... Python, C/C++, Fortran, R, etc.). Experience working with HPC clusters and workflow orchestration ... bioinformatics / genomics, or 2. Computer Aided Engineering (CAE) for mechanical/aerospace ...
... Python, C/C++, Fortran, R, etc.). Experience working with HPC clusters and workflow orchestration ... bioinformatics / genomics, or 2. Computer Aided Engineering (CAE) for mechanical/aerospace ...
Computational Scientist
Blacksburg, VA · On-site
$90K - $105K/yr
... Python, C/C++, Fortran, R, etc.). • Experience working with HPC clusters and workflow ... bioinformatics / genomics, or 2. Computer Aided Engineering (CAE) for mechanical/aerospace ...
Computational Scientist
Blacksburg, VA · On-site
$90K - $105K/yr
... Python, C/C++, Fortran, R, etc.). • Experience working with HPC clusters and workflow ... bioinformatics / genomics, or 2. Computer Aided Engineering (CAE) for mechanical/aerospace ...
Python Bioinformatics information
See Virginia salary details
$13.11 - $19.69
1% of jobs
$19.69 - $26.28
0% of jobs
$26.28 - $32.87
2% of jobs
$32.87 - $39.45
5% of jobs
$39.45 - $46.04
11% of jobs
$47.98 is the 25th percentile. Wages below this are outliers.
$46.04 - $52.63
18% of jobs
The median wage is $56.06 / hr.
$52.63 - $59.21
24% of jobs
$64.25 is the 75th percentile. Wages above this are outliers.
$59.21 - $65.80
18% of jobs
$65.80 - $72.38
13% of jobs
$72.38 - $78.97
5% of jobs
$78.97 - $85.56
3% of jobs
$13
$58
$85
How much do python bioinformatics jobs pay per hour?
What is a Python Bioinformatics job?
A Python Bioinformatics job involves using Python programming to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this role develop algorithms, write scripts, and use bioinformatics libraries like Biopython to process large datasets efficiently. They often work in research institutions, pharmaceutical companies, or healthcare organizations to support scientific discoveries and advancements in medicine. Strong skills in Python, data analysis, and computational biology are essential for success in this field.
What does a typical workday look like for a Python Bioinformatics professional?
A typical workday for a Python Bioinformatics professional often involves developing and maintaining data analysis pipelines, processing large biological datasets, and interpreting results in collaboration with biologists and other researchers. You'll spend substantial time writing scripts, troubleshooting code, and integrating different bioinformatics tools to address specific research questions. Team meetings and presentations are common, as the role requires frequent interaction with cross-functional colleagues. This dynamic environment offers the opportunity to stay engaged with new technologies and make meaningful contributions to scientific discovery.
What are the key skills and qualifications needed to thrive in the Python Bioinformatics position, and why are they important?
To thrive as a Python Bioinformatics professional, you need a strong foundation in biological sciences, proficiency in Python programming, and experience analyzing complex biological datasets. Familiarity with bioinformatics tools such as Biopython, BEDtools, and databases like NCBI, as well as knowledge of cloud computing platforms and relevant certifications, is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams. These competencies are vital for interpreting biological data accurately, developing reliable pipelines, and advancing research objectives.

Virginia Tech rating
7.8
Based on 65 frontline employees who took The Breakroom Quiz
204th of 560 rated colleges and universities
Job description
Apply now Back to search results Job no: 536897
Work type: Administrative & Professional
Senior management: Vice President-Info Technology
Department: Advanced Research Computing
Location: Blacksburg, Virginia, Hybrid
Categories: Information Systems / Technology
Job Description
Advanced Research Computing at Virginia Tech provides centralized, scalable compute, storage, and visualization services that enable groundbreaking research across all of Virginia Tech. ARC currently operates compute resources comprised of
50,000+ CPU cores
500+ GPUs
over 10PB of storage
a world class immersive visualization lab.
We continuously evaluate emerging research computing trends to deliver high impact systems that meet the needs of the VT research community.
The Computational Scientist works directly with researchers at Virginia Tech while also contributing to technical development, outreach, and administrative activities. This role offers opportunities to mentor students, contribute to open source projects, attend national conferences, and participate in funded project proposals. ARC serves a diverse community and encourages applications from under represented groups in STEM.
Required Qualifications
Master's degree, or a combination of education, training, and progressive experience that equates to a Master's degree.
Demonstrated service orientation and strong interpersonal skills.
Proven experience managing projects and organizing events.
Ability to explain technical concepts to audiences with varying levels of expertise.
Proficiency with Linux command line tools, shell scripting, and one or more programming languages commonly used in scientific computing (Python, C/C++, Fortran, R, etc.).
Experience working with HPC clusters and workflow orchestration tools
Familiarity with software development best practices (version control, testing, documentation).
Exposure to data intensive or big data research workflows.
Preferred Qualifications
Proven record of organizing community oriented events (workshops, seminars, conferences).
Ph.D. or equivalent advanced degree with a focus on computational research.
Experience conducting computational research in a relevant field
Background in one of the following domains (either is desirable):
1. Computational biology / bioinformatics / genomics, or
2. Computer Aided Engineering (CAE) for mechanical/aerospace applications (finite element analysis, finite difference methods, Lattice Boltzmann methods, or other numerical PDE solvers).
Deep knowledge of high performance computing, high speed networking, collaborative research tools, and storage architectures.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Regular
Salary Information
$90,000 - $105,000
Hours per week
40
Review Date
7/23/2026
Additional Information
Sponsorship is not available for this position.
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact IT Human Resources at ithr@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: July 2, 2026
Applications close:
Back to search results Apply now Refer a friend
What Virginia Tech employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Virginia Tech
Sourced by ZipRecruiter
Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Blacksburg, VA, US
Year founded
1872