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Python Biology Jobs in Baltimore, MD (NOW HIRING)

Scripts and Code - Documented R/Python/Bash scripts * Monthly Summary - Summary of work performed ... Biology * Proficiency in R and at least one scripting language * Experience with QC and data ...

You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

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Python Biology information

See Baltimore, MD salary details

$13

$58

$85

How much do python biology jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python biology in Baltimore, MD is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $66.15 per hour, depending on experience, location, and employer.

What is the difference between Python Biology vs Bioinformatics Analyst?

AspectPython BiologyBioinformatics Analyst
Required CredentialsBiology degree, Python programming skillsBiology or related degree, Python and data analysis skills
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, biotech firms, healthcare organizations
Industry UsageData analysis, modeling biological systems using PythonAnalyzing 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.

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 are the key skills and qualifications needed to thrive as a Computational Biologist specializing in Python, and why are they important?

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.

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 popular job titles related to Python Biology jobs in Baltimore, MD? For Python Biology jobs in Baltimore, MD, the most frequently searched job titles are:
What cities near Baltimore, MD are hiring for Python Biology jobs? Cities near Baltimore, MD with the most Python Biology job openings:

Computational Biology/Bioinformatician

Attaineo Search, Inc.

Baltimore, MD • On-site

Full-time

Posted 2 days ago


Job description


Position: Computational Biologist/Bioinformatician
Location: Baltimore, Maryland (Remote)
We are actively seeking a Computational Biologist/Bioinformatician to augment our R&D team. Our focus is on innovating advanced molecular diagnostics kits, devices, and methodologies for the analysis of biological data, reporting directly to the VP of Technology Development.
Key Responsibilities:
  • Pioneeringthe development of innovative software tools, algorithms, and analysispipelines to expedite the transition from concept to practical testing.
  • Leadingthe in-silico design and characterization of new molecular assays forinfectious diseases, leveraging qPCR and related technologies.
  • Supervisingthe conversion of extensive biological customer data into actionableinsights through data mining, advanced visualizations, and machinelearning.
  • Assistingthe R&D team in creating scripts for efficient calculations andproject management.
  • Directingthe company's overarching initiatives in the digitization of biology.

Requirements
  • Hold aMaster's or Ph.D. degree with a minimum of 3 years of relevant workexperience.
  • Possessextensive knowledge in computational biology or bioinformatics,mathematics, and computer programming.
  • Capabilityto work independently on complex and challenging projects.
  • Proficiencyin and a passion for data visualization and effective communication ofdata science findings.
  • Demonstrableexperience with data science toolkits, machine learning, statisticalmodeling, and tool development.
  • Solidunderstanding of developing ML and statistical models for real-worldapplications.
  • Strongprogramming skills in Python and/or R; familiarity with Rust is a plus.
  • Experiencewith Linux High Performance Computing (HPC) cluster is advantageous.