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Python Chemistry Remote Jobs (NOW HIRING)

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

NobleAI

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

IonQ

Senior Scientist, Quantum Applications

$145K - $191K/yr

... chemistry, optimization, and machine learning * Work with customers and partners to define and ... Demonstrated expertise in Python and/or C++, and experience with Qiskit or similar quantum SDKs

Jobgether

Bachelor's or Master's degree in engineering, physics, biology, chemistry, or a related discipline ... Benefits: * Full-time, remote-based position in Italy, with preference for candidates located in ...

Drug Hunter

Research Associate - Data Curation

$60K - $60K/yr

This role reports to a Scientific Director and is a full time , fully remote position for ... Candidates with a basic understanding of Python for data processing and automation will be ...

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How much do python chemistry remote jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for python chemistry remote in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python Chemistry Remote?

A Python Chemistry Remote job involves using Python programming to solve problems in chemistry, such as data analysis, molecular modeling, or automating laboratory processes, while working from a remote location. Professionals in this role typically collaborate with chemists, researchers, or engineers to develop software tools, analyze chemical data, or simulate chemical processes. These jobs require a strong understanding of both chemistry and Python programming, along with the ability to work independently and communicate effectively in a remote environment.

How do Python Chemistry Remote roles typically collaborate with laboratory-based teams?

In a Python Chemistry remote role, regular collaboration with laboratory-based teams is essential for ensuring that data analysis, modeling, or automation aligns with experimental needs. Communication often happens through video calls, shared digital platforms, and collaborative tools like GitHub or electronic lab notebooks. Remote professionals may be responsible for transforming raw experimental data into actionable insights, developing scripts for automation, or troubleshooting computational workflows, all while staying closely connected with onsite scientists. Regular check-ins and clear documentation help bridge the physical gap and keep projects on track.

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

To thrive as a Python Chemistry Remote professional, you need a strong background in chemistry, proficiency in Python programming, and typically a degree in chemistry, chemical engineering, or a related field. Familiarity with computational chemistry tools like RDKit, Open Babel, or molecular modeling software, as well as experience with data analysis libraries such as NumPy and Pandas, is highly valuable. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These qualifications ensure the ability to develop robust chemical data solutions, collaborate virtually, and drive research or product development efficiently in a remote environment.

What is the difference between Python Chemistry Remote vs Python Data Analyst?

AspectPython Chemistry RemotePython Data Analyst
Required CredentialsBachelor's in Chemistry, Python programming skillsBachelor's in Data Science, Python programming skills
Work EnvironmentRemote, laboratory or research-focusedRemote or office, data analysis and reporting
Industry UsagePharmaceuticals, research institutionsBusiness, finance, marketing
Common Search/ComparisonYesYes

The main difference between Python Chemistry Remote and Python Data Analyst lies in their industry focus and required credentials. Python Chemistry Remote is centered on chemical research and laboratories, requiring chemistry background, while Python Data Analyst focuses on analyzing data across various industries. Both roles utilize Python programming and often support remote work, but their application areas differ significantly.

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What cities are hiring for Python Chemistry Remote jobs?

Cities with the most Python Chemistry Remote job openings:

What states have the most Python Chemistry Remote jobs?

States with the most job openings for Python Chemistry Remote jobs include:

What job categories do people searching Python Chemistry Remote jobs look for?

The top searched job categories for Python Chemistry Remote jobs are:

Python Chemistry Remote jobs near you
Infographic showing various Python Chemistry Remote job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Applications Engineering, Staff Engineer - 16420

Synopsys

Canonsburg, PA • On-site, Remote

$112K/yr

Full-time

Re-posted 25 days ago

Job description

General Information
Job Title
Applications Engineering, Staff Engineer
Job ID
16420
City
Canonsburg
State/Province
Pennsylvania
Date Posted
16-Mar-2026
Job Category
Engineering
Job Subcategory
Applications Engineering
Hire Type
Employee
Remote Eligible
Yes
Base Salary Range: $112000 - $168000
Descriptions & Requirements
Job Description and Requirements
We Are
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
This position can be anywere remote in the US
You Are
You have spent years working with density functional theory, molecular dynamics, or quantum transport calculations, and you know the difference between a simulation that looks good in a paper and one that actually answers the question a materials engineer needs answered on a Tuesday morning.
You have debugged convergence issues at 2 a.m., written Python scripts to wrangle output files that were never meant to be parsed, and explained to a colleague why their bandgap calculation failed without making them feel like they should have known better.
You are comfortable moving between the physics of what a model is doing and the practical reality of how someone in aerospace or semiconductors will actually use it. When a customer says their workflow is not working, you do not just point them to documentation. You dig in, reproduce the issue, and either fix it or escalate it with enough context that the product team can act.
You care about making complex tools accessible. Building a reusable example or writing a clear tutorial is not busywork to you, it is how you multiply your impact. You have worked across time zones, you follow through, and you know when to ask for help before a small problem becomes a big one.
What You'll Be Doing
  • Provide scientific and technical support to customers using QuantumATK for atomistic materials modeling across semiconductors, aerospace, defense, automotive, and energy industries
  • Troubleshoot customer workflows involving DFT, molecular dynamics, quantum transport, and related methods, reproducing issues and delivering clear, actionable solutions
  • Develop application examples, best-practice guides, and reusable Python-based workflows that help customers get results faster
  • Partner with product engineering teams to translate customer feedback, use cases, and technical blockers into roadmap priorities and feature requirements
  • Deliver technical enablement through webinars, training sessions, and direct customer engagements
  • Work closely with sales and field teams to support evaluation projects, proof-of-concept work, and technical discussions with prospective customers
  • Stay current with industry trends and emerging use cases in materials modeling, particularly in aerospace, defense, and semiconductor applications

The Impact You Will Have
  • Accelerate customer time to results by building workflows and examples that solve real problems in advanced materials research and product development
  • Shape the QuantumATK product roadmap by bringing customer voice and technical reality into feature discussions and prioritization decisions
  • Expand adoption of atomistic modeling in industries where simulation-driven materials design is becoming mission-critical
  • Reduce support escalation cycles by creating documentation and examples that preempt common issues and enable customer self-service
  • Strengthen customer retention and satisfaction by being the technical partner who understands both the science and the business context
  • Enable new use cases in extreme environments, coatings, quantum computing, and defense applications by translating cutting-edge research into practical workflows
  • Build a knowledge base and training ecosystem that scales your expertise across a growing global customer base

What You'll Need
  • PhD or Master's degree in physics, chemistry, materials science, or a closely related field with a strong foundation in solid-state physics or quantum chemistry
  • Hands-on experience with atomic-scale materials modeling and simulation methods such as DFT, molecular dynamics, or quantum transport
  • Proficiency in Python for scripting, data analysis, and workflow automation in scientific computing contexts
  • Track record of creating reusable examples, tutorials, or scientific software workflows that others have successfully used
  • Strong written and verbal communication skills in English, with the ability to explain complex technical concepts to both expert and non-expert audiences
  • Experience with training and using machine-learned potentials and AI for materials science is also a strong plus
  • US citizenship is required for this role
  • Experience with QuantumATK, VASP, Quantum ESPRESSO, LAMMPS, or similar atomistic simulation platforms is a strong plus

Who You Are
  • You take ownership of customer issues from first contact to resolution, and you escalate early with context when you hit a wall
  • You can switch from debugging a convergence failure in a phonon calculation to explaining the business value of that calculation to a program manager without losing the thread
  • You bring a constructive, problem-solving mindset to ambiguous situations where the right answer is not obvious and the documentation does not cover the edge case
  • You are comfortable working across time zones with customers and colleagues in Europe, Asia, and the Americas, and you manage your time to stay responsive without burning out
  • You have worked directly with industrial customers, research partners, or cross-functional teams in a technical role, and you understand how to balance scientific rigor with practical delivery timelines
  • You stay curious about new methods, new applications, and new industries where atomistic modeling is starting to matter, especially in aerospace, defense, and emerging quantum technologies

The Team You'll Be Part Of
You will join a global team of customer-facing materials science experts that drives customer success with atomistic modeling and industry-relevant applications. The QuantumATK team works at the intersection of cutting-edge computational physics and real-world materials challenges across semiconductors, aerospace, defense, automotive, and energy sectors. You will collaborate closely with product engineering, sales, and field teams to ensure customers get value from the platform and that their feedback shapes what we build next.
Rewards and Benefits
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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