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Remote Genomics Data Scientist Jobs in Washington

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 ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246169 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Data Scientist ROLE We need an experienced Data Scientist at the Office of the Under Secretary of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: In this role, you will apply data science techniques and methods and leverage a ...

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is seeking a ...

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you will do: * Work closely with a tight-knit team of data scientists, software developers, network ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

Data Scientist Location: McLean, VA Type: Contract To Hire Compensation: Not specified Work Model ... Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ...

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Remote Genomics Data Scientist information

How does a remote genomics data scientist typically collaborate with cross-functional research teams?

As a Remote Genomics Data Scientist, collaboration often happens through virtual meetings, shared code repositories, and cloud-based data platforms. You'll regularly interact with bioinformaticians, laboratory scientists, and clinicians to define research questions, interpret genomic data, and ensure data analysis aligns with study goals. Effective communication is key, as you'll translate complex results for non-technical stakeholders and coordinate project timelines across different locations and time zones.

What are the key skills and qualifications needed to thrive as a remote genomics data scientist, and why are they important?

To thrive as a Remote Genomics Data Scientist, you need a strong background in bioinformatics, statistics, and genomics, typically supported by an advanced degree in a relevant field. Proficiency with programming languages such as Python or R, experience with genomic data analysis tools (e.g., GATK, Bioconductor), and cloud-based data platforms are essential. Excellent problem-solving, communication, and collaboration skills help you interpret complex data and work effectively with interdisciplinary teams. These skills ensure accurate analysis, meaningful insights, and successful remote collaboration on cutting-edge genomics projects.

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

AspectRemote Genomics Data ScientistRemote Bioinformatics Analyst
Required CredentialsMaster's or PhD in Genetics, Bioinformatics, or related field; experience with genomics data analysisBachelor's or Master's in Bioinformatics, Biology, or related; familiarity with bioinformatics tools
Work EnvironmentResearch labs, biotech companies, or healthcare organizations focusing on genomicsResearch institutions, healthcare, or biotech firms analyzing biological data
Industry UsagePrimarily in genomics research, personalized medicine, and biotechIn bioinformatics projects across healthcare, agriculture, and research

Remote Genomics Data Scientists focus on analyzing genomic data to uncover biological insights, often requiring advanced degrees and specialized skills. Remote Bioinformatics Analysts handle biological data analysis but may have a broader scope, including various biological datasets. Both roles are vital in biotech and healthcare industries, but the Genomics Data Scientist typically emphasizes genomic-specific expertise.

What is a remote genomics data scientist?

A Remote Genomics Data Scientist is a professional who analyzes and interprets large-scale genetic data, such as DNA sequencing, using computational and statistical methods, while working from a remote location. Their work often involves using bioinformatics tools and machine learning to identify patterns and insights in genomic datasets. This role supports research in healthcare, pharmaceuticals, and biotechnology, helping to advance personalized medicine and disease understanding. Remote Genomics Data Scientists collaborate with multidisciplinary teams and often communicate findings through reports and visualizations.

What are the most commonly searched types of Genomics Data Scientist jobs in Washington?

The most popular types of Genomics Data Scientist jobs in Washington are:

What are popular job titles related to Remote Genomics Data Scientist jobs in Washington?

For Remote Genomics Data Scientist jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Genomics Data Scientist jobs in Washington look for?

The top searched job categories for Remote Genomics Data Scientist jobs in Washington are:

What cities in Washington are hiring for Remote Genomics Data Scientist jobs?

Cities in Washington with the most Remote Genomics Data Scientist job openings:

Data Scientist

Smithsonian Institution

Washington, DC • On-site, Remote

$121K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 21 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
Help
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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