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Computational Biology Researcher

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April 29, 2024 3 minute read

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Computational Biology Researchers are scientists who use computational and mathematical tools to solve biological problems. They use their skills in computer science, biology, and mathematics to help answer questions about the structure and function of cells, the behavior of genes, the evolution of species, and the interactions between different organisms.

Education and Training

To become a Computational Biology Researcher, you typically need a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Biology, or a related field. Some researchers may also have an M.S. degree in one of these fields.

Skills

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Salaries for Computational Biology Researcher

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$147,000

$197,000

$263,000

$197,000

San Francisco

$118,000

$143,000

$174,000

$143,000

Seattle

$119,000

$148,000

$181,000

$148,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$147,000

$197,000

$263,000

$197,000

San Francisco

$118,000

$143,000

$174,000

$143,000

Seattle

$119,000

$148,000

$181,000

$148,000

Austin

$126,000

$159,000

$192,000

$159,000

Toronto

$72,000

$92,000

$123,000

$92,000

London

£49,700

£74,000

£105,000

£74,000

Paris

€43,000

€55,000

€65,000

€55,000

Berlin

€58,000

€76,000

€101,000

€76,000

Tel Aviv

₪278,000

₪344,000

₪424,000

₪344,000

Singapore

S$99,000

S$125,000

S$171,000

S$125,000

Beijing

¥144,000

¥200,000

¥250,000

¥200,000

Shanghai

¥199,000

¥270,000

¥346,000

¥270,000

Bengalaru

₹1,395,000

₹2,587,000

₹4,120,000

₹2,587,000

Delhi

₹1,260,000

₹2,200,000

₹3,630,000

₹2,200,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Computational Biology Researcher

Take the first step.

We've curated one courses to help you on your path to Computational Biology Researcher. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Algorithms, Part II

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