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Python Biology Jobs in Chicago, IL (NOW HIRING)

Tempus

Scientist II, Translational Research

Chicago, IL · On-site +1

$100K - $150K/yr

Alternatively, a PhD inMolecular Biology or Immunology combined with a very strong record of ... Proficient in R, Python, and SQ Previous experience working with large transcriptome data sets.

Northwestern University

Postdoctoral Scholar

Evanston, IL · On-site

$61K - $68K/yr

... biology, immunology, and mouse models * Technical qualifications: mouse breeding and histology, immunology, epigenetic assays, cell culture * Bioinformatics skills: use of R (or python) to analyze ...

Tempus

Scientist II, Translational Research

Chicago, IL · On-site +1

$100K - $150K/yr

Alternatively, a PhD inMolecular Biology or Immunology combined with a very strong record of ... Proficient in R, Python, and SQ Previous experience working with large transcriptome data sets.

Field Museum

Postdoctoral Research Scientist

Chicago, IL · On-site

$61K/yr

Analyses will be conducted primarily in R and Python. Applicants should have a strong background in bioinformatics, computational biology, evolutionary biology, or a related field. Experience with ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site

$84K/yr

Develop and maintain modern applications using technologies such as C#, Python, and React while ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site +1

Develop and maintain modern applications using technologies such as C#, Python, and React while ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

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All JobsPython Biology JobsPython Biology Jobs in Chicago, IL

Python Biology information

See Chicago, IL salary details

$13

$60

$88

How much do python biology jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for python biology in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

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 Chicago, IL? For Python Biology jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Python Biology jobs in Chicago, IL look for? The top searched job categories for Python Biology jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Python Biology jobs? Cities near Chicago, IL with the most Python Biology job openings:
Python Biology jobs near you

Postdoctoral Fellow, Multimodal Modeling

Biohub

Chicago, IL • On-site

$84K/yr

Full-time

Retirement, PTO

Posted 7 days ago

Job description

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
Our decoding inflammation team builds tools to enable precise molecular-level measurements of inflammation within human tissues in real time, and develop proactive, early interventions that can be deployed when inflammation - which underlies the most significant causes of death worldwide - first flares in the body. You can learn more about our work here.
Our team collaborates with three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - to develop first-in-class technologies and make breakthroughs.
Our Vision
  • Pursue large scientific challenges that cannot be pursued in conventional environments
  • Enable individual investigators to pursue their riskiest and most innovative ideas
  • Facilitate research by scientists and clinicians at our home institutions and beyond

We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease.
The Opportunity
The Chan Zuckerberg Biohub Chicago is seeking outstanding early-career scientists to join and participate in the launch of the Proteoform Spatial Biology Group by continuing their training as a Postdoctoral Fellow in Multimodal Modeling. The Proteoform Spatial Biology Group aims to uncover the spatiotemporal regulation of proteins and their unique molecular forms, proteoforms, in inflammation and autoimmunity. For this position, the ideal candidate is expected to have experience in working with multimodal and multiscale modeling of diverse datatypes across confocal microscopy images, mass spectrometry-based proteomics, phosphoproteomics, and/or interactomics.
What You'll Do
  • Design and train self-supervised multimodal models that fuse confocal protein imaging, single-cell protein proximity networks, and mass spectrometry-based phosphoproteomics into shared representations, using objectives such as reconstruction and contrastive alignment (e.g., CLIP)
  • Work with graph-structured proximity-network data, collaborating on graph- and topology-aware modeling approaches, and
  • Leverage existing high-performing imaging models for feature extraction and inference, adapting them for co-embedding and building new image models where needed
  • Develop cross-modal alignment strategies relating surface organization to signaling and localization, and use the learned representations to model continuous cell-state structure and the features driving state transitions
  • Present findings internally and externally, and co-author publications
What You'll Bring
  • Essential:
    • PhD in machine learning, computational biology, bioengineering, biophysics, or a related field
    • Experience applying deep learning to images, including use of pretrained vision models
    • Demonstrated experience building both supervised and unsupervised models
    • Experience with multimodal modeling or data fusion across heterogeneous data types
    • Experience with graph neural networks or other graph/network representation learning
    • Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX, or TensorFlow)
  • Nice to Have:
    • Experience with contrastive or self-supervised learning (e.g., CLIP) for multimodal data
    • Familiarity with topology-aware or higher-order modeling (e.g., simplicial or motif-based methods)
    • Background in proteomics or mass spectrometry data analysis
    • Experience with sequencing-based or single-cell omics data analysis
    • Experience with microscopy or spatial imaging analysis in a biological setting
    • Fluency with immunology or single-cell state modeling
    • Experience building reproducible analysis pipelines and contributing to shared or open-source codebases
Compensation
The Chicago, IL base pay for a new hire in this role is $84,150. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
Benefits for the Whole You
We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving

If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
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