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Python Biology Jobs in Illinois (NOW HIRING)

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

S. /PhD in Computational Biology, Bioinformatics or a related field with 3+ yrs industry experience (biotech start-up ideal) * Proficiency in Python & JavaScript & experience in production-quality ...

Until

Engineer, Hibernation Team

Mundelein, IL

Experience with object oriented programming in C++/python * Eager to integrate into a neuroscience/biology group irrespective of past experience * Track record of exceptional engineering * Desire to ...

Blackstone Talent Group

Scientific Data Curator

Mundelein, IL · On-site

$60K - $60K/yr

An ideal candidate has hands-on or coursework exposure to biochemistry or molecular biology, is ... Basic experience generating or editing Python/R Scripts WORK ENVIRONMENT This is primarily a desk ...

Until

Member of Technical Staff

Mundelein, IL

Until is a moonshot company building a "pause button" for biology. Our near-term focus is organ ... Experience with object oriented programming in C++/python * Experience writing control software

University of Utah

Post Doc Res Assoc

Campus, IL

$56K - $65K/yr

Denise Dearing in the School of Biological Sciences at the University of Utah. Our current research ... Prior analysis of high-throughput sequencing data and experience with R and Python required.

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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.

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 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
Data Scientist II, Molecular Biology

Data Scientist II, Molecular Biology

EVOZYNE INC

Chicago, IL • On-site, Remote

$150K - $175K/yr

Full-time

Posted 11 days ago

Job description

Evozyne is an AI-native biotech company building a new way to design therapeutic proteins. Our generative AI platform was purpose-built to create entirely novel proteins that expand what’s possible beyond traditional drug discovery. We are applying this platform to develop transformative therapies for serious diseases with significant unmet need, working at the intersection of AI, biology, and protein engineering to solve complex scientific problems that conventional approaches cannot easily address.

Reporting to the Senior Director, Data Science, you will execute the analytical strategy for our drug discovery programs, encompassing experimental design, data synthesis, and featurization. You will partner closely with experimental scientists to understand assay design, wrangle multi-assay datasets, build decision-grade plots and summaries, and translate results for audiences from bench scientists to leadership. You’ll incorporate the latest advances in biological assay developments and database infrastructure to streamline program analytical processes, and your work will directly support experimental decision-making and generate high-quality datasets for model training (GenAI) for the design of novel synthetic biomolecules.

Location: Hybrid preferred (3 days per week in Chicago office); Open to remote (US-based)

What You’ll Do

  • Analyze, synthesize, and catalog experimental data across various data modalities to provide insights and optimization approaches.
  • Collaborate extensively with experimental scientists - asking questions, reflecting on objectives, and agreeing on success criteria before executing.
  • Own the development of reproducible pipelines to synthesize high-throughput experimental results into features amenable for training deep learning models.
  • Draw upon their experience in programming to maintain and update the company’s data processing and ingestion software infrastructure.
  • Deliver analyses and decision-grade visualizations that directly inform next-step experiments, assay optimization, or go/no-go decisions. 

Who You Are
You thrive in an early-stage start-up environment where you can leverage your agility and expertise to deliver high-quality results. You are galvanized by designing novel therapeutics in a rapidly evolving field with a cross-functional team of experts spanning biological disciplines. You are naturally curious and excel when working collaboratively to solve tough problems.

Required Skills + Experience

  • A PhD in a relevant scientific/or technical discipline with 0-2+ years relevant postdoctoral or industry experience, or a Master\'s degree with 4+ years of experience.
  • 2+ years of experience working in a cross-functional, collaborative scientific environment, such as in an academic lab, pharmaceutical company, and/or biotech.
  • Extensive experience working in an experimental scientific discipline, designing and executing experiments.
  • Advanced proficiency in preprocessing, analyzing, and cataloging high-throughput molecular biology or biochemistry datasets in Python.
  • Familiarity in database organization and management.
  • Expertise in ML and deep learning implementation, preferably in PyTorch or TensorFlow, is preferred.

Additional Information
Compensation: $150,000 - $175,000 

Individual compensation within this range is determined by a combination of factors, including, but not limited to level, years of relevant job-related experience, and internal equity. This is what we believe in good faith is the range of possible base salary for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. 

Relocation assistance is not available for this position.

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