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Python Biology Jobs in Colorado (NOW HIRING)

... biological science, hydrology, data analysis, or related fields, AND * Minimum two years of ... Python * Docker * Data Security and Compliance: Understanding of data governance, privacy, and ...

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

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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 job categories do people searching Python Biology jobs in Colorado look for? The top searched job categories for Python Biology jobs in Colorado are:
What cities in Colorado are hiring for Python Biology jobs? Cities in Colorado with the most Python Biology job openings:
NIST PREP Postdoc Associate in Rydberg Atom Systems

NIST PREP Postdoc Associate in Rydberg Atom Systems

Southeastern Universities Research Association

Boulder, CO • On-site

$72K - $75K/yr

Full-time

Posted 23 days ago


Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
The work will entail: NIST has an exciting opportunity to further research into Rydberg atom systems and their applications to radio wave communications and quantum sensing. The postdoctoral scholar will complete experimental and theoretical work to advance the performance of Rydberg atom systems in the detection of electric fields. Experimental work will include designing, building, and troubleshooting laser, optical and electronic systems as well as operating RF and microwave equipment and developing data analysis software. Theoretical work will include developing and analyzing atomic models for Rydberg atoms and performing RF simulations.
Key responsibilities will include but are not limited to:
  • Design and perform experiments to advance the performance of Rydberg atom electrometers and communications receivers.
  • Develop theoretical models of atomic systems and atomic sensors and compare with experimental measurements.
  • Keep a well-maintained log of experimental activities.
  • Disseminate research through peer-reviewed journals, conferences, and other presentations.

Qualifications
  • A Doctorate's degree in Physics, Atomic Physics, Optics, Quantum Optics, or a related field.
  • 4+ years of relevant experience.
  • Familiarity with atom-optical-molecular systems.
  • Ability to work with, stabilize, and align laser systems.
  • Familiarity with remote instrument communication (Matlab, Python, or Labview proficiency preferred).
  • Ability to develop data analysis software (Matlab or Python proficiency preferred).
  • Strong oral and written communication skills in the English language.

Please upload the following (preferably in a single PDF) with your application:
  • Curriculum vitae
  • Cover letter

Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003585