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Remote Genome Analyst Jobs (NOW HIRING)

... with remote, shore-based research and scientific support. The successful candidate will be ... analyses and curation, including e.g. sequencing, genome assembly, and other bioinformatic ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The person in this position will be in charge of genome assembly and annotation, and the detection ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... It supports a range of centers and programs, including the Genome Sciences Institute, the Center ...

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Remote Genome Analyst information

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$31K

$73.3K

$130K

How much do remote genome analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote genome analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

How does a Remote Genome Analyst effectively collaborate with research teams while working offsite?

Remote Genome Analysts typically use a combination of cloud-based platforms, version control systems, and regular virtual meetings to stay connected with research teams. They are responsible for analyzing large genomic datasets, interpreting results, and sharing insights with scientists, bioinformaticians, and clinicians. Clear communication and well-documented workflows are essential to ensure data integrity and project alignment. While working remotely offers flexibility, it also requires proactive engagement to remain updated on evolving project goals and collaborative troubleshooting of complex analyses.

What are the key skills and qualifications needed to thrive as a Remote Genome Analyst, and why are they important?

To thrive as a Remote Genome Analyst, you need a strong background in genetics, bioinformatics, and data analysis, typically supported by a degree in genomics, biology, or a related field. Familiarity with bioinformatics tools such as BLAST, Galaxy, and programming languages like Python or R, as well as experience with genomic databases, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you collaborate with research teams and interpret complex genomic data accurately. These skills enable high-quality genomic analysis, efficient data interpretation, and seamless teamwork in a remote environment.

What is a Remote Genome Analyst?

A Remote Genome Analyst is a professional who analyzes and interprets genetic data from a remote location, often working for research institutions, healthcare organizations, or biotechnology companies. Their role involves using bioinformatics tools and software to process DNA and RNA sequencing data, identify genetic variants, and contribute to research or clinical projects. By working remotely, they can collaborate with teams and access data securely through digital platforms. This flexible work arrangement allows organizations to access specialized expertise regardless of geographic location.
More about Remote Genome Analyst jobs
What cities are hiring for Remote Genome Analyst jobs? Cities with the most Remote Genome Analyst job openings:
What are the most commonly searched types of Genome Analyst jobs? The most popular types of Genome Analyst jobs are:
What states have the most Remote Genome Analyst jobs? States with the most job openings for Remote Genome Analyst jobs include:
Post Doctoral Fellow - Dr. Yan Sun

Post Doctoral Fellow - Dr. Yan Sun

Emory University

Atlanta, GA • On-site, Remote

$47K - $64K/yr

Full-time

Posted 28 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 211 frontline employees who took The Breakroom Quiz

158th of 886 rated healthcare providers


Job description

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.


POSITION INFORMATION:

  • Postdoctoral position in genomic, epigenomic, metabolomic, proteomic, and multi-omics studies of complex diseases (e.g., cardiometabolic diseases and chronic infections) are available at Emory University Rollins School of Public Health under the supervision of Dr. Yan Sun.
  • The postdoctoral fellow will help design and conduct genomic/multi-omics research in multi-ancestry populations while receiving advanced training to enhance professional skills and research independence needed for pursuit of a career.
  • The postdoctoral fellow will be encouraged to develop new ideas that promote current research, and will be required to prepare and publish scientific manuscripts under the direction of the Principal Investigator.
  • Opportunities for the associate to apply for independent funding will be available and encouraged.
  • Positions are temporary appointments.
  • The initial appointment is for one year, with expected renewal if progress is satisfactory and funds are available.

JOB DESCRIPTION:

  • Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career.
  • The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc.
  • Designs and evaluates experiments.
  • Develops new ideas that promote current research.
  • Prepares and publishes scientific manuscripts under the direction of the Principal Investigator.
  • May be responsible for operation of specific equipment.
  • May teach techniques to others, train, and supervise research staff.
  • Positions are temporary appointments as a research trainee.
  • The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available.
  • Appointments cannot exceed five years.

ADDITIONAL DETAILS:

  • Plan and coordinate the advanced computational and statistical analysis of research projects providing technical expertise in novel and/or revised analytical methodologies and techniques and plan the processing and analysis of research data obtained.
  • Design analysis strategies to perform genomic, epigenomic, proteomic, metabolic, and multi-omic analyses of large population databases. Generate documentation related to analysis. Develop and prepare research goals and/or research work to attain specific goals of various projects.
  • Lead and co-author research papers and manuscripts for publication, and collaborate in the development of posters and data presentations at conferences and workshops.
  • Opportunities to apply for independent funding will be available and strongly encouraged.

MINIMUM QUALIFICATIONS:

  • A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
  • Excellent scientific writing ability and strong oral communication skills.
  • The ability to work effectively and collegially with colleagues.
  • Additional qualifications as specified by the Principal Investigator.

PREFERRED QUALIFICATIONS:

  • A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines.
  • Candidates should have excellent scientific writing and strong oral communications skills, as well as the ability to work effectively, collaboratively, and collegially with colleagues.
  • Applicants who fail to meet these eligibility requirements will not be considered.
  • Applicants should have experience in performing statistical and bioinformatic analyses using the R/Python programming languages.
  • Experience with high-performance computing (HPC) environment, cloud-based computation, software tools for genetic epidemiologic analyses (e.g. GWAS, whole-genome sequencing, polygenic score, Mendelian Randomization), SQL, and scripting languages (e.g. PYTHON, UNIX shell) are also preferred.

NOTE:  This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule  based upon business needs.  Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee.


Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

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