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Internship Remote Statistical Programmer Jobs in California

Tennis Data Scientist

San Francisco, CA ยท On-site +1

$135K - $190K/yr

... is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical ... Adhere to software engineering best practices and contribute to shared code repositories.

Proven ability to work effectively with remote fabs and crosssite teams Preferred Qualifications ... Apply SPC, process capability analysis (Cp/Cpk), and statistical methods to monitor and improve ...

Data Science Intern

Palo Alto, CA ยท On-site +1

$28.27 - $60/hr

... math/statistics, relevant internship experience is a plus * A passion for applying mathematical ... Proficiency in programming languages such as Python, SQL, or related languages. Location State(s ...

... and statistical modeling frameworks from scratch. They can assist with optimizing the different ... This position is 100% remote Responsibilities: * Design, prototype, implement, evaluate, optimize ...

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Internship Remote Statistical Programmer information

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 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 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 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:
What cities in California are hiring for Internship Remote Statistical Programmer jobs? Cities in California with the most Internship Remote Statistical Programmer job openings:
Lead Data Scientist (AI/ML)

Lead Data Scientist (AI/ML)

GatherUp

Walnut Creek, CA โ€ข On-site, Remote

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

About GatherUp

Customers don't window shop anymore. They search, compare, and decide online.

GatherUp helps elevate honest businesses in local search, ensuring these businesses show up, stand out, and win by strengthening their online presence leveraging reviews and customer experience feedback. Our AI-powered platform transforms customer signals into trust, visibility, and growth.

GatherUp is owned by Insight Integrity, a holding company focused on trust technology and digital integrity. Its portfolio includes The Transparency Company, an AI-powered review verification and protection platform, and GatherUp.

Mission

As Lead Data Scientist at GatherUp, you'll own the design and development of AI/ML models that help shape the integrity of online commerce for local businesses.

This is a high-impact, hands-on role at the intersection of NLP, machine learning, and generative AI. You'll partner closely with engineering, product, and business stakeholders to build systems that help accomplish our mission, vision and business objectives.

What You'll Do
  • Build AI/ML solutions end-to-end: design, data preparation, feature engineering, model selection, finetuning, training, deploying, validation/testing, and performance analysis
  • Ensure models are scalable, monitored, and continuously improved in production
  • Create reproducible training and evaluation pipelines (versioning, experiment tracking, robust validation, clear documentation).
  • Use behavioral, textual, and statistical signals to identify, monitor and detect anomalies and emerging patterns in data
  • Apply NLP techniques to analyze unstructured text and surface patterns at scale
  • Conduct exploratory research and data analysis to identify trends
  • Partner with engineering, product, and business teams to translate requirements into product
  • Communicate model behavior, trade-offs, and impact clearly to both technical and non-technical audiences
What Success Looks Like
  • Models are deployed, monitored, and demonstrably improving over time
  • Capabilities scale with business growth and adapt to new threat vectors
  • You've established data science best practices that raise the bar for the whole team
Who You Are
  • 3+ years of experience in data science, machine learning, or a related field
  • Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts
  • Proven track record of building and deploying ML models in production environments
  • Strong experience with NLP and unstructured text data
  • Proficiency in Python and SQL
  • Experience training NLP models using ML frameworks and architectures such as PyTorch and RoBERTa
  • Experience fine-tuning LLMs for production use cases
  • Experience building and deploying RAG pipelines
  • Ability to communicate complex model behavior to non-technical stakeholders
  • Strong ownership mindset โ€” you drive projects end-to-end and hold yourself accountable to outcomes
  • Bonus points if you have: a Master's degree in a quantitative discipline (e.g. Data Science, Computer Science, Statistics, Engineering, or related); experience in and passion for fraud detection, trust & safety, or review/content integrity
Why GatherUp
  • Your work directly supports the economic prosperity of local businesses and the future of local commerce
  • Clear expectations, real ownership, and performance-based upside
  • A fast-moving team where strong execution is recognized and rewarded
What We Offer
  • Competitive Compensation: $140Kโ€“$180K (base salary + bonus) + Equity
  • Full Benefits: 100% covered medical, dental, and vision for employee
  • 401(k) Program: Invest in your future
  • Flexible vacation policy
  • Annual L&D stipend and continuous training and development opportunities
  • Company laptop provided
Location
  • We have an office in Walnut Creek, CA
  • We are a remote-friendly company for the right candidate