PhD in Bioinformatics, Computational Biology, Genetics/Genomics, Computer Science, Biostatistics ... Proficiency in Python and/or R; strong comfort with Linux/Unix environments. * Experience ...
PhD in Bioinformatics, Computational Biology, Genetics/Genomics, Computer Science, Biostatistics ... Proficiency in Python and/or R; strong comfort with Linux/Unix environments. * Experience ...
Python Biology information
See Charleston, SC salary details
$12.37 - $18.59
1% of jobs
$18.59 - $24.81
0% of jobs
$24.81 - $31.02
2% of jobs
$31.02 - $37.24
5% of jobs
$37.24 - $43.46
11% of jobs
$45.29 is the 25th percentile. Wages below this are outliers.
$43.46 - $49.67
18% of jobs
The median wage is $52.92 / hr.
$49.67 - $55.89
24% of jobs
$60.65 is the 75th percentile. Wages above this are outliers.
$55.89 - $62.11
18% of jobs
$62.11 - $68.33
13% of jobs
$68.33 - $74.54
5% of jobs
$74.54 - $80.76
3% of jobs
$12
$54
$80
How much do python biology jobs pay per hour?
As of Aug 20, 2026, the average hourly pay for python biology in Charleston, SC is $54.86, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $62.31 per hour, depending on experience, location, and employer.
What is a Python biologist?
A Python biologist is a professional who uses the Python programming language to analyze and interpret biological data. They often work in fields like bioinformatics, genomics, and computational biology, developing software tools to process large datasets such as DNA sequences or protein structures. Python biologists help translate complex biological problems into computational solutions, enabling researchers to gain insights that would be difficult to achieve manually.
What are the key skills and qualifications needed to thrive as a computational biologist specializing in Python?
To thrive as a Computational Biologist with a focus on Python, you need a strong background in biology, bioinformatics, and programming, typically supported by a degree in biological sciences, computer science, or a related field. Familiarity with Python libraries like Biopython, NumPy, and pandas, as well as experience with data analysis tools and version control systems such as Git, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting biological data and collaborating with interdisciplinary teams. These competencies enable accurate data analysis, innovative research, and effective teamwork in advancing biological discoveries.
How do Python biology professionals typically collaborate with interdisciplinary teams in research settings?
Python Biology professionals often work closely with biologists, data scientists, and software engineers to analyze complex biological data. Collaboration usually involves translating biological questions into computational tasks, developing data pipelines, and presenting findings in a way that is accessible to both technical and non-technical stakeholders. Regular meetings and code reviews are common practices, ensuring that the software developed aligns with the scientific goals of the project. This interdisciplinary approach not only enhances research outcomes but also provides valuable learning and growth opportunities for team members.
What is the difference between Python Biology vs Bioinformatics Analyst?
| Aspect | Python Biology | Bioinformatics Analyst |
|---|---|---|
| Required Credentials | Biology degree, Python programming skills | Biology or related degree, Python and data analysis skills |
| Work Environment | Research labs, biotech companies, academic institutions | Research institutions, biotech firms, healthcare organizations |
| Industry Usage | Data analysis, modeling biological systems using Python | Analyzing biological data, developing pipelines, interpreting results |
Python Biology focuses on applying Python programming to biological research, often emphasizing coding and data modeling. Bioinformatics Analysts combine biological knowledge with data analysis skills, including Python, to interpret complex biological datasets. Both roles require programming skills and work in similar environments, but Python Biology is more research and development-oriented, while Bioinformatics Analysts focus on data interpretation and analysis.
Is Python useful for biology?
Python is widely used in biology-related jobs for data analysis, modeling, and automation of research workflows. Skills in Python, along with knowledge of biological data formats and libraries like Biopython, are valuable for roles in bioinformatics, computational biology, and systems biology.
What are popular job titles related to Python Biology jobs in Charleston, SC?
For Python Biology jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Python Biology jobs in Charleston, SC look for?
The top searched job categories for Python Biology jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Python Biology jobs?
Cities near Charleston, SC with the most Python Biology job openings:
UNIV - Open Rank Faculty - Department of Radiation Medicine
Charleston, SC • On-site
Other
Re-posted 21 days ago
Job description
Job Description Summary
Bioinformatics Lead, ctDNA Sequencing & Translational Genomics
Location: Charleston, SC, Medical University of South Carolina (MUSC), (hybrid/remote may be considered for exceptional candidates)
Entity
Medical University of South Carolina (MUSC - Univ)
Worker Type
Employee
Worker Sub-Type
Faculty
Cost Center
CC001058 COM Radiation Oncology
Pay Rate Type
Salary
Pay Grade
University-00
Pay Range
0.00 - 0.00 - 0.000
Scheduled Weekly Hours
40
Work Shift
Job Description
Position Summary
We are recruiting a Bioinformatics Lead to build and continuously improve the computational analysis platform supporting high-sensitivity circulating tumor DNA (ctDNA) assay development and translational clinical research. This role will support NGS data processing, quality control frameworks, error suppression, variant detection, and reporting across tumor-informed and tumor-naïve workflows. The successful candidate will work closely with wet-lab scientists and clinicians to enable rapid iteration, reproducibility, and scalability, with an emphasis on ultra-low allele fraction detection and rigorous translational study support.
Key Responsibilities
Pipeline development and analysis support
Any of the following (or similar) would be a plus:
Please submit:
Additional Job Description
Physical Requirements: (Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work outdoors in all weather and temperature extremes. (Infrequent) Ability to work in confined/cramped spaces. (Infrequent) Ability to perform job functions from kneeling positions. (Infrequent) Ability to squat and perform job functions. (Infrequent) Ability to perform 'pinching' operations. (Infrequent) Ability to fully use both hands/arms. (Frequent) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift and carry 15 lbs., unassisted. (Infrequent) Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Infrequent) Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Infrequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected, in one eye or with both eyes. (Continuous) Ability to see and recognize objects close at hand. (Frequent) Ability to see and recognize objects at a distance. (Frequent) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to maintain hearing acuity, with correction. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Frequent)
If you like working with energetic enthusiastic individuals, you will enjoy your career with us!
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees
Bioinformatics Lead, ctDNA Sequencing & Translational Genomics
Location: Charleston, SC, Medical University of South Carolina (MUSC), (hybrid/remote may be considered for exceptional candidates)
Entity
Medical University of South Carolina (MUSC - Univ)
Worker Type
Employee
Worker Sub-Type
Faculty
Cost Center
CC001058 COM Radiation Oncology
Pay Rate Type
Salary
Pay Grade
University-00
Pay Range
0.00 - 0.00 - 0.000
Scheduled Weekly Hours
40
Work Shift
Job Description
Position Summary
We are recruiting a Bioinformatics Lead to build and continuously improve the computational analysis platform supporting high-sensitivity circulating tumor DNA (ctDNA) assay development and translational clinical research. This role will support NGS data processing, quality control frameworks, error suppression, variant detection, and reporting across tumor-informed and tumor-naïve workflows. The successful candidate will work closely with wet-lab scientists and clinicians to enable rapid iteration, reproducibility, and scalability, with an emphasis on ultra-low allele fraction detection and rigorous translational study support.
Key Responsibilities
Pipeline development and analysis support
- Develop and maintain computational workflows supporting ctDNA-focused targeted sequencing analyses.
- Implement robust quality control metrics, acceptance criteria, and failure triage processes for high-depth sequencing runs.
- Generate analysis outputs and summaries to support translational studies, manuscripts, and grant applications.
- Contribute to continuous improvement of analytic performance (sensitivity/specificity) for ultra-low VAF detection and MRD-related applications.
- Partner with wet-lab and clinical teams to align assay design, sample processing, and analytic outputs; participate in troubleshooting and iterative optimization.
- Support study design discussions, analytic endpoint definitions, and interpretation of results for translational research programs.
- Support best practices for data governance, provenance, documentation, and reproducibility in handling human genomic data.
- Work with institutional resources to implement secure computational environments and appropriate data access practices.
- Mentor junior analysts as the program grows; contribute to hiring, onboarding, and training as needed.
- Help establish standards for analytic workflows, documentation, and communication across the research team.
- PhD in Bioinformatics, Computational Biology, Genetics/Genomics, Computer Science, Biostatistics, or related field; or MS with substantial relevant experience (track/title commensurate with credentials).
- Demonstrated experience analyzing ctDNA NGS data, including ultra-low allele fraction detection and/or MRD-related workflows.
- Strong NGS fundamentals: alignment, variant calling, QC, annotation, and interpretation-ready output generation.
- Proficiency in Python and/or R; strong comfort with Linux/Unix environments.
- Experience implementing reproducible analytic workflows and maintaining code in collaborative environments (e.g., version control).
- Track record of delivering robust pipelines used repeatedly for real datasets (not one-off scripts).
- Strong communication skills and ability to operate effectively in a multidisciplinary translational environment.
Any of the following (or similar) would be a plus:
- Method development experience related to error suppression, background error modeling, consensus approaches, or sensitivity/specificity benchmarking for ultra-low VAF detection.
- Experience designing computational validation plans (e.g., precision/recall, LOD, reproducibility) and supporting assay/pipeline iteration.
- Experience with FFPE tumor tissue sequencing analysis and variant calling (or similar challenging specimen types with artifact-aware calling and QC).
- Familiarity with HIPAA-aligned compute environments and practices for handling human genomic data; experience with secure cloud environments (AWS/GCP/Azure).
- Experience working in or alongside clinical genomics settings and documentation practices supportive of eventual clinical validation.
- Experience mentoring analysts/engineers and/or leading pipeline development across multiple projects.
Please submit:
- CV
- Brief cover letter describing ctDNA/NGS analysis experience and role-fit
- (Optional) Link to code samples or repositories demonstrating relevant workflow/pipeline work
- (Optional) Contact information for 3 references
Additional Job Description
Physical Requirements: (Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work outdoors in all weather and temperature extremes. (Infrequent) Ability to work in confined/cramped spaces. (Infrequent) Ability to perform job functions from kneeling positions. (Infrequent) Ability to squat and perform job functions. (Infrequent) Ability to perform 'pinching' operations. (Infrequent) Ability to fully use both hands/arms. (Frequent) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift and carry 15 lbs., unassisted. (Infrequent) Ability to lift objects, up to 15 lbs., from floor level to height of 36 inches, unassisted. (Infrequent) Ability to lower objects, up to 15 lbs., from height of 36 inches to floor level, unassisted. (Infrequent) Ability to push/pull objects, up to 15 lbs., unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected, in one eye or with both eyes. (Continuous) Ability to see and recognize objects close at hand. (Frequent) Ability to see and recognize objects at a distance. (Frequent) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to maintain hearing acuity, with correction. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Frequent)
If you like working with energetic enthusiastic individuals, you will enjoy your career with us!
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees