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Biomedical Data Analyst

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April 11, 2024 3 minute read

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A biomedical data analyst is a professional who uses their knowledge of biology, medicine, and data analysis to solve problems in the healthcare industry. They collect, analyze, and interpret data to help healthcare providers improve patient care and make better decisions about treatment options.

What Biomedical Data Analysts Do

Biomedical data analysts work on a variety of projects, including:

Developing new methods for collecting and analyzing data
Identifying trends and patterns in data
Creating models to predict future outcomes
Developing software to help healthcare providers access and use data
Educating healthcare providers on how to use data to improve patient care

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Salaries for Biomedical Data Analyst

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$73,000

$104,000

$147,000

$104,000

San Francisco

$107,000

$134,000

$176,000

$134,000

Seattle

$120,000

$135,000

$162,000

$135,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$73,000

$104,000

$147,000

$104,000

San Francisco

$107,000

$134,000

$176,000

$134,000

Seattle

$120,000

$135,000

$162,000

$135,000

Austin

$94,000

$112,000

$135,000

$112,000

Toronto

$72,000

$94,000

$128,000

$94,000

London

£49,500

£61,500

£76,500

£61,500

Paris

€46,000

€61,000

€86,000

€61,000

Berlin

€68,000

€86,000

€110,000

€86,000

Tel Aviv

₪288,000

₪412,000

₪552,000

₪412,000

Singapore

S$60,000

S$72,000

S$98,000

S$72,000

Beijing

¥186,000

¥246,000

¥306,000

¥246,000

Shanghai

¥288,000

¥340,000

¥431,000

¥340,000

Shenzhen

¥312,000

¥505,000

¥653,000

¥505,000

Bengalaru

₹440,000

₹590,000

₹796,000

₹590,000

Delhi

₹403,000

₹566,000

₹776,000

₹566,000

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

Path to Biomedical Data Analyst

Take the first step.

We've curated four courses to help you on your path to Biomedical Data Analyst. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Big Data, Genes, and Medicine

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Comprehensive Bioinformatics: Learn Genomics Data Analysis

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Wrangling Computing Environments: Using Docker for Research

Wrangling Computing Environments: Using Docker for...

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Complete Bioinformatics Practical Bootcamp from Zero to Hero

Complete Bioinformatics Practical Bootcamp from Zero to...

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Reading list

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

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