Salary for Senior-level / Expert Bioinformatics Scientist in United States during 2024

Salary details

The average senior-level / expert Bioinformatics Scientist salary lies between USD 126,800 and USD 190,200 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 2024

Top 20 Job Tags for Senior-level / Expert Bioinformatics Scientist roles

The three most common job tag items assiciated with senior-level / expert Bioinformatics Scientist job listings are Bioinformatics, Python and Statistics. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Bioinformatics | 29 jobs Python | 27 jobs Statistics | 26 jobs Research | 24 jobs Machine Learning | 23 jobs Data analysis | 23 jobs Computer Science | 23 jobs PhD | 21 jobs Biology | 18 jobs Testing | 16 jobs R | 14 jobs Pipelines | 9 jobs Linux | 8 jobs Java | 8 jobs Engineering | 7 jobs Generative AI | 7 jobs Deep Learning | 5 jobs AWS | 5 jobs ML models | 5 jobs Statistical modeling | 5 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Bioinformatics Scientist roles

The three most common job benefits and perks assiciated with senior-level / expert Bioinformatics Scientist job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 26 jobs Health care | 25 jobs Equity / stock options | 16 jobs Salary bonus | 14 jobs Competitive pay | 13 jobs Medical leave | 9 jobs Fertility benefits | 8 jobs Flex hours | 7 jobs Flex vacation | 6 jobs Insurance | 4 jobs Gear | 3 jobs Startup environment | 3 jobs Parental leave | 2 jobs Transparency | 2 jobs Relocation support | 2 jobs Wellness | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Bioinformatics Scientist in AI/ML/Data Science typically includes a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies or startups. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can significantly increase the total compensation, especially if the company performs well. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market.

Increasing Salary Further

To increase your salary further from this position, consider the following strategies:

• Specialization: Develop expertise in a niche area within bioinformatics or AI/ML that is in high demand but has a limited supply of experts.
• Leadership Roles: Transition into leadership or managerial roles, such as leading a data science team or heading a bioinformatics department.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML and bioinformatics. This could involve taking advanced courses or attending workshops and conferences.
• Networking: Build a strong professional network within the industry. This can lead to opportunities in higher-paying roles or companies.
• Consulting: Consider offering consulting services on the side, which can be lucrative and provide additional income streams.

Educational Requirements

For a Senior-level or Expert Bioinformatics Scientist role, a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field is often preferred. However, a Master's degree with significant experience and a strong portfolio of work can also be sufficient. The educational background should include a solid foundation in both biological sciences and computational methods, with coursework in statistics, machine learning, and data analysis.

Helpful Certifications

While not always required, certain certifications can enhance your profile and demonstrate your commitment to professional development. Some valuable certifications include:

• Certified Data Scientist (CDS)
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate
• SAS Certified Data Scientist
• Coursera or edX certifications in AI/ML or bioinformatics

These certifications can provide a competitive edge and showcase your expertise in specific tools and technologies.

Required Experience

Typically, a Senior-level or Expert Bioinformatics Scientist is expected to have at least 5-10 years of experience in the field. This experience should include hands-on work with bioinformatics tools and technologies, as well as a proven track record of successful projects in AI/ML applications within bioinformatics. Experience in leading projects or teams, publishing research, and collaborating across interdisciplinary teams is also highly valued.

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