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Postdoc Python Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

The postdoctoral scholar will combine foundation AI modeling and differentiable modeling (a genre ... Proficiency in programming languages, such as Python or Fortran. * Experiences with machine ...

The Pennsylvania State University

R, Python, NCL, Julia, Fortran) and evidence of effective scholarly communication are both ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

... Postdoctoral Scholar beginning January 2027. The successful candidate will work with Professor ... Expertise in numerical simulations (with Matlab or Python) as well as basic knowledge of neural ...

The Pennsylvania State University

Programming experience (e.g., R, Python, or related languages) is preferred but not required ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

The Pennsylvania State University

Expertise in Python and/or R is expected. Experience with biological data processing pipelines ... For Postdoctoral benefits, please see our Postdoctoral Benefits page.) CAMPUS SECURITY CRIME ...

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Postdoc Python information

What are some common challenges postdoctoral researchers face when working with Python in academic research?

Postdoctoral researchers using Python often encounter challenges such as integrating Python with legacy codebases written in other languages, managing complex dependencies and environments, and ensuring reproducibility of research results. Collaborating with interdisciplinary teams may also require adapting code for different data formats and computational needs. Staying up-to-date with the latest Python libraries and best practices is crucial, as is documenting code so that it can be easily understood and used by other researchers.

What does a Postdoc Python do?

A Postdoc Python is a postdoctoral researcher who specializes in using the Python programming language for scientific research, data analysis, or software development. They typically work in academic or research settings, contributing to ongoing projects, developing computational tools, and publishing their findings. Their work may involve collaborating with other scientists, mentoring students, and advancing research through innovative coding and data analysis techniques. Proficiency in Python allows them to tackle complex problems in fields like bioinformatics, physics, engineering, and more.

What are the key skills and qualifications needed to thrive as a Postdoc Python, and why are they important?

To thrive as a Postdoc Python, you need a PhD in a relevant field, strong research experience, and advanced proficiency in Python programming. Familiarity with data analysis libraries (like NumPy, pandas, and SciPy), version control systems (such as Git), and computational tools is typically required. Critical thinking, problem-solving, and effective communication help differentiate outstanding candidates in collaborative and interdisciplinary environments. These skills ensure that complex research projects are executed efficiently, reproducibly, and with meaningful scientific contributions.

What is the difference between Postdoc Python vs Data Scientist?

AspectPostdoc PythonData Scientist
Required CredentialsPhD or equivalent in relevant field, strong Python skillsBachelor's or Master's in Data Science, Computer Science, or related field; Python skills often required
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, consulting firms
Industry UsageResearch projects, academic publicationsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonPostdoc Python vs Data Scientist

While both roles require strong Python skills, a Postdoc Python typically focuses on research and academic projects, often requiring a PhD. In contrast, a Data Scientist applies Python in industry settings to analyze data, build models, and support business goals. The work environment and career paths differ, with Postdocs leaning toward academia and Data Scientists toward industry roles.

What are popular job titles related to Postdoc Python jobs in Pennsylvania? For Postdoc Python jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Postdoc Python jobs in Pennsylvania look for? The top searched job categories for Postdoc Python jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Postdoc Python jobs? Cities in Pennsylvania with the most Postdoc Python job openings:
Postdoc Python jobs near you
Infographic showing various Postdoc Python job openings in Pennsylvania as of July 2026, with employment types broken down into 18% Internship, 72% Full Time, 6% Part Time, 1% Contract, 2% Nights, and 1% Summer. Highlights an 95% Physical, and 5% Remote job distribution.
Python Developer- Quant Core Data | Experienced Hire

Python Developer- Quant Core Data | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

$50.75 - $70/hr

Full-time

Posted 20 days ago

Job description

Overview
Overview
Join our Quant Core Data team to translate mathematical trading logic into high-performance code, and build and scale the data and backtesting infrastructure used by quantitative researchers and strategists. Our team produces data for studies to steadily improve trading behavior and strategies.
In this role, you will:
  • Translate mathematical trading logic into high-performance, optimized code
  • Build and maintain backtesting systems that simulate strategy behavior in production
  • Design and scale our historical data framework for efficiency and robustness
  • Build internal tools to create, analyze, and visualize large datasets
  • Build packages used by expert researchers to evolve our signal generation technology

What we're looking for
  • PhD (graduating by Summer 2026) or postdoc in a quantitative field (e.g., Math, Physics, Statistics, EE, CS, Operations Research, Economics)
  • Experience writing high-performance Python (Cython, pybind11, numba, or similar) and optimizing hot code paths
  • Strong Python data analysis skills (polars/pandas) for large datasets
  • Enthusiasm for data at scale, with strong attention to cleanliness and correctness
  • Comfort translating ambiguous research requirements into robust engineering solutions

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
What we do
We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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