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Online Python Programming Jobs in New Mexico (NOW HIRING)

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Online Python Programming information

See New Mexico salary details

$26.5K

$108.6K

$167.8K

How much do online python programming jobs pay per year?

As of Sep 10, 2026, the average yearly pay for online python programming in New Mexico is $108,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $129,700.00 per year, depending on experience, location, and employer.

What is online Python programming?

Online Python programming refers to the practice of coding, running, and debugging Python programs through web-based platforms or cloud environments, rather than using local software on your computer. This allows users to write and execute Python code from anywhere with an internet connection, often leveraging collaborative tools, pre-configured environments, and integrated resources. Many platforms also offer interactive tutorials, code sharing, and project management features, making it easier to learn and work with Python online.

What are the key skills and qualifications needed to thrive as an online Python programmer?

To excel as an Online Python Programmer, you need strong proficiency in Python programming, a solid understanding of algorithms, and experience with web frameworks or data libraries, often supported by a relevant degree or coding certifications. Familiarity with tools like Git, Jupyter Notebook, Django, Flask, and cloud platforms is commonly required. Exceptional problem-solving abilities, clear communication, and self-motivation are vital soft skills for remote collaboration and independent work. These capabilities ensure high-quality, maintainable code and effective teamwork in virtual environments.

What are some typical challenges faced by online Python programming instructors, and how can I prepare for them?

Online Python programming instructors often encounter challenges such as engaging students remotely, adapting teaching materials for virtual platforms, and addressing a wide range of experience levels. To prepare, it's helpful to develop interactive lesson plans, utilize screen-sharing and collaborative coding tools, and set clear communication channels for student support. Staying organized and proactive in providing feedback can also help ensure students remain motivated and on track throughout the course.

What is the difference between Online Python Programming vs Data Analyst?

AspectOnline Python ProgrammingData Analyst
Required SkillsPython, coding, problem-solvingData interpretation, Excel, SQL, Python (optional)
Work EnvironmentOnline, remote, self-paced learningOffice or remote, data-focused tasks
Industry UsageProgramming, software development, automationBusiness, finance, marketing, research

Online Python Programming primarily involves learning and practicing Python coding skills, often in a self-paced online setting. Data Analysts use Python as a tool to analyze data, but their role also includes interpreting data insights and reporting. While both roles may overlap in Python skills, Online Python Programming focuses on coding proficiency, whereas Data Analysts focus on data-driven decision-making.

Are online Python programmers still in demand?

Online Python programmers are still in high demand due to Python's versatility in web development, data analysis, machine learning, and automation. Employers seek professionals with strong coding skills, experience with frameworks like Django or Flask, and knowledge of libraries such as Pandas or TensorFlow. The role often requires proficiency in version control and problem-solving skills, making it a valuable skill set in the current job market.

Can I get an online job after learning Python?

Online Python programming skills can qualify you for remote jobs such as software developer, data analyst, or automation engineer. Employers often look for proficiency in Python, problem-solving, and familiarity with tools like Git and cloud platforms, which can be gained through online courses and projects.

Which online Python programming job is in demand?

Online Python programming jobs in demand include roles such as software developer, data analyst, and machine learning engineer. These positions often require proficiency in frameworks like Django or Flask, and knowledge of data analysis libraries such as Pandas and NumPy. Demand is high in industries like technology, finance, and healthcare, with remote work opportunities increasing for Python developers.

What are the most commonly searched types of Python Programming jobs in New Mexico?

The most popular types of Python Programming jobs in New Mexico are:

What are popular job titles related to Online Python Programming jobs in New Mexico?

For Online Python Programming jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Online Python Programming jobs in New Mexico look for?

The top searched job categories for Online Python Programming jobs in New Mexico are:

Infographic showing various Online Python Programming job openings in New Mexico as of August 2026, with employment types broken down into 63% Full Time, 33% Part Time, 2% Temporary, and 2% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $108,599 per year, or $52.2 per hour.

Postdoctoral Research Associate in Computational Chemistry and Data Science

Los Alamos, NM • On-site

Los Alamos National Laboratory
Scientific Research and Development Services • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 121 rated laboratories


Job description

Description
Job Title Postdoctoral Research Associate in Computational Chemistry and Data Science
Location Los Alamos, NM, US
Organization Name T-DO/THEORETICAL
Minimum Salary
Maximum Salary
What You Will Do
The Physics and Chemistry of Materials group and the Quantum and Condensed Matter Physics groups in the Theoretical Division at Los Alamos National Laboratory invite applications for an immediate postdoctoral opening in computational chemistry and data science. The successful candidate will work at the exciting intersection of computational chemistry, machine learning, and kinetic simulations to advance materials design and deepen mechanistic understanding of chemical processes. This opportunity offers the chance to join a vibrant, multidisciplinary research environment that brings together leading theoretical, computational, and experimental expertise to address fundamental scientific questions with real-world applications.
What You Need
Minimum Job Requirements:
Education/Experience : Ph.D. in either theoretical/computational Chemistry, Physics, Physical Chemistry, or related area completed within the last 5 years or to be completed this summer/fall.
Clearance: The selected candidate must be a U.S. citizen and have the ability to obtain and maintain a DOE Q clearance.
The successful candidate should have:
  • Strong knowledge and demonstrated experience in electronic-structure calculations and/or data science/machine leaning as supported by an excellent record of scientific publications.
  • Experience with chemical thermodynamics and kinetics calculations, or computational chemistry for materials design.
  • Experience programming in high-level languages, particularly Python, and experience working in high-performance computing environments.
  • Ability to work creatively and independently while learning from and collaborating with experts as part of a multidisciplinary team.
  • Strong communication and writing skills, as demonstrated by publications, cover letter, and interview.

Desired Qualifications:
In addition to the minimum requirements, the following qualifications are desired, and preference will be given to candidates satisfying ( at least one ) of them:
  • Experience in chemical kinetics codes such as Cantera or RMG, or in running electronic structure calculations using Gaussian 16 code and/or VASP code.
  • Experience in performing high-throughput calculations using high-throughput frameworks (e.g., pyiron, aflow, or pymatgen, etc) and/or using cheminformatics tools (e.g., RDKit).
  • Experience in machine learning for materials discovery including the use of, e.g., Pytorch, Tensorflow, JAX, and machine learning packages for molecular systems (e.g., Chemprop).
  • Experience with high-performance computing, GPU programming, parallel programming, and related paradigms.
  • Willingness to work productively on multiple projects.

Work Environment:
Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
Contact one of the project members with questions about this position:
  • Ivana (née Matanovic) Gonzales (ivana@lanl.gov)
  • Wilton Kort-Kamp (kortkamp@lanl.gov)
  • Alex Munoz (alexmunoz@lanl.gov)

To start your application, please upload
  • CV with full publication list
  • a brief statement of research interests and future plans (maximum of one page),
  • the contacts of at least three references.

Review of applications will begin immediately and will continue until the position is filled. The position has an initial appointment of 2 years, with a possible extension for a 3rd year depending on performance and availability of funds.
Candidates may be considered for a fellowship supported by the Center for Nonlinear Studies (CNLS). Outstanding candidates may be considered for a Director's Postdoc Fellowship or for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
Additional information on salary ranges and other benefits can be found online at https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php?source=globalheadernav .
For more information about the Postdoc Program, go to https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in Northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)

Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Incentive Compensation Program: For general program information refer to the Student Programs web page: https://www.lanl.gov/careers/career-options/student-internships/index.php
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by applicable federal, state and local laws and regulations.
The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request a disability accommodation, email applyhelp@lanl.gov or call (505) 664-6947, opt. 3.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage .
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important : Enter the validation code within 15 days to activate your account or your account will be deactivated.

Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip : To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.
Employment Status Full Time
Appointment Type Postdoc
Postdoc

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