Bioinformatics Analyst
Impact: Scientific Discovery, Healthcare Innovation
Analyze biological data using computational and statistical methods to interpret DNA, protein sequences, gene expression patterns, and other molecular data, supporting research across genetics, biochemistry, and computer science. Develop software and databases to facilitate data storage, analysis, and sharing, contributing to the discovery of new biological insights and therapeutic tools.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- Team-oriented
- Client facing
- Rarely
- Impact visibility
- High
- Travel
- Low
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40
- Stress level
- Moderate
At a glance
- Median salary
- $90,000
- Entry-level
- $65,000
- Senior
- $120,000
- Growth by 2033
- 20%
- Demand
- Growing
- Freelance potential
- Moderate
- Salary growth potential
- High
- Typical student debt
- $30,000 - $70,000
Skills you'll use
Hard skills
- Bioinformatics Software
- Data Analysis
- Programming (Python
- R)
- Statistics
- Genomics
- Proteomics
Soft skills
- Problem-solving
- Critical Thinking
- Communication
- Attention to Detail
- Collaboration
Technical complexity: Very High
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 5
- Years to senior
- 10
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Bioinformatics Analyst
- Senior Bioinformatics Analyst
- Lead Bioinformatics Analyst
- Bioinformatics Scientist/Manager
Future outlook
- Automation probability
- 15%
- AI disruption risk
- Moderate
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 4/10
- Meaning
- 4/10
- Work-life balance
- 3.5/10
- Prestige
- 7.5/10
- Social perception
- High