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Sas R Python Entry Level Jobs (NOW HIRING)

SAS

Emerging Career Software Developer- RDT

Cary, NC · On-site

... SAS R&D. * Design and develop high quality, testable and scalable software solutions within ... Programming experience in Java, Python, Perl, React, JavaScript, or similar technologies (RESTful ...

SAS

Emerging Career Software Developer- RDT

Cary, NC · On-site +1

... SAS R&D. * Design and develop high quality, testable and scalable software solutions within ... Programming experience in Java, Python, Perl, React, JavaScript, or similar technologies (RESTful ...

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How much do sas r python entry level jobs pay per hour?

As of May 30, 2026, the average hourly pay for sas r python entry level in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

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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Sas R Python Entry Level jobs near you
Biostatistics Internship (EDG-2026032)

Biostatistics Internship (EDG-2026032)

Edgewise Therapeutics

Boulder, CO

$20/hr

Full-time, Internship

Posted 24 days ago

Job description

Biostatistics Internship
About Edgewise Therapeutics:
At Edgewise, we are on a mission to discover new medicines that improve the lives of patients facing serious muscle disease. Our intimate knowledge of muscle biology and biophysics along with our ability to identify and design muscle specific precision small molecules have enabled us to rapidly advance our skeletal muscle and cardiac muscle product candidates into the clinic while also building a robust pre-clinical pipeline. With this focus on therapeutics designed to protect and improve muscle health, our goal is to dramatically enhance the lives of people living with progressive muscle disorders.
We have assembled an experienced and highly motivated leadership team with a strong track record in the biotechnology and pharmaceutical industry to build the leading, global muscle disease biopharmaceutical company. Come join us make a significant difference in the lives of patients!
Position Summary:
The Biostatistics intern will contribute to the development and application of innovative statistical methods for high-dimensional causal inference and machine learning to evaluate the effectiveness of therapeutics on health outcomes in serious skeletal and cardiac muscle diseases. This work will involve the analysis of high-dimensional biological data, with a focus on identifying treatment effects and improving understanding of disease mechanisms through advanced quantitative methods.
Key Responsibilities:
  • Clean, manage, and analyze complex, high-dimensional datasets using programming tools such as SAS, R and Python
  • Apply statistical, causal inference, and machine learning methods to real-world biomedical data
  • Develop reproducible workflows for data processing and analysis
  • Summarize findings through written reports and visualizations
  • Present analytical approaches and results to interdisciplinary team members
  • Review and summarize relevant scientific literature to inform ongoing research
  • Collaborate with team members on research design, methodology, and interpretation of results
  • Read, understand, and comply with all workplace health and safety policies; safe work practices; and company policies and procedures.
  • Perform other duties as assigned by supervisor.
Requirements:
Education, Experience, Skills:
  • Currently enrolled in a Doctorate program in Biostatistics, Statistics, Data Science, or a related quantitative field
  • Proficiency in programming languages such as SAS, R and/or Python
  • Strong foundation in statistical methods and data analysis
  • Experience or familiarity with causal inference methods
  • Experience or interest in machine learning methods, particularly for high-dimensional data
  • Ability to work with complex and large-scale datasets
  • Strong problem-solving and analytical skills
  • Effective written and verbal communication skills
  • Ability to work both independently and collaboratively in a team environment
  • Prior experience analyzing biomedical or high-dimensional datasets
  • Coursework or research experience in biostatistics, statistics, data science, or related field
  • Familiarity with causal inference frameworks and/or machine learning methods
  • Experience with data visualization and scientific reporting
Candidate must be located in Colorado.

Salary range: $20/hour; internship runs for 8-10 weeks
There is no deadline because the employer accepts applications on an ongoing basis.
Edgewise does not accept resumes from recruitment agencies for this position. Please do not send resumes to Edgewise employees or the company location. Edgewise is not responsible for any fees related to unsolicited resumes.

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