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Research Python Jobs in Philadelphia, PA (NOW HIRING)

Main Line Health

Research Analyst I

Wynnewood, PA · Hybrid

Proficient in statistical software such as R, Stata, or Python * Experience with SQL to extract, collect, or monitor data to create custom datasets for use in research and health system improvement ...

Main Line Health

Research Analyst I

Wynnewood, PA · On-site

Proficient in statistical software such as R, Stata, or Python * Experience with SQL to extract, collect, or monitor data to create custom datasets for use in research and health system improvement ...

Main Line Health

Research Analyst I

Ardmore, PA · On-site

Proficient in statistical software such as R, Stata, or Python * Experience with SQL to extract, collect, or monitor data to create custom datasets for use in research and health system improvement ...

New

Main Line Health

Research Analyst I

Wynnewood, PA · On-site

Proficient in statistical software such as R, Stata, or Python * Experience with SQL to extract, collect, or monitor data to create custom datasets for use in research and health system improvement ...

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Research Python information

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$13

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$87

How much do research python jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for research python in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

What are popular job titles related to Research Python jobs in Philadelphia, PA?

For Research Python jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Philadelphia, PA look for?

The top searched job categories for Research Python jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Research Python jobs?

Cities near Philadelphia, PA with the most Research Python job openings:

Research Python jobs near you
Infographic showing various Research Python job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,040 per year, or $59.2 per hour.

Optimization Research Scientist

Malvern, PA • On-site

Vangard, Inc.
Convention and Trade Show Organizers • 11 - 50 employees
Learn more about Vangard, Inc.external

Full-time

Posted 29 days ago

Job description

Core Responsibilities

  • Partner directly with senior business and investment stakeholders to uncover high-value opportunities, develop + iteratively refine hypotheses, and translate ambiguous questions into structured research problems.
  • Formulate complex business and investment challenges as optimization problems, defining objectives, constraints, tradeoffs, decision variables, and measurable success criteria.
  • Build and evaluate quantitative, statistical, machine learning, simulation, and optimization frameworks that support practical decision-making in real-world investment settings.
  • Work with incomplete, noisy, fragmented, or evolving data to create usable research datasets, document assumptions, and assess the implications of data limitations.
  • Design rigorous evaluation approaches, including out-of-sample testing, simulation, backtesting, sensitivity analysis, robustness testing, and constraint validation.
  • Iterate closely with stakeholders, researchers, data scientists, and engineering partners to refine hypotheses, improve frameworks, and move promising research toward scalable implementation.
  • Communicate findings, tradeoffs, assumptions, and recommendations clearly to business leaders, with a focus on decision impact and actionable next steps.

Qualifications:

  • Experience in applied research, quantitative modeling, optimization, and machine learning, with the ability to independently drive ambiguous research efforts from problem discovery through recommendation.
  • Strong ability to partner directly with senior business stakeholders to uncover high-value opportunities, develop hypotheses, and translate loosely defined questions into rigorous analytical or optimization approaches.
  • Experience formulating complex business or investment problems in terms of objectives, constraints, tradeoffs, decision variables, and measurable outcomes.
  • Strong experience building optimization models to support decision-making in real-world settings, experience with statistical, machine learning, and deep learning is a plus.
  • Comfort working with incomplete, noisy, fragmented, or evolving data, including the ability to make pragmatic assumptions, document limitations, and keep research moving despite imperfect inputs.
  • Experience designing and interpreting evaluation frameworks using out-of-sample testing, simulation, backtesting, sensitivity analysis, or robustness analysis.
  • Proficiency in Python and comfort working in development environments such as SageMaker, Databricks, or similar platforms; familiarity with optimization libraries, solvers, or computational decision frameworks is valuable.
  • Experience with quantitative finance, systematic workflows, or investment management problems is preferred; participation in the CFA program or related financial education is valuable.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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