Salary for Senior-level / Expert Bioinformatics Scientist during 2024
💰 The median Salary for Senior-level / Expert Bioinformatics Scientist during 2024 is USD 156,300
✏️ This salary info is based on 30 individual salaries reported during 2024
Salary details
The average senior-level / expert Bioinformatics Scientist salary lies between USD 126,800 and USD 190,200 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
- Bioinformatics Scientist
- Experience
- Senior-level / Expert
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 30
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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 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 jobsTop 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 jobsSalary Composition
The salary for a Senior-level or Expert Bioinformatics Scientist in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5-10%.
Regional differences play a significant role in salary composition. For instance, positions in tech hubs like Silicon Valley or New York City may offer higher base salaries and more substantial stock options due to the high cost of living and competitive job market. Industry also influences salary composition; biotech and pharmaceutical companies might offer more comprehensive benefits packages, while tech companies might provide more lucrative stock options. Company size can affect bonuses and stock options, with larger companies often providing more structured and predictable compensation packages.
Increasing Salary
To increase your salary from a Senior-level Bioinformatics Scientist position, consider the following strategies:
- Skill Enhancement: Continuously update your skills in cutting-edge AI/ML techniques and tools. Specializing in niche areas like deep learning, natural language processing, or genomics can make you more valuable.
- Leadership Roles: Transition into leadership or managerial roles, such as a team lead or project manager, which often come with higher pay.
- Networking: Build a strong professional network within the industry. Attend conferences, workshops, and seminars to connect with industry leaders and peers.
- Publications and Patents: Contribute to scientific literature or secure patents, which can enhance your reputation and bargaining power.
- Negotiation: Leverage offers from other companies to negotiate a better package with your current employer.
Educational Requirements
Most Senior-level Bioinformatics Scientist positions require a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field. A strong foundation in biology, statistics, and computer science is essential. Some positions may accept candidates with a Master's degree, provided they have extensive experience and a proven track record in the field.
Helpful Certifications
While not always mandatory, certain certifications can enhance your profile:
- Certified Data Scientist (CDS): Validates your expertise in data science and analytics.
- AWS Certified Machine Learning: Demonstrates proficiency in deploying machine learning models on the AWS platform.
- TensorFlow Developer Certificate: Shows competence in using TensorFlow for machine learning and deep learning tasks.
- Bioinformatics Certifications: Specialized certifications in bioinformatics tools and software can be beneficial.
Required Experience
Typically, 5-10 years of experience in bioinformatics, data science, or a related field is required for a senior-level position. Experience should include hands-on work with large datasets, developing and deploying machine learning models, and a track record of successful projects. Experience in leading teams or projects is often preferred.
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