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Internship Remote Statistical Programmer Jobs in California

Navier

MBA Internship

Alameda, CA · On-site +1

$17 - $22.75/hr

... Engineering). * 3+ years of full-time experience in consulting, venture capital, finance, or a ... Remote-friendly role, with occasional opportunities to engage on-site depending on project needs.

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Experience: 0-2 years of experience in a data analysis role or a related internship. Experience in ...

SynergisticIT

Software Engineer I

Chula Vista, CA · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Recent graduates in Computer Science, Engineering, Math, Statistics, or related STEM fields

SynergisticIT

Software Engineer I

Chula Vista, CA · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Recent graduates in Computer Science, Engineering, Math, Statistics, or related STEM fields

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Internship Remote Statistical Programmer information

What are the key skills and qualifications needed to thrive as an Internship Remote Statistical Programmer, and why are they important?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.

What types of projects and responsibilities can I expect as a remote statistical programming intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What is the difference between Internship Remote Statistical Programmer vs Remote Data Analyst?

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What are the most commonly searched types of Remote Statistical Programmer jobs in California? The most popular types of Remote Statistical Programmer jobs in California are:
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Internship Remote Statistical Programmer jobs near you

Data Scientist (Part-Time | Remote | $100 -$120/hr )

Call For Referral

San Francisco, CA • Remote

$100 - $120/hr

Part-time

Posted 27 days ago

Job description

Data Scientist (Part-Time | Remote | $100 –$120/hr ) This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $100.00/hr - $120.00/hr Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe Data Scientist (AI Task Evaluation & Statistical Analysis Specialist) Hourly Contract | Part-Time Remote | $100 –$120 per hour 1.

About the Role Mercor is partnering with a leading AI research lab to hire experienced Data Scientists specializing in AI task evaluation and statistical analysis . In this role, you will conduct comprehensive failure analysis on AI agent performance across finance-sector tasks — identifying systemic patterns, diagnosing performance bottlenecks, and improving model evaluation frameworks. You'll work closely with AI engineers and research analysts to transform raw evaluation data into actionable insights, strengthening the quality, fairness, and reliability of large-scale AI systems.

2. Key Responsibilities Statistical Failure Analysis: Identify recurring patterns in AI agent failures across task components (prompts, rubrics, file types, tags, etc.). Root Cause Analysis: Determine whether issues stem from task design , rubric clarity , file complexity , or agent limitations .

Dimensional Analysis: Examine performance variations across finance sub-domains , file structures, and evaluation criteria. Visualization & Reporting: Build dashboards and analytical reports that highlight edge cases, performance clusters, and opportunities for improvement. Framework Enhancement: Recommend refinements to rubric design, evaluation metrics, and task structures based on empirical findings.

Stakeholder Communication: Present key insights to data labeling teams, ML engineers, and research collaborators . 3. Required Qualifications Strong foundation in statistical analysis, hypothesis testing, and pattern recognition .

Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Hands‐on experience with exploratory data analysis (EDA) and feature interpretation . Understanding of AI/ML evaluation methodologies and LLM performance metrics .

Skilled in using Excel , SQL , and data visualization tools (e.g., Tableau, Looker). 4. Preferred Qualifications Experience with AI/ML model evaluation or quality assurance pipelines .

Background in finance or interest in learning financial domain structures. Familiarity with benchmark datasets , failure mode analysis , and evaluation frameworks . 2–4 years of relevant professional experience in data science, analytics, or applied statistics.

5. More About the Opportunity Commitment: Part‐time, 20–25 hours/week Schedule: Fully remote and asynchronous — work on your own time Duration: 1–2 months, with strong potential for extension Start Date: Immediate 6. Compensation & Contract Terms Hourly Rate: $100–$120/hour (based on experience and region) Payments: Weekly via Stripe Connect for approved work PS: Mercor reviews applications daily.

Please complete your interview and onboarding steps to be considered for this opportunity. #J-18808-Ljbffr

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