One of the first steps of job searching is knowing what roles you’re searching for! The job you end up with could be one that you’ve never even heard of before… how exciting!
I’m going to cast a spotlight on a growing career: bioinformatics! It’s the perfect blend of biology and data science!
Bioinformatics: Bioinformatics, in the context of genetics and genomics, is a scientific field that leverages computer technology to gather, store, analyze, and share biological data, such as DNA and protein sequences, as well as annotations related to these sequences. Researchers and healthcare professionals use databases that catalog and structure this information to advance our understanding of health and disease and sometimes apply it in medical care.
Example Job Titles:
- Bioinformatics Analyst
- Computational Biologist
- Genomic Data Scientist
Educational Background: Pursue a bachelor’s degree in bioinformatics, biology, computer science, computational biology, or a related field. A master’s or Ph.D. in bioinformatics, computational biology, or genomics isn’t always needed but can support employment.
Skills to Develop:
- Python
- R
- Next-Generation Sequencing (NGS) Analysis
- Machine Learning in Genomics
Industry Growth:
- Bioinformatics job postings increased by 60% from 2020 to 2021 (Indeed)
- Over the next 10 years, employment demand is expected to change by +9.06% for Bioinformatics Scientists
Core Tasks:
- Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- Develop new software applications or customize existing applications to meet specific scientific project needs.
Be sure to make an appointment HERE with the Fleishman Center to help with your job search. Drop-in hours are also available from Monday-Friday 12-4 p.m. in UU 133.
Information gathered from O*Net, LinkedIn, and Labor Market Insights
