Salary for Senior-level / Expert Computational Biologist during 2024

Salary details

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

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 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 | 39 jobs Biology | 38 jobs Research | 36 jobs R | 35 jobs Bioinformatics | 34 jobs Machine Learning | 32 jobs PhD | 30 jobs Statistics | 26 jobs Data analysis | 23 jobs Drug discovery | 21 jobs Computer Science | 18 jobs Pharma | 13 jobs Chemistry | 12 jobs Deep Learning | 10 jobs Engineering | 10 jobs Data visualization | 10 jobs PyTorch | 8 jobs Agile | 8 jobs R&D | 8 jobs Mathematics | 8 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, Conferences and Health care. 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 | 35 jobs Conferences | 15 jobs Health care | 14 jobs Relocation support | 10 jobs Salary bonus | 10 jobs Startup environment | 9 jobs Flex hours | 8 jobs Equity / stock options | 7 jobs Parental leave | 7 jobs Competitive pay | 7 jobs Medical leave | 7 jobs Transparency | 5 jobs 401(k) matching | 2 jobs Flex vacation | 2 jobs Insurance | 2 jobs Wellness | 1 jobs Signing bonus | 1 jobs Team events | 1 jobs Home office stipend | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Computational Biologist in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, in regions with a lower cost of living, the base salary might be lower, but the overall package could still be competitive due to other benefits. In the biotech or pharmaceutical industries, bonuses might be tied to project milestones or company performance. Larger companies often offer more structured bonus plans and additional perks, while startups might offer more equity to compensate for lower base salaries.

Increasing Salary

To increase your salary further from this position, consider pursuing leadership roles such as a team lead or managerial position, which often come with higher pay. Expanding your skill set to include expertise in emerging technologies or methodologies in AI/ML can also make you more valuable. Networking within industry-specific conferences and workshops can open up opportunities for higher-paying roles. Additionally, publishing research or contributing to high-impact projects can enhance your reputation and bargaining power. Negotiating your salary based on market research and your contributions to the company can also be effective.

Educational Requirements

Most senior-level positions in computational biology within AI/ML/Data Science require at least a master's degree in a related field such as computational biology, bioinformatics, computer science, or data science. A Ph.D. is often preferred, especially for roles that involve significant research components or are within academia or research institutions. The educational background should ideally include a strong foundation in both biological sciences and computational methods.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile. Certificates in data science, machine learning, or specific programming languages (such as Python or R) can be beneficial. Certifications from recognized institutions like Coursera, edX, or specific industry certifications like AWS Certified Machine Learning can demonstrate your commitment to continuous learning and expertise in relevant tools and technologies.

Required Experience

Typically, a senior-level computational biologist in AI/ML/Data Science is expected to have at least 5-10 years of experience in the field. This experience should include hands-on work with data analysis, machine learning models, and computational tools relevant to biological data. Experience in leading projects, mentoring junior team members, and contributing to significant research or product development is often required. Experience in interdisciplinary collaboration, especially between biology and computational teams, is highly valued.

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