Salary for Senior-level / Expert Computational Biologist in United States during 2024

Salary details

The average senior-level / expert Computational Biologist salary lies between USD 109,300 and USD 174,800 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 Computational Biologist roles

The three most common job tag items assiciated with senior-level / expert Computational Biologist job listings are Python, Biology and Research. 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:

Python | 42 jobs Biology | 42 jobs Research | 40 jobs R | 38 jobs Bioinformatics | 38 jobs Machine Learning | 36 jobs PhD | 34 jobs Statistics | 29 jobs Data analysis | 27 jobs Drug discovery | 25 jobs Computer Science | 19 jobs Pharma | 15 jobs Engineering | 13 jobs Chemistry | 12 jobs Deep Learning | 10 jobs PyTorch | 10 jobs Agile | 10 jobs Data visualization | 10 jobs R&D | 10 jobs Mathematics | 9 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Computational Biologist roles

The three most common job benefits and perks assiciated with senior-level / expert Computational Biologist job listings are Career development, Health care and Conferences. 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 | 39 jobs Health care | 17 jobs Conferences | 15 jobs Salary bonus | 11 jobs Equity / stock options | 10 jobs Startup environment | 10 jobs Relocation support | 10 jobs Flex hours | 9 jobs Competitive pay | 8 jobs Parental leave | 7 jobs Medical leave | 7 jobs Transparency | 5 jobs Flex vacation | 3 jobs Insurance | 3 jobs 401(k) matching | 2 jobs Wellness | 1 jobs Signing bonus | 1 jobs Team events | 1 jobs Home office stipend | 1 jobs Fertility benefits | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Computational Biologist in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary package includes:

• Base Salary: This is the fixed annual salary and usually constitutes the largest portion of the total compensation. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living and competitive job market.

• Bonus: Many companies offer performance-based bonuses, which can range from 10% to 20% of the base salary. These bonuses are often tied to individual performance, team success, or company profitability.

• Equity or Stock Options: Particularly in tech companies and startups, equity or stock options are a common part of the compensation package. This can be a significant portion of the total remuneration, especially in high-growth companies.

• Other Benefits: Additional remuneration might include health insurance, retirement contributions, paid time off, and other perks like wellness programs or professional development funds.

Increasing Salary Further

To increase your salary beyond the median of USD 159,900, consider the following strategies:

• Specialize Further: Developing expertise in a niche area within AI/ML or computational biology can make you more valuable. This could involve focusing on cutting-edge technologies or methodologies.

• Leadership Roles: Transitioning into managerial or leadership positions can significantly boost your salary. This might involve leading a team of data scientists or heading a project.

• Networking and Industry Engagement: Building a strong professional network and engaging with industry events can open up opportunities for higher-paying roles. Speaking at conferences or publishing research can also enhance your reputation and marketability.

• Continuous Learning: Staying updated with the latest advancements in AI/ML and computational biology through courses, workshops, or certifications can make you more competitive.

Educational Requirements

For a senior-level position in this field, the most common educational requirements include:

• Advanced Degree: A Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related field is often preferred. A Master's degree with significant experience might also be acceptable.

• Interdisciplinary Knowledge: A strong foundation in both biological sciences and computational methods is crucial. This includes understanding algorithms, data structures, and statistical methods.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

• Certified Data Scientist (CDS): This certification can demonstrate your expertise in data science methodologies and tools.

• AWS Certified Machine Learning: Useful if you are working with cloud-based machine learning solutions.

• TensorFlow Developer Certificate: This can be beneficial if you are using TensorFlow for machine learning projects.

Required Experience

Typically, a senior-level role requires:

• Extensive Experience: At least 5-10 years of experience in computational biology, data science, or a related field. Experience in leading projects or teams is often expected.

• Proven Track Record: Demonstrated success in applying AI/ML techniques to solve complex biological problems. This could include published research, successful projects, or patents.

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