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Phd Python Jobs in Chicago, IL (NOW HIRING)

RBN

Lead Software Engineer

Chicago, IL

... and Python Understanding of large scale real-time distributed computer systems Knowledge of ... PhD preferred) 5+ years in hands-on software development for a software or financial company ...

Anson McCade

Quantitative Researcher

Chicago, IL · On-site

$200K - $400K/yr

An advanced degree, such as a Master of Science or PhD from a top university in a STEM field of study. * Advanced coding proficiency in Python, in addition to familiarity and willingness to learn C+

Career Renew

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ... MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory) Why you ...

RBN Chicago

Lead Software Engineer

Chicago, IL · On-site

... and Python Understanding of large scale real-time distributed computer systems Knowledge of ... PhD preferred) 5+ years in hands-on software development for a software or financial company ...

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or comparable language) and working ...

Everpure

Principal Economist, GTM Science

Chicago, IL · On-site

Advanced proficiency in R, Python, or comparable statistical computing environments (such as ... Preferred : • PhD in Economics, Econometrics, or an equivalent quantitative discipline, such as ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

Required : • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related ... Python • Proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance ...

Sonsoft Inc

Data Scientist (No H1B)

Chicago, IL

... Python, R or Julia Demonstrated experience working with large, complex datasets using big data ... PhD in Mathematics, statistics, Physics, Computer Sciences or Engineering, or related field ...

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Phd Python information

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$23.7K

$144.2K

$208.6K

How much do phd python jobs pay per year?

As of Jul 14, 2026, the average yearly pay for phd python in Chicago, IL is $144,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $169,500.00 per year, depending on experience, location, and employer.

What Python jobs are in-demand?

Python developers are in high demand across industries such as technology, finance, healthcare, and data science. Common roles include data scientist, machine learning engineer, backend developer, and automation engineer, often requiring knowledge of frameworks like Django or Flask and proficiency in data analysis tools. These positions typically value strong programming skills, problem-solving ability, and experience with cloud platforms and version control systems.

Can we do PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students pursue doctoral degrees in related areas and use Python as a primary tool for research and development. Earning a PhD requires completing original research, coursework, and a dissertation in a relevant field, with proficiency in Python being a valuable skill for data analysis, machine learning, and software development.

What are the key skills and qualifications needed to thrive as a PhD-level Python Developer, and why are they important?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

Is Python in high demand?

Python is in high demand across many industries, especially for roles involving data analysis, machine learning, web development, and automation. Python developers with skills in frameworks like Django or Flask and experience with libraries such as Pandas or TensorFlow are highly sought after in the job market.

What is the highest paying job in Python?

The highest paying jobs involving Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or PyTorch. These positions can offer salaries exceeding $150,000 annually, especially with experience, certifications, and work in finance, tech, or research environments.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
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Phd Python jobs near you
Postdoctoral Appointee - Building Agentic AI Platform for X-ray Science

Postdoctoral Appointee - Building Agentic AI Platform for X-ray Science

Argonne National Laboratory

Lemont, IL • On-site

$49K - $67K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
Argonne National Laboratory is seeking a highly motivated Postdoctoral Researcher to join the X-ray Science Division. The successful candidate will develop an AI-enabled platform for X-ray absorption spectroscopy, working with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery.
Responsibilities:
• Develop an AI-enabled platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise.
• Work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery.
Qualifications:
Required:
• A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related field.
• Strong computational chemistry background in atomistic simulations, electronic-structure theory, DFT, structure-property relationships, and interpretation of simulation results.
• Hands-on experience with DFT or electronic-structure codes such as VASP, Quantum ESPRESSO, CP2K, ABINIT, GPAW, Gaussian, ORCA, Q-Chem, or related packages.
• Strong materials science or chemistry domain knowledge, such as bonding, defects, catalysis, batteries, solid-state chemistry, molecular systems, or related materials classes.
• Strong Python skills and familiarity with LLM APIs, agent frameworks, PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Passion for front-end development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments.
• Experience with complex scientific datasets and reproducible analysis or simulation workflows.
• Effective written and oral communications skills.
• Demonstrated ability to work both independently and collaboratively in a multidisciplinary environment.
• Commitment to Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred:
• Experience with X-ray absorption spectroscopy theory, modelling, and interpretation, including XANES/EXAFS.
• Hands-on experience with XAS simulation packages such as FEFF, OCEAN, FDMNES, XSpectra, or exciting.
• Experience comparing simulated and experimental XAS/XAFS spectra.
• Experience with high-throughput spectroscopy workflows, HPC, synchrotron datasets, or physics-informed AI.
Company:
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management. Founded in 1946, the company is headquartered in Lemont, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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