecular Biology Ethics in Biomedical and Data-driven Research Tags: Science-heavy • Lab + computer • Detail-critical • High-tech biomedical