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Genomics scientist education requirements

Updated January 8, 2025
4 min read

There are several educational requirements to become a genomics scientist. Genomics scientists usually study biology, biochemistry, biophysics, molecular biology, or microbiology. 50% of genomics scientists hold a bachelor's degree, and 33% hold an doctoral degree. We analyzed 20 real genomics scientist resumes to see exactly what genomics scientist education sections show.

The most common colleges for genomics scientists are the New England Law | Boston and the New England Law | Boston.

There are also many online genomics scientist courses to help get the education required to be a genomics scientist.

What education do you need to become a genomics scientist?

What degree do you need to be a genomics scientist?

The most common degree for genomics scientists is bachelor's degree, with 50% of genomics scientists earning that degree. The second and third most common degree levels are doctoral degree degree at 33% and doctoral degree degree at 17%.
  • Bachelor's, 50%
  • Doctorate, 33%
  • Master's, 17%

What should I major in to become a genomics scientist?

You should major in biology to become a genomics scientist. 21% of genomics scientists major in biology. Other common majors for a genomics scientist include biochemistry, biophysics, molecular biology and microbiology.

Most common colleges for genomics scientists

Genomics scientists often get their degrees at New England Law | Boston, Southern Illinois University Carbondale, and City College of New York of the City University of New York, The. Here are the most common colleges for genomics scientists in the US based on their resumes.
Genomics scientist common collegePercentages
New England Law | Boston15.38%
Southern Illinois University Carbondale15.38%
City College of New York of the City University of New York, The7.69%
New York University7.69%
Armstrong State University7.69%

Best majors for genomics scientists

Best colleges for genomics scientists

The best colleges for genomics scientists are Stanford University, Harvard University, and Duke University.

A genomics scientist with advanced education typically earns a higher salary and has access to better jobs. That's why Zippia looked into the best colleges for genomics scientists. We based this list on several metrics: admissions rate, retention rate, mean earnings of graduates, the ratio of working vs. non-working students ten years after admission, the average cost of attendance, and median debt for graduates who become genomics scientists.

1. Stanford University

Stanford, CA • Private

In-state tuition

$51,354

Enrollment

7,083

2. Harvard University

Cambridge, MA • Private

In-state tuition

$50,420

Enrollment

7,582

3. University of Michigan - Ann Arbor

Ann Arbor, MI • Private

In-state tuition

$15,262

Enrollment

30,079

4. Cornell University

Ithaca, NY • Private

In-state tuition

$55,188

Enrollment

15,105

5. Columbia University in the City of New York

New York, NY • Private

In-state tuition

$59,430

Enrollment

8,216

6. Vanderbilt University

Nashville, TN • Private

In-state tuition

$49,816

Enrollment

6,840

7. Duke University

Durham, NC • Private

In-state tuition

$55,695

Enrollment

6,596

8. University of Florida

Gainesville, FL • Private

In-state tuition

$6,381

Enrollment

34,564

9. University of Southern California

Los Angeles, CA • Private

In-state tuition

$56,225

Enrollment

19,548

10. Yale University

New Haven, CT • Private

In-state tuition

$53,430

Enrollment

5,963

20 best online courses for genomics scientists

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1. Genomic Data Science

coursera

With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.\n\nThis Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including...

2. Whole genome sequencing of bacterial genomes - tools and applications

coursera

This course will cover the topic of Whole genome sequencing (WGS) of bacterial genomes which is becoming more and more relevant for the medical sector. WGS technology and applications are high on international political agenda, as the classical methods are being replaced by WGS technology and therefore bioinformatic tools are extremely important for allowing the people working in this sector to be able to analyze the data and obtain results that can be interpreted and used for different...

3. Essential Non Technical Skills of Effective Data Scientists

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4.4
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Boost your Data Science Career by developing these crucial Non Technical Skills & become a Successful Data Scientist...

4. Statistics for Data Science and Business Analysis

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4.5
(39,897)

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis...

5. Bioconductor for Genomic Data Science

coursera

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University...

6. Command Line Tools for Genomic Data Science

coursera

Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University...

7. The Data Science Course: Complete Data Science Bootcamp 2023

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4.6
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Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning...

8. Business Analysis: Developing Requirements

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4.5
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Master the methods involved in planning and gathering requirements and framing input into requirements documents...

9. Plant Bioinformatics

coursera

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse. For instance, knowing where and when a gene is expressed can help us narrow down the...

10. Bioinformatics Capstone: Big Data in Biology

coursera

In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data. In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing...

11. Software Development: Better Requirements Gathering Skills

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Boost Your Software Requirements Gathering Skills Today! Learn The Techniques That Work!...

12. Data Science, Analytics & AI for Business & the Real World™

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Use Data Science & Statistics To Solve Business Problems & Gain Insights Into Everyday Problems With 35+ Case Studies...

13. Reverse and complement nucleic acid sequences (DNA, RNA) using Python

coursera

In this 1-hour long project-based course, you will learn the basic building blocks in the Python language and how to Develop a Python program that constructs reverse, complement, and reverse-complement nucleic acid sequences (DNA, RNA). Also, you will make your code read a file that has a long DNA sequence and deal with one of the complete genomes for the novel coronavirus...

14. Reverse and complement nucleic acid sequences (DNA, RNA) using R

coursera

In this 1-hour long project-based course, you will learn the basic building blocks in the R language and how to Develop an R program that constructs reverse, complement, and reverse-complement nucleic acid sequences (DNA, RNA). Also, you will make your code read a file that has a long DNA sequence and deal with one of the complete genomes for the novel coronavirus...

15. Introduction to Machine Learning for Data Science

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A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist...

16. Business Analysis: Functional & Non-Functional Requirements

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Simple Requirements Decomposition / Drill-Down Techniques for Defining Product Behaviors and Qualities (Now with AI)...

17. Plant Bioinformatics Capstone

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The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger. In Plant Bioinformatics on Coursera.org, we covered 33 plant-specific...

18. Plant Bioinformatic Methods

coursera

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core...

19. Drug Development Product Management

coursera

Pharmaceutical and biotech companies are spending years and millions of dollars developing drugs or promising new biologics, all with the hopes of saving or enhancing patients’ lives. This specialization will provide you with a 30,000 feet view of the entire process of drug discovery and development. In the first course you will begin with learning how scientists go from selecting a drug discovery target to filing an Initial New Drug application. In the second course you will learn the...

20. Databases for Data Scientists

coursera

Whether you are a beginning programmer with an interest in Data Science, a data scientist working closely with content experts, or a software developer seeking to learn about the database layer of the stack this specialization is for you! We focus on the relational database which is the most widely used type of database. Relational databases have dominated the database software marketplace for nearly four decades and form a core, foundational part of software development. In this specialization...

Top 10 most affordable universities for genomics scientists

The most affordable schools for genomics scientists are University of Florida, hunter college of the city university of new york, and california state university - bakersfield.

If the best universities for genomics scientists are out of your price range, check out these affordable schools. After factoring in in-state tuition and fees, the average cost of attendance, admissions rate, average net price, and mean earnings after six years, we found that these are the most affordable schools for genomics scientists.

1. University of Florida

Gainesville, FL • Private

In-state tuition

$6,381

Cost of attendance

21,034

2. Hunter College of the City University of New York

New York, NY • Private

In-state tuition

$7,182

Cost of attendance

13,998

3. California State University - Bakersfield

Bakersfield, CA • Private

In-state tuition

$7,309

Cost of attendance

16,714

4. Brigham Young University

Provo, UT • Private

In-state tuition

$5,620

Cost of attendance

18,136

5. Florida State University

Tallahassee, FL • Private

In-state tuition

$5,656

Cost of attendance

21,623

6. University of North Carolina at Chapel Hill

Chapel Hill, NC • Private

In-state tuition

$8,987

Cost of attendance

25,527

7. University of South Florida

Tampa, FL • Private

In-state tuition

$6,410

Cost of attendance

20,456

8. California State University - Fullerton

Fullerton, CA • Private

In-state tuition

$6,886

Cost of attendance

17,645

9. Florida International University

Miami, FL • Private

In-state tuition

$6,556

Cost of attendance

19,434

10. California State University - Northridge

Northridge, CA • Private

In-state tuition

$6,893

Cost of attendance

18,870

Top 10 hardest universities to get into for genomics scientists

The hardest universities for genomics scientists to get into are Stanford University, Harvard University, and Duke University.

Some great schools for genomics scientists are hard to get into, but they also set your career up for greater success. The list below shows the most challenging universities to get into for genomics scientists based on an institution's admissions rates, average SAT scores accepted, median ACT scores accepted, and mean earnings of students six years after admission.

1. Stanford University

Stanford, CA • Private

Admissions rate

4%

SAT average

1,497

2. Harvard University

Cambridge, MA • Private

Admissions rate

5%

SAT average

1,520

3. Duke University

Durham, NC • Private

Admissions rate

9%

SAT average

1,516

4. Columbia University in the City of New York

New York, NY • Private

Admissions rate

6%

SAT average

1,512

5. Yale University

New Haven, CT • Private

Admissions rate

6%

SAT average

1,517

6. Vanderbilt University

Nashville, TN • Private

Admissions rate

10%

SAT average

1,514

7. Johns Hopkins University

Baltimore, MD • Private

Admissions rate

11%

SAT average

1,513

8. University of Chicago

Chicago, IL • Private

Admissions rate

7%

SAT average

1,520

9. Northwestern University

Evanston, IL • Private

Admissions rate

8%

SAT average

1,508

10. Cornell University

Ithaca, NY • Private

Admissions rate

11%

SAT average

1,471

Top 10 easy-to-apply-to universities for genomics scientists

The easiest schools for genomics scientists to get into are Barry University, notre dame de namur university, and d'youville college.

Some schools are much easier to get into. If you want to start your career as a genomics scientist without much hassle, check out the list of schools where you will be accepted in no time. We compiled admissions rates, average SAT scores, average ACT scores, and average salary of students six years after graduation to uncover which were the easiest schools to get into for genomics scientists.

1. Barry University

Miami, FL • Private

Admissions rate

91%

SAT average

1,006

2. Notre Dame de Namur University

Belmont, CA • Private

Admissions rate

82%

SAT average

983

3. D'Youville College

Buffalo, NY • Private

Admissions rate

100%

SAT average

1,072

4. Mount Saint Mary's University

Los Angeles, CA • Private

Admissions rate

84%

SAT average

1,031

5. Wayland Baptist University

Plainview, TX • Private

Admissions rate

98%

SAT average

1,003

6. Curry College

Milton, MA • Private

Admissions rate

93%

SAT average

1,026

7. University of the Incarnate Word

San Antonio, TX • Private

Admissions rate

88%

SAT average

1,044

8. Notre Dame College

Cleveland, OH • Private

Admissions rate

90%

SAT average

994

9. Marymount University

Arlington, VA • Private

Admissions rate

91%

SAT average

1,065

10. Our Lady of the Lake University

San Antonio, TX • Private

Admissions rate

93%

SAT average

1,002

Average genomics scientist salary by education level

According to our data, genomics scientists with a Doctorate degree earn the highest average salary, at $114,423 annually. Genomics scientists with a Master's degree earn an average annual salary of $94,114.
Genomics scientist education levelGenomics scientist salary
Master's Degree$94,114
Bachelor's Degree$84,053
Doctorate Degree$114,423

Genomics scientist education FAQs

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Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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