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Research Python Jobs in Seattle, WA (NOW HIRING)

Research Scientist III Location: Redmond WA Onsite Duration: 12 months with possible extension ... using Python, LabVIEW, C, or similar languages. 2+ years experience in at least one of the ...

This is an opportunity for students and researchers of advanced data modeling and statistical ... C++, Java, C#, MATLAB, R, Python, or Perl * Strong analytical and quantitative skills

Research Scientist III Location: Redmond WA Onsite Duration: 12 months with possible extension ... using Python, LabVIEW, C, or similar languages. 2+ years experience in at least one of the ...

Primary development will be in Python, with performance-critical components implemented in C++ or ... Personally-directed research (20%) : * Lead or collaborate on independent scientific research ...

Software engineering skills in Python and general-purpose system administration and infrastructure management abilities. History of applied research in the neural network model life cycle, training ...

Research Intern

Seattle, WA · On-site

$21.30 - $30.13/hr

Use software, databases, and programming tools (e.g., R or Python) to organize, manage, analyze, and visualize research data. * Assist with maintaining and optimizing documented data analysis ...

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Research Python information

See Seattle, WA salary details

$15

$66

$98

How much do research python jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for research python in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

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.

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 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 job categories do people searching Research Python jobs in Seattle, WA look for? The top searched job categories for Research Python jobs in Seattle, WA are:
Research Scientist III

Research Scientist III

Infotech Sourcing

Redmond, WA • On-site

Other

Posted 27 days ago


Job description

Research Scientist III

Location: Redmond WA Onsite

Duration: 12 months with possible extension.

.
Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR devices that are so compelling they become an integral part of our lives.
Beyond working within current paradigms to realize our vision, Reality Labs is heavily
invested in materials research and development at the fundamental level. This involves,
but is not limited to, designing and characterizing materials yet to be discovered, for highly
specific applications.
Responsibilities:
The position involves designing, building and automating an established workflow for the experimental screening of organic materials. Built on current in-house processes, this will streamline data acquisition required for the development of novel optoelectronic materials.
Develop next-generation optoelectronic materials with an emphasis on advanced design, fabrication, and analysis, to prove new concepts and understand the potential impact of those concepts.
Collaborate with the larger Meta Reality Labs Research team to holistically understand current goals, limitations, and bottlenecks in the wider AR/VR space.
Build with and develop an intimate understanding of equipment designed for high-throughput experiments.
Design and automate novel crystal growth, processing, and analysis techniques, with a focus on highly specific components and devices.
Communicate results internally and with external partners.
Assist in the translation of research results to practical application in Meta product development.
Minimum Qualifications:
PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
2+ years experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, optoelectronic materials.
2+ years experience, experimental laboratory work (i.e., demonstrated ability to take concepts, adapt them and translate them to the bench-top).
Preferred Qualifications:
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at relevant high-impact journals.
Experience with solid-state analysis: e.g. diffuse reflectance, XRD, spectroscopy, DSC, optical microscopy.
Experience with crystallographic software (e.g. CCDC suite, BGMN, Profex, Olex2).
Experience with HPLC, LC-MS, UV/Vis and/or GC.
Experience working and communicating cross functionally in a team environment.
Experience with crystal growth and related concepts (e.g. supersaturation, nucleation, etc.).

Top 3 must-have

HARD skills:Experience programming hardware interfaces (e.g., serial/I2C/SPI communication, DAQ systems, motion control) using Python, LabVIEW, C, or similar languages.
2+ years experience in at least one of the following areas: chemistry, materials, organic materials, crystallization, nucleation, solid state analysis, optoelectronic materials.
2+ years experience, experimental laboratory work (i.e., demonstrated ability to take concepts, adapt them and translate them to the bench-top).

Good to have skills:

Working with organic crystals - and solubility of compounds
Previous experience with CAD software is asset
Experience with frequent report writing

PhD or Masters in Physics, Chemistry, Optical Science and Engineering, Electrical Engineering, or relevant technical field