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Sas R Python Entry Level Jobs in New York (NOW HIRING)

Knowledge on SAS & modelling or predictive analysis Qualifications Using analytical programming languages PYSpark, Python, R & SQL, use the above languages\tools & create automated process for data ...

Knowledge on SAS & modelling or predictive analysis Using analytical programming languages PYSpark, Python, R & SQL, use the above languages\tools & create automated process for data gathering ...

Knowledge on SAS & modelling or predictive analysis Using analytical programming languages PYSpark, Python, R & SQL, use the above languages\tools & create automated process for data gathering ...

Data Analyst

Manhattan, NY · On-site

$80K - $90K/yr

Knowledge of statistics and statistical software (e.g., SPSS, SAS). * Experience with programming languages used for data analysis and automation (e.g., R, Python) preferred. * Experience conducting ...

Knowledge of statistics and statistical software (e.g., SPSS, SAS). * Experience with programming languages used for data analysis and automation (e.g., R, Python) preferred. * Experience conducting ...

... SPSS, SAS etc) * Strong analytical skills with the ability to collect, organize, analyze, and ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

Data Analyst

New York, NY · On-site

$66K - $79K/yr

Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data visualization tools. Ability to work independently and collaboratively, manage multiple projects, and ...

Data Analyst

Manhattan, NY · On-site

$66K - $79K/yr

Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data visualization tools. Ability to work independently and collaboratively, manage multiple projects, and ...

Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data visualization tools. Ability to work independently and collaboratively, manage multiple projects, and ...

Showing results 21-40

Sas R Python Entry Level information

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

AspectSas R Python Entry LevelData Analyst
Required SkillsBasic knowledge of SAS, R, Python, data manipulationData analysis, visualization, SQL, Excel
Work EnvironmentData analysis teams, analytics departmentsBusiness units, analytics teams
CertificationsEntry-level certifications in SAS, R, PythonNone mandatory, often preferred certifications in data analysis

Both roles involve data handling and basic programming skills, but Sas R Python Entry Level focuses more on learning specific tools, while Data Analysts often work on broader data interpretation and reporting tasks.

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Infographic showing various Sas R Python Entry Level job openings in New York as of August 2026, with employment types broken down into 25% Internship, 25% Full Time, 25% Part Time, and 25% Temporary. Highlights an 100% In-person job distribution.

Real-World Data Technical Analyst (RWD)

Katalyst Healthcares and Lifesciences

Rahway, NJ • On-site

Other

Posted 6 days ago


Job description

Job Description:
The Observational and Real-World Evidence (CORE) Real-World Data Analytics and Innovation (RDAI) team is seeking a Real-World Data (RWD) Technical Analyst to support real-world evidence generation and oncology outcomes research. This role will work with epidemiologists, biostatisticians, and scientists to conduct analyses using real-world data sources (claims, EHR/EMR, registries) and help develop advanced analytics tools and methodologies that accelerate observational research.
Responsibilities:
  • Conduct feasibility analyses using internal real-world datasets (claims, EHR/EMR) to support oncology outcomes research.
  • Execute end-to-end study analyses using platforms such as RStudio and SAS Studio.
  • Support development and implementation of analytics methods and tools to address confounding in observational healthcare data.
  • Perform targeted literature reviews to support study design and methodology.
  • Develop and maintain programming documentation, code specifications, and version control.
  • Generate analytic outputs and reports supporting real-world evidence studies.
  • Collaborate with cross-functional scientists to translate research questions into reproducible analytic workflows.
Requirements:
  • Experience working with real-world healthcare data (claims, EHR/EMR, registries).
  • Strong understanding of epidemiologic or statistical methods for observational research.
  • Proficiency in R, SAS, and SQL (Python a plus).
  • Experience with R ecosystem tools (RStudio Workbench, RStudio Connect, RShiny).
  • Familiarity with survival analysis methods and packages (e.g., survival).
  • Experience working with databases (e.g., Redshift, MySQL).
  • Experience with version control tools such as Git.
  • Strong documentation, communication, and collaboration skills.
  • Experience supporting life sciences or pharmaceutical research environments.