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Python Biology Jobs in Illinois (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Springfield, IL · Remote

$80 - $110/hr

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

micro1 AI

Cheminformatics Specialist - Remote

Peoria, IL · Remote

$80 - $110/hr

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

micro1 AI

Cheminformatics Specialist - Remote

Aurora, IL · Remote

$80 - $110/hr

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

micro1 AI

Cheminformatics Specialist - Remote

Elgin, IL · Remote

$80 - $110/hr

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

micro1 AI

Bioinformatics Software Engineer

Naperville, IL · Remote

$80 - $110/hr

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

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Python Biology information

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 the key skills and qualifications needed to thrive as a computational biologist specializing in Python?

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 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.

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 roles in bioinformatics, computational biology, and systems biology.

What are popular job titles related to Python Biology jobs in Illinois?

For Python Biology jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Python Biology jobs in Illinois look for?

The top searched job categories for Python Biology jobs in Illinois are:

What cities in Illinois are hiring for Python Biology jobs?

Cities in Illinois with the most Python Biology job openings:

Python Biology jobs near you

Computational Biologist

The University of Chicago

Chicago, IL • On-site

$60K - $80K/yr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities

Job description

Department
BSD MED - Genetic Medicine - Im Research Staff
About the Department
The Section of Genetic Medicine shape the future of personalized medicine with successful research programs focused on the quantitative genetic and genomic science. The Section provides extremely valuable collaborations with investigators in the Department of Medicine who are seeking to develop new and more powerful ways to identify genetic risk factors for common, complex disorders with almost immediate clinical application.
The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.
Job Summary
We are seeking a lifelong learner interested in developing statistical and computational tools to sift through large amounts of data to make discoveries that can improve human health. The Computational Biologist will contribute to the development and application of statistical and computational tools across NIH-funded projects, integrating large-scale GWAS with metabolomics data to uncover mechanisms underlying complex diseases and developing polygenic risk scores that transfer genetic signals across human populations and model organisms to study addiction-related traits, COPD, type 2 diabetes, and other common diseases.
Responsibilities
  • Analyze large-scale genomic datasets including RNA-seq, whole genome sequence, and single-cell data.
  • Develop and apply statistical and computational methods to extract biological insights from high-dimensional data.
  • Develop and train deep learning models to improve upon traditional statistical methods in genomics.
  • Collaborate with disease and genomics experts to address pressing biomedical research questions.
  • Write and contribute to scientific publications and present findings at lab and consortium meetings.
  • Help train and mentor students in the lab.
  • Applies research principles and relevant subject matter knowledge relevant to administer a research project. With a moderate level of direction, manages lab and/or research-related duties and tasks. Helps develop, design and conduct research projects according to plan.
  • Takes responsibility for the following laboratory duties: recognizing abnormal results and varying conditions or procedures to correct problems; setting up and performing experiments. Analyze the meaning, significance, causes, and effects of the subject.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Education:
  • Master's or doctoral degree in computational biology, bioinformatics, statistics, physics, or other quantitative disciplines with an interest in applying skills to biomedical research.

Experience:
  • Experience with deep learning in genomics and large language models.
  • Experience with large datasets, distributed computing, and databases.
  • Reproducible research tools and workflows (GitHub, Snakemake, Nextflow).
  • Proficiency in R and/or Python.

Preferred Competencies
  • Strong Analytical skills.
  • Problem-solving skills.
  • Organizational skills.
  • Verbal and written communication skills.
  • Ability to work independently and as part of a team
  • Willingness to explore and adopt new ideas and technologies.
  • Analytical, statistical, quantitative, and computational/programming skills.

Application Documents
  • Resume (required)
  • Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Salary
FLSA Status
Exempt
Pay Range
$60,000.00 - $80,000.00
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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