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Entry Level Python Data Analysis Jobs in Albuquerque, NM

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Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for entry level python data analysis in Albuquerque, NM is $31.92, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $35.67 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Albuquerque, NM? The most popular types of Python Data Analysis jobs in Albuquerque, NM are:
What are popular job titles related to Entry Level Python Data Analysis jobs in Albuquerque, NM? For Entry Level Python Data Analysis jobs in Albuquerque, NM, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Albuquerque, NM look for? The top searched job categories for Entry Level Python Data Analysis jobs in Albuquerque, NM are:
Postdoctoral Fellow

$45K - $62K/yr

Full-time

Posted 22 days ago


Job description

Overview

A Post-Doctoral research position is currently available in the laboratory of Dr. Andrew Mayer at the Mind Research Network in Albuquerque, New Mexico. The Post-Doctoral Fellow will conduct independent research in the field of traumatic brain injury, assist other members in the lab with research projects, and develop novel research methods as needed. The Post-Doctoral fellow will also work directly with research teams within the Mind Research Network as well as with outside collaborators, develop proposals for research funding, present and publish research data, analyze and interpret a variety of preclinical and clinical data, and perform all other related research duties as required or assigned.

Research opportunities include examining the cognitive and neuronal dysfunctions associated with both acute and chronic traumatic brain injury. Ongoing neuroimaging work in the lab include functional MRI (fMRI; task, rest and cerebrovascular reactivity), MRS, structural data, simultaneous real-time fMRI-EEG, neurofeedback and diffusion. Proteomic data analyses and opportunities for data collection are also available. Primary responsibilities will consist of scientific manuscript writing and data analysis. The Post-doctoral researcher will be responsible to select and apply appropriate statistical tests, algorithms, and/or analytic methods. Training in grant writing is available, as well as the opportunity to participate in NIH proposal preparation. The ideal candidate will have a strong background in analytic processing (Linux, Python, R and shell scripting preferred) and neuroimaging software packages (AFNI, FSL).

Post-doctoral fellows at MRN are eligible for full benefits.

To apply, visit www.mrn.org and refer to Job # in the "Jobs" section of the website.  An Affirmative Action/Equal Opportunity Employer - M/F/D/V.  

Qualifications

Requires a Ph.D. or M.D. in a directly related field, and a proven record of peer-reviewed publications including demonstrated first-authorship success in applicable research areas.

The successful candidate will have demonstrated effectiveness and experience working as part of a large research team, as well as success performing independent research projects of varying scope.  This position requires superior professional-level verbal and written communication skills, which are required to effectively perform in the role. Excellent judgment, problem-solving and decision-making skills are also desired. The ideal candidate should have experience with Linux, Python, R and various image analyses software programs (AFNI, FSL and SPM).

Physical Requirements

Work is performed in a dry laboratory environment.  Will operate standard office equipment and will frequently stand, walk, sit, perform desk-based computer tasks, use a telephone, perform repetitive motions and occasionally lift objects that weigh up to 20 pounds.  May interact with research participants.The above is intended to describe the general requirements for the position and should not be interpreted as an exhaustive statement of physical requirements.  The Institute will provide reasonable accommodation to any employee with a disability who requires an accommodation to perform the essential functions of the position.

Salary

Salary is commensurate with experience.

Lovelace Biomedical is an Equal Opportunity Employer

The Mind Research Network is a division of Lovelace dedicated to advancing the diagnosis and treatment of mental illness and brain injury.

Headquartered in Albuquerque, New Mexico, MRN consists of an interdisciplinary association of scientists located at universities, national laboratories and research centers around the world and is focused on imaging technology and its emergence as an integral element of neuroscience investigation.

With an extended community of academicians, researchers, graduate students and technicians, the MRN is uniquely positioned with its national infrastructure to link the brightest minds in neuroscience with some of the most cutting-edge neuroimaging capabilities in the world today.

Employment Type: FULL_TIME