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Research Python Jobs in Boston, MA (NOW HIRING)

Research Assistant I

Boston, MA · Hybrid

$21 - $29.01/hr

The Research Assistant will work under the supervision of Dr. Bhupathiraju and will focus on high ... Conduct statistical and multivariable analyses inR and/or Python, including: * Data preprocessing ...

Will also conduct research on various implementation aspects of investment strategies such as ... Strong programming skills analyzing large and complex data with statistical tools (Python preferred)

Research involves developing and implementing material models to predict microstructure, phase ... Knowledge of commercial FEA package Abaqus and the programming language Python. * The successful ...

Research Technician

Boston, MA · On-site

$24.90 - $28.90/hr

Research topics include structural analysis of virus entry, viral evolution, viral oncogenes ... Making mesoscale and high-throughput measurements python programming and machine learning

Research Technician

Boston, MA · On-site

$20.90 - $28.90/hr

Research topics include structural analysis of virus entry, viral evolution, viral oncogenes ... Making mesoscale and high-throughput measurements python programming and machine learning

Research Technician

Boston, MA · On-site

$20.90 - $28.90/hr

... Python), and help maintain lab operations and regulatory compliance. This role offers substantial ... Conducts bench research experiments following appropriate protocols and procedures to achieve ...

Research Technician

Boston, MA · On-site

$24.90 - $28.90/hr

... Python), and help maintain lab operations and regulatory compliance. This role offers substantial ... Conducts bench research experiments following appropriate protocols and procedures to achieve ...

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Research Python information

See Boston, MA salary details

$14

$63

$93

How much do research python jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for research python in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 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.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong support for data analysis, machine learning, and scientific computing. It is widely adopted in academia and industry for research projects, often complemented by tools like Jupyter notebooks and frameworks such as NumPy and pandas.

What Python jobs are in demand?

Python development roles such as data scientist, machine learning engineer, backend developer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis libraries, and proficiency in cloud platforms. Demand is driven by industries including technology, finance, healthcare, and e-commerce, with many roles requiring strong problem-solving skills and experience with version control tools like Git.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications and tools, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency and handling repetitive tasks, but human oversight remains essential for quality and innovation.

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.

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

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.

Is Python still in demand in 2026?

Python remains a highly in-demand skill for research roles, including those involving data analysis, machine learning, and automation. Its versatility, extensive libraries, and widespread use in industry and academia ensure continued demand for professionals proficient in Python in 2026.

Full Stack Python Engineer, Senior Associate

JPMorganChase

Boston, MA • On-site

Full-time

Posted 23 days ago


Job description

Job Summary:
JPMorganChase, through its subsidiary 55ip, is at the forefront of wealth and asset management technology. The role involves developing high-performance cloud-based web application solutions for quantitative research capabilities, collaborating with teams to deliver quality software solutions.
Responsibilities:
• Build high-performance cloud-based web application solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms
• Produce & maintain architectural & workflow diagrams.
• Work with product managers to set team priorities and deliverables.
• Participate in hands-on development to expedite finding resolutions.
• Participate in agile development team practices.
• Accountable for highest code quality, best practices, and standards.
• Perform code reviews ensuring quality meets the highest level of standards.
• Provide support during testing and post go-live to internal stakeholders.
• Work closely with quantitative researchers & developers to understand business requirements
• Collaborate with technology teams, to share common practices and develop firm-wide solutions of highest quality & scale.
Qualifications:
Required:
• Proficiency in Python, Pandas, Polars, GitHub/Bit-Bucket, Jenkins, Jira, and PostgreSQL.
• Strong experience with AWS cloud services, such as EC2, EKS, RDS, ElastiCache, S3, Lambda, Secrets Manager, CloudWatch
• Experience with Django, Redis, and React
• Clear understanding of OOP and software design constructs within a Python context.
• Strong understanding and experience in all aspects of software development lifecycle
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
• 6 years of experience in relevant software development
• Bachelor's degree (or equivalent) in Computer, Electronic or IT Engineering.
• Excellent communication (written and oral) and presentation skills.
• Ability to work with quant researchers, developers, and portfolio analysts to understand requirements.
• Strong attention to detail, pride in delivering high quality work and willingness to learn
Preferred:
• Experience with Terraform
• AWS certifications
• Exposure to financial capital markets data and trading applications, working with investment data
• Experience with project workflow tools such as Jira in an Agile-Scrum environment
• Knowledge of Linux
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.