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Python Biology Jobs in Georgia (NOW HIRING)

... over biological datasets * US Citizen (birth or naturalization) Preferred Qualifications: * Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI ...

... over biological datasets * US Citizen (birth or naturalization) Preferred Qualifications: * Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI ...

... over biological datasets * US Citizen (birth or naturalization) Preferred Qualifications: * Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI ...

... over biological datasets * US Citizen (birth or naturalization) Preferred Qualifications: * Experience with SAS, R, Python, SQL * Surveillance pipeline development * Dashboarding tools (Power BI ...

... Biology, Epidemiology, or a related field. * Hands-on experience with HIV-TRACE, BEAST, TimeTree, or comparable molecular sequence analytical tools. * Strong programming skills in Python or R for ...

... benefits of synthetic biology today. We are seeking a self-motivated and highly organized ... Use data analysis tools (Excel, JMP, Python, or similar) to interpret results * Prepare summaries ...

... benefits of synthetic biology today. We are seeking a self-motivated and highly organized ... Use data analysis tools (Excel, JMP, Python, or similar) to interpret results * Prepare summaries ...

... benefits of synthetic biology today. We are seeking a self-motivated and highly organized ... Use data analysis tools (Excel, JMP, Python, or similar) to interpret results * Prepare summaries ...

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

... biology; or, Bachelor's degree with 2+ years' relevant experience and strong technical skills * Candidates must have hands on experience with SQL and R/Python, and master data science tools such as ...

... cell biology in systemic lupus erythematosus (SLE). Responsibilities include designing and ... R and Python, contribute to manuscript and grant preparation, present research findings at ...

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Python Biology information

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.

What careers can I do with Python?

Python is widely used in careers such as bioinformatics, computational biology, data analysis, and scientific research. Roles often involve developing algorithms, analyzing biological data, and automating workflows, with skills in programming, statistics, and biology. Knowledge of tools like Jupyter notebooks and libraries such as Biopython can enhance job prospects.

What biology jobs pay over $100k?

In biology-related fields, roles such as bioinformatics director, pharmaceutical research scientist, and senior clinical research manager often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, strong analytical skills, and experience with specialized tools like R or Python for data 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 bioinformatics, computational biology, and genomics roles.

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 is the highest paying job in bioinformatics?

The highest paying jobs in bioinformatics are often senior roles such as Bioinformatics Directors, Computational Biology Managers, or Lead Data Scientists, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and expertise in programming, data analysis, and biological sciences.
What cities in Georgia are hiring for Python Biology jobs? Cities in Georgia with the most Python Biology job openings:
Bioinformatician

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As healthcare IT experts, Apex is committed to building systems that enable healthcare organizations to communicate and exchange data seamlessly across different systems and devices. 

Summary:

Goldbelt Apex is seeking a qualified Bioinformatician to provide data management and bioinformatics support services. This role involves managing epidemiological and laboratory data by utilizing various software packages in collaboration with the Centers for Disease Control and Prevention’s National Center for Immunization and Respiratory Diseases, particularly within the Division of Viral Diseases and the Viral Vaccine Preventable Diseases Branch (VVPDB).


Responsibilities

Essential Job Functions:

Support the design, development, and implementation of surveillance tools to collect epidemiologic data for Viral Vaccine-Preventable Disease Programs through the following tasks:

  • Maintain epidemiological and laboratory data by using SAS as well as other data management software packages (e.g., R, REDCap, Microsoft Access, Excel, EpiInfo)
  • Support the design, development, and implementation of surveillance tools to collect epidemiologic data
  • Convert existing datasets from a diverse array of file formats (e.g., Microsoft Excel, Access, SQL, and ASCII files) into SAS datasets
  • Design, program, test, modify, enhance, maintain, and support new surveillance applications to collect epidemiological data
  • Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL)
  • Develop bioinformatics pipelines using parallel programming capabilities through workflow tools, including Snakemake or Nextflow, on Linux-based high-performance computing environments
  • Transform data sources into appropriate file formats for bioinformatics/epidemiological studies
  • Conduct data mining and data curation from public sequence databases to support bioinformatics and molecular epidemiological analyses
  • Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data
  • Submit monthly progress report, detailing achievements and progress on sub-tasks a-i. Please also indicate any project obstacles that need to be overcome

Qualifications

Necessary Skills and Knowledge:

  • Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role.

Minimum Qualifications:

  • Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types)
  • Experience with selection/evaluation of computational approaches to perform analyses of biomedical data.
  • Experience with interpretation, reporting, and documentation of computational analyses over biological datasets
  • US Citizen (birth or naturalization)

Preferred Qualifications:

  • Experience with SAS, R, Python, SQL
  • Surveillance pipeline development
  • Dashboarding tools (Power BI, Tableau, R Shiny)
  • Public health or CDC program support experience

**NOTE: Must be able to potentially obtain security clearances as needed (i.e., Confidential, Secret, or Top Secret)

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role.

Minimum Qualifications:

  • Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types)
  • Experience with selection/evaluation of computational approaches to perform analyses of biomedical data.
  • Experience with interpretation, reporting, and documentation of computational analyses over biological datasets
  • US Citizen (birth or naturalization)

Preferred Qualifications:

  • Experience with SAS, R, Python, SQL
  • Surveillance pipeline development
  • Dashboarding tools (Power BI, Tableau, R Shiny)
  • Public health or CDC program support experience

**NOTE: Must be able to potentially obtain security clearances as needed (i.e., Confidential, Secret, or Top Secret)

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME