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Sas Python Jobs in California (NOW HIRING)

TecTammina

Senior Hadoop Architect

Pleasanton, CA

... Python/PHP, Chef) Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica, Talend, Pentaho) Hands-on experience with any 1 of analytical tools, languages, or libraries (e.g. SAS ...

TecTammina

Senior Hadoop Architect

Pleasanton, CA

SAS, SPSS, R, Mahout Hands-on experience with BI tools and reporting software ( e.g. Microstrategy ... Java, Linux, Apache, Perl/Python/PHP, Chef ) Hands-on experience with ETL (Extract-Transform-Load ...

TecTammina

Senior Hadoop Architect

Pleasanton, CA

SAS, SPSS, R, Mahout Hands-on experience with BI tools and reporting software ( e.g. Microstrategy ... Java, Linux, Apache, Perl/Python/PHP, Chef ) Hands-on experience with ETL (Extract-Transform-Load ...

Jobsbridge

Hadoop Developer

San Francisco, CA

... Python Experience deploying new Hadoop infrastructure, Hadoop cluster upgrades, and cluster ... SAS, SPSS, R, Mahout) is a plus Qualifications Hadoop Developer, Big Data, HDFS, Hive, Hadoop, AWS ...

Recor Medical

Senior Clinical Programmer

Palo Alto, CA

$145.60K - $156.35K/yr

Proficiency in R, with experience in other relevant programming languages (e.g., Python, SQL, SAS). * Comprehensive understanding of clinical trial processes, data flow, and clinical trial data ...

Comagine Health

Sr. Healthcare Data Analyst

Sacramento, CA · Remote

$93.70K - $118.20K/yr

Advanced coding proficiency in SAS, SQL, R, Python, or similar languages is a must. Key Responsibilities Design and lead analytics for quality improvement, research, and care management projects ...

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How much do sas python jobs pay per hour?

As of May 30, 2026, the average hourly pay for sas python in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a SAS Python job?

A SAS Python job typically involves using both SAS (Statistical Analysis System) and Python for data analysis, statistical modeling, or data engineering tasks. Professionals in this role work with large datasets, performing data manipulation, visualization, and predictive modeling. They often bridge legacy SAS systems with modern Python-based analytics, leveraging libraries like pandas, NumPy, and scikit-learn. These roles are common in industries such as finance, healthcare, and marketing, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Sas Python position, and why are they important?

To thrive in a Sas Python role, candidates need strong programming skills in both SAS and Python, coupled with a background in data analysis, statistics, or a related quantitative field. Familiarity with data visualization tools, SQL databases, and certifications such as SAS Base Programmer or Python programming are commonly expected. Strong analytical thinking, problem-solving, and effective communication skills help professionals explain technical insights to non-technical stakeholders. These abilities are critical for efficiently managing and interpreting large datasets to drive informed business decisions.

What are typical projects or assignments for someone in a Sas Python role?

Professionals in Sas Python positions often work on projects involving data extraction, transformation, and analysis to support business intelligence, reporting, or predictive modeling efforts. Assignments may include writing and optimizing code in SAS to process large datasets, integrating SAS outputs with Python scripts for advanced analytics, or building custom data pipelines and visualizations. Collaboration is frequent with data scientists, business analysts, and IT teams to ensure insights are aligned with organizational goals. This diverse project exposure offers opportunities to continuously expand your skills and make a measurable impact on business outcomes.

Is SAS programming still in demand?

SAS programming remains in demand in industries such as healthcare, finance, and government for data analysis and reporting. Professionals with skills in SAS, along with knowledge of SQL and data management, are sought after for roles involving analytics, compliance, and decision support.
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Sas Python jobs near you
Assistant, Statistical Research Programmer PT, Limited Term

Assistant, Statistical Research Programmer PT, Limited Term

Chapman University

Orange, CA • On-site

$30/hr

Full-time, Part-time

Posted 29 days ago

Chapman University rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

281st of 529 rated colleges and universities

Job description

Posting Details
Position Information
Position Title
Assistant, Statistical Research Programmer PT, Limited Term
Position Type
Limited-Term
Job Number
SA74224
Full or Part Time
part-time 0-19 hours weekly
Fair Labor Standard Act Classification
Non-Exempt
Anticipated Pay Range
$30.00
Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
Position Summary Information
Job Description Summary
The role of the Assistant Statistical Research Programmer is integral in a dynamic multidisciplinary setting, supporting research initiatives encompassing a diverse array of critical subjects, including healthcare and health policy. This position will work closely with the PI and collaborators in creating, managing, and analyzing large and complex data sets.
This position is part-time up of up to19 hours a week.
Responsibilities
  • Work closely with the PI and collaborators in creating, managing, and analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records.
  • Assist faculty and graduate researchers with statistical modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel modeling.
  • Contribute to continuous improvement of departmental data infrastructure and workflow efficiency.
  • Support research projects involving large administrative claims, EHR, survey, or clinical trial data.
  • Collaborate with external collaborators in implementing machine learning algorithms.
  • Perform other duties as assigned.

Required Qualifications
  • Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.Python, SAS, or R for data management and statistical analysis.
  • Exceptional problem-solving abilities with a solid understanding of statistical methods
  • Good, Strong interpersonal and communication skills
  • Ability to produce careful and detail-oriented work
  • Ability to work in a team environment.
  • A minimum of one year of experience in statistical programming with Python, SAS, or R, with a preference for candidates proficient in at least two of the mentioned languages.

Desired Qualifications
  • Master's Degree in related field.
  • A good understanding of statistical methods for geospatial epidemiology (e.g., ArcGIS and
    preferably SaTScan™).
  • Experience in writing and preparing manuscripts for publication.
  • Thorough understanding and knowledge of epidemiological study design.
  • Previous clinical or research training.

Special Instructions to Applicants
Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics. All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law.
Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis.
The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate.
Minimum Number of References
Maximum Number of References

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