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Entry Level Genomics Data Scientist Jobs (NOW HIRING)

Data Scientist

Washington, DC · On-site +1

$121K - $158K/yr

Serve as a recognized subject matter expert in data science, genomic data integration and interoperability, operations research, and data management and analytics and/or visualization. * Conduct and ...

Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or ... Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful ...

JOB SUMMARY The Clinical Genomics Scientist I analyzes clinical genetics data, curates variants and genes, and summarizes findings for clinical reports. Our scientists assist laboratory directors and ...

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Entry Level Genomics Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do entry level genomics data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for entry level genomics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How to become a genomic data scientist?

To become a genomic data scientist, one typically needs a bachelor's degree in bioinformatics, genetics, computer science, or a related field, followed by gaining skills in programming languages like Python or R, and experience with genomic data analysis tools. Advanced roles often require a master's or Ph.D. in a relevant discipline and familiarity with high-throughput sequencing technologies and statistical methods. Building a strong foundation in biology, data analysis, and computational skills is essential for success in this field.

What is the difference between Entry Level Genomics Data Scientist vs Entry Level Bioinformatics Analyst?

AspectEntry Level Genomics Data ScientistEntry Level Bioinformatics Analyst
Required CredentialsBachelor's in Bioinformatics, Genetics, or related field; some roles prefer internshipsBachelor's in Bioinformatics, Biology, or related field; similar certifications
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, academic settings
Industry UsageGenomics research, personalized medicine, biotech developmentGenomics, molecular biology, clinical research
Common Search/ComparisonYesYes

Both roles require similar educational backgrounds and work in genomics-related environments. The main difference is that a Genomics Data Scientist focuses more on analyzing large genomic datasets and developing models, while a Bioinformatics Analyst often performs data processing and interpretation tasks. Understanding these distinctions helps job seekers identify the best fit for their skills and career goals.

Is 40 too late for data science?

Entry level genomics data scientists can start at age 40, as the field values relevant skills such as programming, statistical analysis, and knowledge of genomics tools. Many professionals successfully transition into data science later in their careers by gaining certifications and practical experience, making age less of a barrier than skill set and dedication.

Can I get a data scientist job with no experience?

Entry-level genomics data scientist positions typically require some foundational knowledge in biology, programming, and data analysis, but they often do not require extensive professional experience. Candidates can improve their chances by gaining skills in tools like Python, R, and bioinformatics software, and obtaining relevant certifications or completing internships. Demonstrating a strong understanding of genomics concepts and analytical skills can help entry-level applicants secure such roles.

How do I become a data scientist with no experience?

To become an entry-level genomics data scientist with no experience, focus on building foundational skills in programming (such as Python or R), statistics, and biology through online courses or tutorials. Gaining practical experience with datasets, learning relevant tools like Jupyter notebooks, and obtaining certifications can improve your prospects; internships or volunteer projects also provide valuable hands-on experience.
More about Entry Level Genomics Data Scientist jobs
What cities are hiring for Entry Level Genomics Data Scientist jobs? Cities with the most Entry Level Genomics Data Scientist job openings:
What are the most commonly searched types of Genomics Data Scientist jobs? The most popular types of Genomics Data Scientist jobs are:
What states have the most Entry Level Genomics Data Scientist jobs? States with the most job openings for Entry Level Genomics Data Scientist jobs include:
What job categories do people searching Entry Level Genomics Data Scientist jobs look for? The top searched job categories for Entry Level Genomics Data Scientist jobs are:
Infographic showing various Entry Level Genomics Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Smithsonian Institution

Washington, DC • On-site, Remote

$121K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 10 days ago


Smithsonian Institution rating

8.6

Company rating: 8.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

2nd of 29 rated museums


Job description

Summary
The Smithsonian Institution is the world's largest museum, education, and research complex, with 21 museums and the National Zoo. The National Museum of Natural History (NMNH) is a major bureau of the Smithsonian Institution that is responsible for the acquisition, curation, and preservation of collections of objects and specimens of natural history, which tells the history of the planet and a record of human interaction with the environment and one another.
Learn more about this agency
Duties
Help
The Data Scientist will apply advanced bioinformatics and computational methods to largescale biodiversity genomics datasets; develop and implement analytical workflows, statistical models, and data-driven solutions; provide expertise in data science, bioinformatics, and computational analysis to support the (IDSC); and serve as a liaison to the Smithsonian's Laboratories of Analytical Biology community on matters related to data integration, analysis, and informatics.
In this position, you will:
  • Serve as a recognized subject matter expert in data science, genomic data integration and interoperability, operations research, and data management and analytics and/or visualization.
  • Conduct and oversee research and analysis of bioinformatics projects in the analyses of genomic, transcriptomic, metagenomic and NGS (Next Generation Sequencing) or other genomic datasets.
  • Use mastery of data science, data management and data analytics and/or visualization technologies and principles.
  • Provides informal and formal bioinformatics and genomic training for genomics community via workshops, carpentries, seminars or short courses.
  • Produce publicly accessible training videos, instructs on the mechanics of how to conduct genomic analyses.
  • Use an advanced knowledge of programming languages and analytical approaches to analyze data sets consisting of qualitative, quantitative, structured and unstructured data types.

Requirements
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Conditions of employment
  • Pass Pre-employment Background Investigation
  • May need to complete a Probationary Period
  • Maintain a Bank Account for Direct Deposit/Electronic Transfer
  • Males born after 12/31/59 must be registered with Selective Service.

Conditions of Employment
Qualification requirements must be met by the closing date of the announcement.
For information on qualification requirements, see Qualification Standards Handbook for General Schedule Positions on OPM website.
Qualifications
Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
or
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
In addition to the basic requirement above, you must meet the following:
Experience: You qualify for this position if you have one year of specialized experience equivalent to at least the GS-12 level in the Federal Service. For this position, specialized experience is defined as demonstrated expertise in research computational genomics and bioinformatics, data science and management and data analytics utilizing high-performance computing, along with working with others and training them in bioinformatic data pipelines and tools.
Your resume must be no more than two (2) pages and should clearly demonstrate how your experience aligns with the responsibilities and specialized experience required for this position. Do not copy language directly from the vacancy announcement, as you will be deemed ineligible for consideration. Instead, provide detailed, descriptive information about your actual experience.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Part-time and/or unpaid experience related to this position will be considered to determine the total number of years and months of experience. Be sure to note the number of paid or unpaid hours worked each week.
Special Instructions for Foreign Education: If you are qualifying by education and/or you have education completed in a foreign college/university described above, it is your responsibility to provide transcripts and proof of U.S. accreditation for foreign study. For instructions on where to fax these documents, see the "Required Documents" section of this announcement.
Additional information
This position is not included in the bargaining unit.
Recruitment Incentive: Recruitment incentive(s) may be authorized for this position. However, approval for incentives are contingent upon various availability. If authorized, certain incentives will require the incumbent to sign a service agreement to remain in the Federal government for a certain time period.
Note: This statement does not imply nor guarantee an incentive will be offered and paid.
Selections may be made for vacancies across the Smithsonian Institution (SI). By applying to this position, you agree to allow your application and other personal information to be shared with one or more SI hiring officials for employment consideration for same/similar positions within the location(s) identified in this announcement.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
Help
The Smithsonian offers a comprehensive benefits package that includes, in part, vacation and sick leave, holidays, health/life insurance, accident insurance, and excellent retirement program options.
Please see Benefits at https://www.si.edu/OHR/benefits for a complete description.
Flexible Spending Accounts - https://www.fsafeds.com/
Health Insurance - http://www.opm.gov/insure/health/index.asp
Leave - http://www.opm.gov/oca/leave/index.asp
Life Insurance - http://www.opm.gov/insure/life/index.asp
Long Term Care Insurance - http://www.ltcfeds.com
Retirement Program - https://www.opm.gov/retirement-services/

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