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Computational Geneticist

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April 11, 2024 3 minute read

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Computational Geneticists are individuals who use computation techniques to analyze genetic data. This field combines computer science, biology, genetics, and mathematics to study the relationship between genes and disease.

Education

Most Computational Geneticists have a master's degree or doctorate in genetics, bioinformatics, or a related field. Some employers may accept candidates with a bachelor's degree in a related field, such as computer science or mathematics, but they will typically require additional coursework in genetics and bioinformatics.

Skills

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Salaries for Computational Geneticist

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$135,000

$167,000

$208,000

$167,000

San Francisco

$130,000

$162,000

$211,000

$162,000

Seattle

$126,000

$153,000

$190,000

$153,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$135,000

$167,000

$208,000

$167,000

San Francisco

$130,000

$162,000

$211,000

$162,000

Seattle

$126,000

$153,000

$190,000

$153,000

Austin

$165,000

$195,000

$253,000

$195,000

Toronto

$110,000

$142,000

$170,000

$142,000

London

£81,000

£100,000

£125,000

£100,000

Paris

€73,000

€100,000

€120,000

€100,000

Berlin

€76,000

€98,000

€134,000

€98,000

Tel Aviv

₪390,000

₪450,000

₪510,000

₪450,000

Singapore

S$90,000

S$115,000

S$151,000

S$115,000

Beijing

¥395,000

¥530,000

¥780,000

¥530,000

Shanghai

¥182,000

¥228,000

¥324,000

¥228,000

Shenzhen

¥402,000

¥645,000

¥1,052,000

¥645,000

Bengalaru

₹593,000

₹1,163,000

₹1,680,000

₹1,163,000

Delhi

₹593,000

₹865,000

₹1,000,000

₹865,000

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 Geneticist

Take the first step.

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

Sorted from most relevant to least relevant:

Graph Algorithms in Genome Sequencing

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Genetics: The Fundamentals

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Quantitative Biology Workshop

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Reading list

We haven't picked any books for this reading list yet.

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