Salary for Senior-level / Expert Computational Biologist during 2024
💰 The median Salary for Senior-level / Expert Computational Biologist during 2024 is USD 165,942
✏️ This salary info is based on 18 individual salaries reported 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.
- Job title
- Computational Biologist
- Experience
- Senior-level / Expert
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 18
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated: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 jobsTop 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 jobsSalary 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.
Related salaries
Want to contribute?
📝 Submit your salary info
Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.
Go to salary survey📢 Share our salary survey
Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.
💾 Download the data
All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.
Go to download page🚀 Search for jobs & talent
If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.
Go to frontpageAbout this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.