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Remote Bioinformatics Scientist Jobs in Vermont (NOW HIRING)

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Remote Bioinformatics Scientist information

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$40

$58

$78

How much do remote bioinformatics scientist jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote bioinformatics scientist in Vermont is $58.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $66.44 per hour, depending on experience, location, and employer.

What is a remote bioinformatics scientist?

A Remote Bioinformatics Scientist analyzes biological data using computational tools and techniques while working from a remote location. They process genomic, proteomic, or other biological datasets to extract meaningful insights, often for research, healthcare, or pharmaceutical applications. Their work involves programming, data modeling, and statistical analysis to interpret complex biological systems. Remote professionals collaborate with researchers, biologists, and data scientists via digital communication tools. This role requires strong skills in bioinformatics software, machine learning, and data visualization.

What are the typical daily responsibilities of a remote bioinformatics scientist?

A Remote Bioinformatics Scientist typically analyzes large-scale biological datasets, develops and maintains computational pipelines, and collaborates with research teams to interpret results. Daily tasks often include coding, running data analyses, troubleshooting pipeline issues, and preparing reports or visualizations to present findings. Communication is primarily conducted through virtual meetings, emails, and collaborative platforms, ensuring alignment with project goals. Flexibility in managing one's schedule and staying proactive in team communications are key aspects of succeeding in this remote setting.

What are the key skills and qualifications needed to thrive as a remote bioinformatics scientist?

To thrive as a Remote Bioinformatics Scientist, you need a solid background in biology, computer science, and statistics, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Expertise in programming languages such as Python or R, experience with genomic databases, and familiarity with data analysis tools like BLAST or GATK are highly valued. Strong problem-solving abilities, effective remote communication, and self-motivation are standout soft skills. These qualities enable effective analysis and interpretation of complex biological data while collaborating efficiently in a distributed research environment.

Are remote bioinformatics scientists in demand?

Remote bioinformatics scientists are in high demand due to the growth of personalized medicine, genomics research, and data-driven healthcare. Employers seek candidates with skills in programming, statistical analysis, and experience with tools like R and Python, often requiring a strong background in biology or bioinformatics certifications. The remote work trend has increased opportunities across biotech, pharma, and research institutions.

Is it hard to get a job in remote bioinformatics scientist?

Securing a remote bioinformatics scientist position can be competitive, often requiring strong skills in programming, data analysis, and biological knowledge, along with experience using tools like Python, R, and Linux. Employers typically look for relevant education, such as a master's or Ph.D., and prior experience in genomics or computational biology. Building a solid portfolio and networking can improve chances of landing such roles.

What are popular job titles related to Remote Bioinformatics Scientist jobs in Vermont?

For Remote Bioinformatics Scientist jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics Scientist jobs in Vermont look for?

The top searched job categories for Remote Bioinformatics Scientist jobs in Vermont are:

Remote Bioinformatics Scientist jobs near you
Infographic showing various Remote Bioinformatics Scientist job openings in Vermont as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $121,174 per year, or $58.3 per hour.

Research Data Analysis PC5 X

University of Vermont

Burlington, VT • On-site, Remote

$80K - $95K/yr

Full-time

Posted 2 days ago

New

University Of Vermont rating

8.1

Company rating: 8.1 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

167th of 621 rated colleges and universities

Job description

Position Details
Advertising/Posting Title AI/ML Ecosystem Data Analyst Posting Summary
Serve as the AI/ML Ecosystem Data Analyst within the USGS Research Cooperative Unit at UVM,and in collaboration with the Spatial Analysis Lab (SAL). The primary role of this position is to analyze ecological data and design, build, and operationalize AI/ML workflows that collect, process, and derive insight from heterogeneous data sources, including wildlife imagery, bioacoustics recordings, geospatial and remotely sensed data, sensor networks, and field observations. Develop, train, evaluate, and deploy AI/ML models for mapping, classification, and detection of wildlife and other features, and build the data pipelines, databases, and R Shiny or comparable interfaces that make results reproducible, maintainable, and accessible to researchers, partners, and the public. Support the AI/ML branch of RSENR within the Cooperative Unit and SAL, contribute to ecosystem monitoring efforts, and help oversee the Alliance for Monitoring Biodiversity and Ecosystems Remotely (AMBER) program. Work under the direction of the USGS Research Cooperative Unit Leader and collaborate with the SAL Director, RSENR, and other partners on grant writing, business development, and research initiatives, while independently pursuing outside funding opportunities. Partner with geospatial analysts and the development team lead on research and development of new AI/ML methods and models
Minimum Qualifications (or equivalent combination of education and experience)
- PhD in Computer Science, Wildlife Biology, Ecology, Data Science, Bioinformatics, or a closely related discipline, and four years related professional experience.
- Demonstrated expertise in data science, machine learning, and AI applications.
- Strong proficiency in relational database design and management, including stand-alone programs such as SQLite and served databases such as SQL or Postgres.
- Experience with APIs, web services, Power Automate, Teams, and Sharepoint for workflow integration.
- Strong record of interdisciplinary collaboration and scientific productivity.
- Experience managing complex technical or research projects, including grant writing.
- Experience with cloud-native infrastructure and scalable AI workflows, focused primarily on the R and Python coding languages.
- Substantial experience in working with the public and agency monitoring partners.

Desirable Qualifications
- Postdoctoral experience preferred
- High proficiency in public outreach and instruction desired
- Supervisory or personnel management experience desired
Anticipated Pay Range $80,000 - $95,000 Other Information Special Conditions A probationary period may be required, Contingent on continued funding, Occasional evening and/or weekends required (if non-exempt position, may result in overtime), Travel to and from worksites required, This position is eligible for a hybrid schedule with an option to split time between campus and elsewhere, in accordance with the university telecommuting policy, Background Check required for this position FLSA Exempt Union Position Yes, UVMSU
Posting Details

Position will be posted for a minimum of one week, after which it is subject to removal without notice.

Job Location Burlington, Vermont, United States Job Open Date 08/20/2026 Job Close Date (Jobs close at 11:59 PM EST.) Open Until Filled No
Our Common Ground Statement

The University of Vermont is a welcoming, educationally purposeful community committed to creating an inclusive environment that embraces intellectual diversity and global perspectives. We seek to prepare students to be accountable leaders who will bring to their work a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct. Members of the University of Vermont community embrace and advance the values of Our Common Ground: Respect, Integrity, Innovation, Openness, Justice, and Responsibility. Staff play a critical role in this effort and the successful candidate will demonstrate a strong commitment to UVM's mission and advancing Our Common Ground values through the execution of their job duties.

Position Information
Position Title Research Data Analysis PC5 X Posting Number S6267PO Department Rubenstein Sch Env & Nat Res/57000 Position Number 00027971 Percent of Full-Time 1.0 Standard Hours at 1.0 FTE 37.5 Term (months per year) 12

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