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Python Biology Jobs in Colorado (NOW HIRING)

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

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

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

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

... Biology, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ... Proficiency in Python or R * Expertise in machine learning * Data visualization skills

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Python Biology information

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.

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

NIST PREP Data Infrastructure Engineer

Southeastern Universities Research Association

Boulder, CO • On-site

$113.20K - $148.40K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

The Statistical Engineering Division at the National Institute of Standards and Technology is seeking immediate applications for a post-bachelor's position focusing on supporting the development of scientific computing applications and tools. The tools will include both public-facing web infrastructure and code bases used by bench scientists for data collection and analysis. A primary focus will be establishing a central, high-resolution data repository for international clock and frequency standard measurements, providing essential data and collaborative infrastructure for the upcoming redefinition of the second.
The candidate's primary responsibilities may include:

  • Supporting domain experts who generate requirements documents outlining software development needs
  • Creation and deployment of a data repository to store, maintain, and share results of interlaboratory measurements and analyses.
  • Performing the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles
  • Managing and consolidating data streams originating from atomic clocks and the associated network components including, e.g., optical fiber links and optical frequency combs.
  • Developing methodology for collating complex datasets involving multimodal data or heterogeneous processing pathways
  • Extracting information from the curated data using statistical techniques and/or AI approaches
The ideal candidate will have the following skills, experience, and/or qualifications:
  • Bachelor's degree in at least one of the following fields: computer science, systems engineering, statistics, physics, or a closely-related discipline
  • Cross-disciplinary collaboration.
  • Experience in scientific computing, workflow development and data management.
  • Applied machine learning / data science.
  • Reproducible research and production/dissemination of archival datasets.
  • Enthusiasm for learning about diverse measurement science techniques.
  • Familiar with DevOps principles and container-based application development/deployment.

Keywords: Python, DevOps, Docker, Kubernetes, Linux, Bash, Amazon Web Services, JSON, XML, HTML, JavaScript, CSS
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.
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