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Python Research Assistant Jobs in Massachusetts (NOW HIRING)

GT Bio

Research Assistant

Cambridge, MA · On-site

$21 - $29/hr

GT Biosciences is seeking a highly motivated and dependable Research Associate to join our Platform ... Basic coding or data analysis skills (e.g., Python, R, or Excel for data organization)

Massgeneralbrigham

Research Lab Tech I

Boston, MA · On-site

While performing research, the Research Assistant will also support aspects of laboratory ... or Python a plus). Ability to follow complex protocols accurately and troubleshoot technical ...

Massgeneralbrigham

Research Lab Tech II

Boston, MA · On-site

Job Summary Technical Research Assistant II The Technical Research Assistant II will conduct ... or Python a plus). Ability to follow complex protocols accurately and troubleshoot technical ...

Amherst College

$63K - $65K/yr

The Post-Doctoral Research Assistant (Chemistry) is a full-time, fixed-term (2-year) position. The ... Python-based data analysis packages) - Complete literature review - Contribute to the writing of ...

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Python Research Assistant information

What is the difference between Python Research Assistant vs Data Analyst?

AspectPython Research AssistantData Analyst
Required SkillsPython programming, research methods, data collectionData analysis, visualization, statistical tools
Work EnvironmentResearch labs, academic institutions, research projectsBusiness settings, corporate offices, data-driven departments
Common EmployersUniversities, research institutes, non-profitsCorporations, consulting firms, government agencies

The main difference between a Python Research Assistant and a Data Analyst lies in their focus. Python Research Assistants primarily support research projects using Python for data collection and analysis within academic or research settings. Data Analysts, on the other hand, work in business environments analyzing data to inform decision-making. While both roles require Python skills, Python Research Assistants emphasize research methodologies, whereas Data Analysts focus on business insights and reporting.

Do research assistants get paid a lot?

Research assistants, including those working in Python research roles, typically earn wages that vary based on experience, education, and location. Entry-level positions often pay hourly wages, while more experienced research assistants or those with specialized skills in programming and data analysis can earn higher salaries or stipends, especially in academic or research institutions. Overall, pay is generally moderate and reflects the level of technical expertise required for the role.

Which Python research assistant job is in demand?

Python research assistant roles are in demand across industries such as technology, academia, and healthcare, especially for positions requiring data analysis, machine learning, and scripting skills. These jobs often require proficiency in Python libraries like Pandas, NumPy, and TensorFlow, and may involve working with large datasets or developing algorithms. Demand is higher for roles that combine programming expertise with domain-specific knowledge and strong analytical skills.

What cities in Massachusetts are hiring for Python Research Assistant jobs?

Cities in Massachusetts with the most Python Research Assistant job openings:

Infographic showing various Python Research Assistant job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Temporary Graduate Research Assistant

Worcester, MA • On-site

Worcester Polytech
See more jobs at Worcester Polytechexternal

$21/hr

Part-time

Posted 19 days ago

Job description

JOB TITLE

Temporary Graduate Research Assistant

LOCATION

Worcester

DEPARTMENT NAME

Fire Protection Engineering - JM

DIVISION NAME

Worcester Polytechnic Institute - WPI

JOB DESCRIPTION SUMMARY

We are seeking a highly motivated graduate student to join our research team in the Fire Protection Engineering Department at WPI. The position is focused on developing a Probabilistic Framework for Fire Risk Assessment using fire spread models in FireBench. The role requires a strong background in probabilistic modeling, data analysis, Python programming, and machine learning.

JOB DESCRIPTION

Skills and Experience:

  • Probabilistic Modeling: Experience with Monte Carlo simulation, Bayesian networks, or uncertainty quantification methods.
  • Python Programming: Proficiency in Python for data processing, simulation pipelines, and automation (NumPy, pandas, SciPy, etc.).
  • Machine Learning: Familiarity with ML frameworks (scikit-learn, TensorFlow, or PyTorch) for wildfire risk modeling and pattern recognition.
  • Geospatial Data Analysis: Experience handling large geospatial datasets (e.g., NOAA weather data, LANDFIRE fuel maps, GIS tools).
  • Fire Spread Models: Familiarity with fire behavior modeling tools such as FireBench, FARSITE, or WRF-SFIRE is a plus.
  • Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively.

Required Skills:

  • Python, Machine Learning, Monte Carlo Simulation, GIS/Geospatial Tools
  • Learning Outcomes Ability to Learn Quickly
  • Accuracy, Accurate Listening, Analytical Thinking
  • Collaboration, Communication, Data Analysis, Probabilistic Reasoning
  • Open Minded, Time Management, Verbal Communication

Job Requirements:

  • A current Master's candidate in Computer Science, Data Science, Robotics, Mechanical Engineering, or a related field is required.

Compensation:

Hourly rate is $21.00 based on experience. To apply please submit a cover letter and resume/cv

FLSA STATUS

United States of America (Non-Exempt)

WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status,or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making.It is committed to maintaining a campus environment free of harassment and discrimination.

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