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Internship Remote Statistical Programmer Jobs in Georgia

Wood Plc

Environmental Statistician

Kennesaw, GA · On-site +1

... engineering field * Well-versed in R, MATLAB, or other similar statistical software, familiarity ... Remote work options available. Company Overview Wood is a global leader in engineering and ...

Autodesk

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Perform statistical analysis and data exploration to generate datasets for model training ...

SynergisticIT

AI / ML Engineer

Atlanta, GA · 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 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.
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Internship Remote Statistical Programmer jobs near you
Environmental Statistician

Environmental Statistician

Wood Plc

Kennesaw, GA • On-site, Remote

Other

Posted 17 days ago

Job description

Overview / Responsibilities

Wood is seeking a Scientist with a Statistics background to join our growing Environmental team and support environmental investigation, remediation, and restoration projects.  This position provides the opportunity for the qualified candidate to work on high profile projects in office or remotely.

Key responsibilities:

  • Prepare sample designs, conduct data analysis and interpretation, and power analyses of environmental data for multi-disciplined project teams
  • Communicate statistical evaluations and results with the project team, client, and/or regulatory agencies (EPA and state agencies). Typical projects will be performed under CERCLA (Superfund) or RCRA administrative orders and/or guidance
  • Develop sampling designs with input from the project team and communication of the sampling design strategy to our clients and the regulators and other stakeholders
  • Compile, analyze, and summarize environmental data, using modern methods for data management and data analytics. Compilation and preparation of datasets will be in collaboration with database managers using EQuIS or other database software
  • Work and travel safely, follow company and site safety standards, learn and practice company codes for ethics and business conduct
  • Grow as a consultant, demonstrating ability to manage multiple projects at one time while building successful client relationships
Skills / Qualifications
  • Minimum of B.S. in statistics, mathematics, or a science or engineering field
  • Well-versed in R, MATLAB, or other similar statistical software, familiarity with USEPA's ProUCL and/or PNNL's Visual Sample Plan
  • At least 5 years of experience with non-normally distributed data and statistical analyses including regressions, t-tests, nonparametric tests, power analyses, multivariate and/or ordination techniques
  • Experience in investigations and/or remediation of sediment, surface water, biotic tissue, air, groundwater, and/or other related topics
  • Statistical analysis of chemicals/wastes (e.g., mercury, pesticides, PCBs, chlorinated organics, LNAPL/DNAPL organics, coal ash, PFAS) and environmental media (e.g., sediment, fish, groundwater, soil, surface water)
  • Strong skills in technical writing, presentations, and communications
  • Attention to detail, organization abilities and strong time-management capabilities required
  • Geospatial statistical skills (e.g., kriging, interpolations, geostatistical simulation) a plus
  • Experience with Bayesian statistics a plus
  • Experience with censored datasets a plus
  • Master's degree or PhD a plus
  • Must pass drug test, physical, background check, and must have a satisfactory driving record in accordance with the Wood's driving policy

Remote work options available.

Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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