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Remote Genomic Data Analyst Jobs (NOW HIRING)

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models ...

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources ... Hybrid - remote + on-site Additional Information All your information will be kept confidential ...

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Experience managing and integrating large biomedical or genomic datasets * Strong background in statistical analysis, data modeling, and computational methods * U.S. citizenship required; ability to ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

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Remote Genomic Data Analyst information

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How much do remote genomic data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote genomic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Remote Genomic Data Analyst?

A Remote Genomic Data Analyst is a professional who analyzes and interprets genetic and genomic data, typically working from a location outside a traditional office. They use bioinformatics tools and statistical techniques to process DNA, RNA, or protein sequencing data, supporting scientific research, clinical diagnostics, or pharmaceutical development. Their responsibilities often include data cleaning, quality control, visualization, and reporting of genomic findings. Working remotely, they collaborate with researchers or clinicians using digital communication platforms and may be employed by universities, hospitals, biotech companies, or research institutions.

What are some common challenges faced by Remote Genomic Data Analysts, and how can they be managed?

Remote Genomic Data Analysts often encounter challenges such as managing large-scale genomic datasets, ensuring data privacy, and collaborating effectively with distributed teams. To address these, it’s helpful to be proficient in cloud-based data management tools and maintain strong communication through regular virtual meetings. Staying current with best practices in data security and participating in online forums or collaborative platforms can also help overcome technical and collaboration hurdles.

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

To thrive as a Remote Genomic Data Analyst, you need a solid background in bioinformatics, statistics, and genomics, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools such as Python, R, command-line interfaces, and genomic databases, as well as experience with platforms like AWS or cloud-based analysis systems, is often required. Strong analytical thinking, attention to detail, and effective remote communication are important soft skills for collaborating across virtual teams and interpreting complex data. These skills and qualities are crucial for accurate data analysis, efficient problem-solving, and successful contribution to research or clinical genomics projects in a remote environment.
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Postdoctoral Fellow, Population Genetics/Genomic Data Science

Postdoctoral Fellow, Population Genetics/Genomic Data Science

Ancestry

Remote

$50K - $68K/yr

Full-time

Posted 19 days ago


Job description

About Ancestry:
When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.
Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.
Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people's lives? Join the curious.
We are looking for candidates with strong experience in genomic data analysis and enthusiasm in human populations and/or family history. Through regular mentorship from our scientists, you will gain valuable research experience for the next step in your career. You will have the opportunity to apply cutting edge computational and statistical approaches to the largest database of human genome and pedigree data in the world. You will develop methods to help millions of people understand their ancestry, their family, and themselves. Help us make an impact in this exciting field!
Join the DNA Science team as a Postdoctoral Fellow and conduct innovative research on the world's largest genomic and pedigree database to further our knowledge on human populations and family history.
What you will do:
  • You will analyze Ancestry's massive-scale genomic datasets to uncover deep insights into population structure, demographic history, and fine-scale genetic relationship inference.
  • You will develop novel statistical models and computational methods, leveraging advanced Machine Learning and Deep Learning to solve complex genomic challenges.
  • You will conduct exploratory research while maintaining a focus on demonstrating progress, identifying clear next steps, and moving toward concrete milestones.
  • You will aim to publish original research in high-impact scientific journals and present your findings at top-tier conferences.
  • While your primary focus is research, you will have the chance to collaborate with other scientists to explore opportunities to integrate your research outcomes into the Ancestry DNA product ecosystem to benefit millions of customers.

Who you are:
  • Ph.D. in Population Genetics, or Genomic Data Science, or Machine Learning (with experience applying it to genomic data).
  • Demonstrated expertise in applying and developing sophisticated computational methods. Experience with modern AI methods is a plus.
  • High proficiency in Python, C, or any other language that supports efficient, large-scale data analysis and machine learning.
  • A mindset for critical thinking and innovation, with a demonstrated ability to show results and progress while in an exploratory mode.
  • Strong communication skills to present complex genomics and statistical concepts to both technical and non-technical audiences.

Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For candidates who live in San Francisco, CA, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.