Work closely with research computing staff, software engineers, and faculty to help build, optimize ... bioinformatics, and data analytics. Primary Duties & Responsibilities: * Develop, test, and ...
Work closely with research computing staff, software engineers, and faculty to help build, optimize ... bioinformatics, and data analytics. Primary Duties & Responsibilities: * Develop, test, and ...
Remote Bioinformatics Faculty information
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$67.2K is the 25th percentile. Wages below this are outliers.
$59.5K - $67.7K
27% of jobs
$67.7K - $75.9K
15% of jobs
$75.9K - $84K
6% of jobs
The median wage is $85.2K / yr.
$84K - $92.2K
15% of jobs
$92.2K - $100.4K
9% of jobs
$100.4K - $108.6K
2% of jobs
$114.7K is the 75th percentile. Wages above this are outliers.
$108.6K - $116.8K
2% of jobs
$116.8K - $125K
2% of jobs
$125K - $133.1K
10% of jobs
$133.1K - $141.3K
11% of jobs
$141.3K - $149.5K
2% of jobs
$59.5K
$94.5K
$149.5K
How much do remote bioinformatics faculty jobs pay per year?
As of Jul 6, 2026, the average yearly pay for remote bioinformatics faculty in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Faculty, and why are they important?
To excel as a Remote Bioinformatics Faculty, you need a strong background in bioinformatics, computational biology, and life sciences, typically with a PhD and teaching or research experience. Familiarity with programming languages (such as Python or R), bioinformatics tools, online learning platforms, and data analysis software is essential. Excellent communication, time management, and the ability to engage and mentor students remotely are valuable soft skills. These competencies ensure effective instruction, foster student success, and facilitate impactful research in a virtual academic environment.
What are some common challenges faced by remote bioinformatics faculty, and how can they be addressed?
Remote bioinformatics faculty often face challenges such as maintaining effective communication with students and colleagues, managing time zones, and ensuring access to computational resources. To address these, leveraging collaborative platforms (like Slack or Zoom) and cloud-based bioinformatics tools can help facilitate seamless interaction and resource sharing. Regular virtual office hours, clear communication channels, and well-structured online materials also support student engagement and learning. Staying proactive in professional development and networking remotely can further help mitigate the isolation sometimes associated with remote roles.
What are Remote Bioinformatics Faculty?
Remote Bioinformatics Faculty are educators and researchers who teach bioinformatics courses and conduct research while working remotely, often for colleges or universities. They design and deliver online lectures, mentor students, and contribute to curriculum development in bioinformatics—a field that combines biology, computer science, and statistics. These faculty members may also be involved in collaborative research projects, grant writing, and publishing scholarly articles, all while leveraging digital technologies to connect with students and colleagues globally. Remote positions allow for flexible work arrangements and can attract professionals from diverse locations.
More about Remote Bioinformatics Faculty jobs
What cities are hiring for Remote Bioinformatics Faculty jobs? Cities with the most Remote Bioinformatics Faculty job openings:
What are the most commonly searched types of Bioinformatics Faculty jobs? The most popular types of Bioinformatics Faculty jobs are:
What states have the most Remote Bioinformatics Faculty jobs? States with the most job openings for Remote Bioinformatics Faculty jobs include:
What job categories do people searching Remote Bioinformatics Faculty jobs look for? The top searched job categories for Remote Bioinformatics Faculty jobs are:
Software Engineering Intern (Time-Limited/Remote) - WashU IT
Saint Louis, MO • On-site, Remote
Full-time
Posted 21 days ago
Job description
Scheduled Hours
40
Position Summary
Assists in application development and integration on our High-Performance Computing (HPC) cluster used by researchers across disciplines. Work closely with research computing staff, software engineers, and faculty to help build, optimize, and support scientific and data-intensive applications on a modern HPC environment.
This role is ideal for a student who enjoys software development, is curious about large-scale computing, and wants hands-on experience enabling real-world research in areas such as computational science, AI/ML, bioinformatics, and data analytics.
Job Description
Primary Duties & Responsibilities:
Working Conditions:
Job Location/Working Conditions
Physical Effort
Equipment
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
A diploma, certification or degree is not required.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.
Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Analytical Thinking, Artificial Intelligence Algorithms, C++ Programming Language, Communication, Data Analysis, Feature Engineering, Git, Independent Problem Solving, JavaScript, Linux Environments, Machine Learning (ML), Python (Programming Language), PyTorch, scikit-learn, Tensorflow, Web Application Frameworks, Work Collaboratively
Grade
G11-H
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
40
Position Summary
Assists in application development and integration on our High-Performance Computing (HPC) cluster used by researchers across disciplines. Work closely with research computing staff, software engineers, and faculty to help build, optimize, and support scientific and data-intensive applications on a modern HPC environment.
This role is ideal for a student who enjoys software development, is curious about large-scale computing, and wants hands-on experience enabling real-world research in areas such as computational science, AI/ML, bioinformatics, and data analytics.
Job Description
Primary Duties & Responsibilities:
- Develop, test, and maintain tools, scripts, and services that support research workflows on the HPC cluster (e.g., job submission helpers, workflow automation, monitoring tools).
- Contribute to internal web applications, command-line tools, or APIs that simplify HPC usage for researchers.
- Assist with integrating new research applications and libraries into the cluster environment.
- Follow software engineering best practices including version control, code reviews, issue tracking, and testing.
- Write clean, maintainable, and well-documented code.
- Help identify and implement improvements to development processes and tooling.
- Configure, build, and test scientific software, libraries, and containerized applications (e.g., Singularity/Apptainer, Docker) for use on the cluster.
- Contribute to performance testing and benchmarking of applications, analyzing results and suggesting improvements.
- Support efforts to improve usability, reliability, and automation within the HPC software stack.
Working Conditions:
Job Location/Working Conditions
- Normal office environment
Physical Effort
- Typically sitting at a desk or table
- Repetitive wrist, hand or finger movement
Equipment
- Office equipment
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
A diploma, certification or degree is not required.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.
Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Analytical Thinking, Artificial Intelligence Algorithms, C++ Programming Language, Communication, Data Analysis, Feature Engineering, Git, Independent Problem Solving, JavaScript, Linux Environments, Machine Learning (ML), Python (Programming Language), PyTorch, scikit-learn, Tensorflow, Web Application Frameworks, Work Collaboratively
Grade
G11-H
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
About Washington University Law Review
Sourced by ZipRecruiter
Industry
Print media publishing
Company size
51 - 200 Employees
Headquarters location
Saint Louis, MO, US
Year founded
1915