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Sas R Python Internship information

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$9

$63

$91

How much do sas r python internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for sas r python internship in San Francisco, CA is $63.76, according to ZipRecruiter salary data. Most workers in this role earn between $59.47 and $70.53 per hour, depending on experience, location, and employer.

What is a SAS R Python Internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

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

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.
What cities near San Francisco, CA are hiring for Sas R Python Internship jobs? Cities near San Francisco, CA with the most Sas R Python Internship job openings:
Sas R Python Internship jobs near you
Associate Director/Senior Manager, Data Science (Statistical Programming)

Associate Director/Senior Manager, Data Science (Statistical Programming)

Alumis

South San Francisco, CA • On-site

Full-time

Medical, PTO

Posted 7 days ago

Job description

Alumis Inc. is a precision medicines company with the mission to transform the lives of patients with autoimmune diseases. Even with treatment innovations of the last two decades, many patients with immunologic conditions continue to suffer - our goal is to fundamentally change the outcomes for these patients.
Alumis Inc is a precision medicines company with the mission to transform the lives of patients with autoimmune diseases. Even with treatment innovations of the last two decades, many patients with immunologic conditions continue to suffer - our goal is to fundamentally change the outcomes for these patients.
We are seeking a Data Science leader within Statistical Programming to advance analytical insights across clinical development while supporting high-quality, submission-ready deliverables. You will employ modern data science methods and tools such as machine learning, generative AI, and agentic AI to strengthen statistical programming and elevate analytical insight generation. You will contribute to both clinical data science (enhancing analyses, insights, and submissions) and operational/enterprise analytics (improving efficiency, scalability, and decision-making across Biometrics).
Depending on level, this individual will operate as a hands-on study/program contributor (Senior Manager) or a program-level leader influencing strategy and cross-functional execution (Associate Director).
Essential Responsibilities
Clinical Evidence Generation, Analytical Insights, and Regulatory Engagement
  • Develop and deliver data science analyses to support clinical development, regulatory submissions, publications, and exploratory analyses.
  • Partner with Biostatistics to support innovative analyses (e.g., simulations, external controls, RWE integration, predictive analytics using ML/GenAI models).
  • Ensure alignment between exploratory analytics and CDISC-based submission deliverables; maintain documentation for inspection readiness.
  • Support analysis of emerging data types (e.g., biomarkers, digital endpoints, real-world data, text, imaging), ensuring interpretability and quality.
  • Contribute to responses to regulatory queries and preparation of submission materials involving advanced analytics.
Technical Execution & Innovation
  • Develop and maintain analysis workflows using SAS and/or open-source tools (R/Python), balancing innovation with compliance.
  • Build reusable tools, macros, templates and pipelines to improve efficiency, reproducibility, and scalability.
  • Contribute to reproducible analysis pipelines (e.g., version control, data engineering and pipeline automation).
  • Support development of dashboards and visualizations (e.g., Shiny, Plotly) to communicate insights effectively.
  • Apply data science methods to improve study execution and operational insights (e.g., enrollment trends, data quality signals, feasibility).
Cross-Functional Collaboration
  • Partner with Biostatistics, Data Management, Clinical Operations, and other stakeholders to support study and program deliverables.
  • Participate in the review of key study documents (e.g., SAPs, CRFs, DMPs, database specifications) for programming and analysis alignment.
  • Serve as a point of contact for programming and data science activities with internal teams and CRO partners.
  • Translate analytical outputs into clear, actionable insights for both technical and non-technical audiences.
Process, Quality, & Compliance
  • Ensure all programming and data science deliverables meet regulatory, industry, and company standards (e.g., CDISC, GxP, 21 CFR Part 11).
  • Contribute to the development and continuous improvement of programming and data science standards, processes, and SOPs.
  • Stay current on evolving regulatory movement related to data science, AI/ML, and analytics in drug development.
Leadership and Scope Differentiation
  • Senior Manager:
    • Lead data science activities at the study level; operate as a hands-on contributor delivering analyses and tools.
  • Associate Director:
    • Provide program-level oversight across multiple studies; influence data science strategy and cross-functional alignment.
    • Contribute to shaping data science standards, tools, and longer-term capabilities within Statistical Programming.
    • Mentor junior team members and guide CRO partners.
The Ideal Candidate
  • Strong experience in SAS, R or Python for data analysis and visualization.
  • Experience in Data Science methods and tools: Machine Learning models and model development lifecycle, GenAI/Agentic AI application development as a plus
  • Experience supporting clinical development and regulatory submissions in a pharma/biotech or CRO setting.
  • Hands-on experience with CDISC standards (SDTM, ADaM) and integration with exploratory analytics.
  • Experience working with diverse data types (clinical, biomarker, or real-world data) and data engineering pipeline development.
  • Experience with reproducible research practices (e.g., version control, structured workflows).
  • Ability to analyze complex datasets and translate findings into actionable insights.
  • Strong communication and collaboration skills across technical and non-technical stakeholders.
  • Detail-oriented with a strong commitment to quality and accuracy.
  • Therapeutic experience in autoimmune/immunology is a plus.
In addition, for Associate Director level:
  • Experience influencing program-level strategy across multiple studies or indications.
  • Demonstrated ability to drive cross-functional alignment and contribute to analytical strategy.
  • Experience mentoring team members and overseeing CRO/vendor deliverables.
  • Exposure to advanced analytics approaches (e.g., causal inference, simulations, RWE integration) in a regulated environment.
Education & Experience
  • Senior Manager:
    • Bachelor's degree (or equivalent) with 8+ years of experience, or Master's with 6+ years
  • Associate Director:
    • Bachelor's degree (or equivalent) with 10+ years of experience, or Master's with 8+ years

This role is located in South San Francisco, CA, with an on-site presence expected Tuesday through Thursday. Remote candidates may remain off-site but should be willing to travel regularly for team collaboration.
Alumis Inc. is an equal opportunity employer.
The salary range for this position is Senior Manager: $180,000 - $200,000 annually and Associate Director: $200,000 - $220,000 annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.
Alumis compensation packages include generous stock option grants for all employees as well as an annual bonus program.
Other benefits include:
  • Health insurance premiums paid at 90% for employee, 80% for dependents
  • Free access to Genentech Bus & Ferry Share program
  • $100 monthly cell phone stipend
  • Unlimited PTO for Exempt employees
  • Free onsite gym and a kitchen stocked with yummy snacks and drinks!

We are a hard-working, collaborative team on a mission to transform patient's lives-- and we aspire to elevate, challenge and nurture one another along the way.

Apply