Gen Z Advised to Build Biotech Portfolio on GitHub
Unconventional career advice for Gen Z entering biotech is recommending they build a public portfolio of their work, such as on GitHub. Instead of just relying on a resume, a portfolio can showcase coding projects, data analyses, or even science communication efforts. The strategy is meant to demonstrate initiative and practical skills to potential employers in a rapidly changing field.
The push for public portfolios in biotech is a direct response to the industry's data explosion and the soaring demand for computational skills. By 2035, over 60% of biotech jobs are expected to require coding and data analysis abilities. Employers now frequently look for proficiency in languages like Python and R, along with experience using bioinformatics tools such as BLAST and GATK for analyzing large-scale biological data. A computational biologist or bioinformatician spends most of their day at a computer, often logged into high-performance computing clusters. Their work involves writing and optimizing code to analyze massive datasets from genomics or proteomics experiments, developing new algorithms, and collaborating with wet-lab scientists to interpret the biological meaning of the results. Projects might involve anything from genome assembly to applying machine learning for drug discovery. This "dry lab" work contrasts sharply with patient-facing roles. A genetic counselor, for instance, spends a significant portion of their day in direct communication with patients and their families. Their focus is on collecting medical histories, explaining the risks and benefits of genetic testing, interpreting results, and providing emotional support. The educational pathways for these careers are distinctly different. Top research and leadership roles in computational biology often require a Ph.D., though a Master's degree combined with a strong portfolio is often sufficient for many applied industry jobs. In contrast, genetic counseling requires a specialized Master's degree, while becoming a physician is a lengthy commitment involving medical school (M.D.) and residency. A portfolio on GitHub serves as a bridge, demonstrating practical application of knowledge that a degree alone cannot. For aspiring computational biologists, it can feature analyses of public datasets from sources like the 1000 Genomes Project. For those unsure of their path, building a small coding project can provide a real taste of the data-driven side of life sciences versus the interpersonal, patient-focused track.
