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Python Biology Jobs in Kentucky (NOW HIRING)

Experience with Git and familiarity with Python development workflows, Docker, or CI/CD workflows. * Experience supporting biological or biomedical research. * Experience collaborating with ...

Experience with Git and familiarity with Python development workflows, Docker, or CI/CD workflows. * Experience supporting biological or biomedical research. * Experience collaborating with ...

Experience with Git and familiarity with Python development workflows, Docker, or CI/CD workflows. * Experience supporting biological or biomedical research. * Experience collaborating with ...

Experience with Git and familiarity with Python development workflows, Docker, or CI/CD workflows. * Experience supporting biological or biomedical research. * Experience collaborating with ...

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 are popular job titles related to Python Biology jobs in Kentucky? For Python Biology jobs in Kentucky, the most frequently searched job titles are:
What cities in Kentucky are hiring for Python Biology jobs? Cities in Kentucky with the most Python Biology job openings:
Image Data Scientist

Image Data Scientist

Space Tango LLC

Lexington, KY โ€ข On-site

Full-time

Posted 12 days ago


Job description

Description:

Space Tango is an innovative space technology small business based in Lexington, Ky. Space Tango's mission is to manufacture health and technology products in space that create value and transformational solutions. Space Tango provides space-based automated facilities and payloads to support research and development and small-scale manufacturing needs of our partners and customers in the Low Earth Orbit environment and beyond. As a leader in automated systems, Space Tango pursues pathways to on-orbit production. Our vision is to inspire, innovate, and create a better future for humanity by utilizing the environment of space.


The Image Data Scientist position serves as the companyโ€™s technical lead and subject matter expert for imaging systems used within its spaceflight payloads and facilities. This role develops, integrates, tests, and maintains software supporting Space Tango's spaceflight payloads, while leading the continual advancement of imaging hardware, software, and analysis capabilities. Working across software, electrical, mechanical, science, and operations teams, the Image Data Scientist supports both new mission development and existing flight systems, developing image acquisition, processing, path optimization, and post-processing solutions that enable autonomous operations and scientific investigations in microgravity.


Travel may be required to support launches, customer activities, partner integrations, and mission operations. Because Space Tango's business centers around spaceflight missions, candidates should be comfortable supporting non-standard work schedules, including occasional evenings, weekends, holidays, and other non-nominal hours when required for launch campaigns, testing, or on-orbit operations.


Key Responsibilities

  • Design, develop, integrate, test, maintain, and enhance software supporting Space Tango payloads and facilities, including image acquisition, processing, visualization, and analysis capabilities.
  • Develop new software features while maintaining and improving existing software platforms used across multiple spaceflight missions.
  • Develop and enhance automated image-analysis and post-processing pipelines that generate reliable, reproducible scientific results.
  • Collaborate with external customers and internal scientists to translate scientific objectives into automated imaging and analysis workflows.
  • Optimize image-processing algorithms for biological experiments conducted in microgravity.
  • Develop computer vision techniques for feature detection, segmentation, tracking, quantification, and quality assessment.
  • Support real-time and post-flight image processing for customer investigations.
  • Support software integration, verification, testing, troubleshooting, and flight operations throughout the project lifecycle.
  • Collaborate with science, software, mechanical, electrical, and mission operations teams to ensure imaging systems meet scientific objectives.
  • Develop validation methods and quality metrics for imaging pipelines.
  • Support payload integration, testing, flight operations, and customer data reviews.
  • Evaluate emerging imaging technologies, AI methods, computer vision, and image-analysis techniques applicable to future missions.
  • Serve as the companyโ€™s technical owner for bioimaging software, analysis methods, and imaging workflows by establishing best practices and driving continual improvement across the organization.
Requirements:

Qualifications, Skills, and Experience


Required:

  • BS or MS in Computer Science, Computer Engineering, Biomedical Engineering, Bioinformatics, Physics, Applied Mathematics, or related discipline
  • 5+ years developing scientific software or image-analysis applications
  • Strong Python experience
  • Experience developing scientific software, image-analysis applications, or data-processing pipelines.
  • Experience with scientific imaging, computer vision, microscopy, or related image-processing applications.
  • ImageJ, Cellpose, StarDist, SAM, PyTorch, Bio-Formats
  • Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required for launches, testing, and mission operations.

Preferred:

  • Experience with spaceflight payloads, aerospace systems, robotics, lab automation, or embedded systems.
  • Deep learning for image segmentation/classification
  • Experience with Git and familiarity with Python development workflows, Docker, or CI/CD workflows.
  • Experience supporting biological or biomedical research.
  • Experience collaborating with multidisciplinary engineering and scientific teams.
  • Familiarity with NASA mission operations, quality systems, or regulated technical environments.

Interpersonal Skills

  • Strong attention to detail.
  • Calm, disciplined execution during time-sensitive operations.
  • Ability to collaborate across software, hardware, science, operations, and project management teams.
  • Ability to manage multiple priorities while maintaining high attention to detail.
  • Excellent written and verbal communication skills.
  • Willingness to learn new systems, tools, and procedures quickly.
  • Commitment to team success and mission reliability.

Space Tango is an Equal Opportunity Employer; employment with Space Tango is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.


This position may require access to technology and information subject to U.S. export control laws, including the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR). Employment is contingent upon the ability to obtain any necessary government authorizations to access and handle controlled technology and data. Candidates must be able to comply with all applicable export control regulations.