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Internship Remote Statistical Programmer Jobs in Missouri

Jobgether

$67K - $82K/yr

Oversee and review statistical programming outputs, including analysis datasets, tables, listings ... Flexible working arrangements across EMEA, including remote options. * Opportunity to work on ...

Jobgether

$67K - $82K/yr

Proficiency in statistical programming environments such as SAS or similar tools used in clinical ... Fully remote working model with international collaboration opportunities. * Annual learning and ...

Jobgether

$48.50 - $64/hr

... flexible, remote-first environment. Accountabilities * Deliver technical presentations ... Strong proficiency in Python or other statistical programming languages used for machine learning ...

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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

Sr/Principal Statistician

Jobgether

On-site, Remote

$67K - $82K/yr

Full-time

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr/Principal Statistician based in Netherlands.

This is a senior-level opportunity within a global clinical research environment where statistical expertise directly contributes to the development of life-changing therapies. In this role, you will support clinical trials from protocol design through study completion, ensuring the integrity, quality, and scientific validity of statistical outputs. You will collaborate closely with cross-functional teams including clinical, programming, and regulatory experts, playing a key role in shaping study design and analysis strategies. The position combines technical leadership, hands-on statistical work, and cross-team coordination within a fast-paced, regulated environment. You will also contribute to the development of statistical analysis plans, oversight of deliverables, and interpretation of clinical trial data. This role is ideal for an experienced statistician seeking to influence global drug development programs while mentoring peers and ensuring the highest standards of analytical rigor.

Accountabilities
  • Lead and support statistical activities across the full clinical study lifecycle, from protocol development through Clinical Study Report (CSR) completion.
  • Develop Statistical Analysis Plans (SAPs), including mock tables, listings, and figures, ensuring clarity and alignment with study objectives and regulatory expectations.
  • Contribute to protocol design, randomization strategies, and statistical input for clinical trial documentation and publications.
  • Oversee and review statistical programming outputs, including analysis datasets, tables, listings, and figures for accuracy and compliance with specifications.
  • Collaborate with sponsors and cross-functional teams to ensure robust study design and high-quality statistical deliverables.
  • Coordinate and review the work of other biostatistics and statistical programming team members to ensure consistency and timely delivery.
  • Conduct quality control and verification of study outputs, ensuring alignment with SAPs, protocols, and regulatory standards.
  • Serve as a biostatistics representative on study teams, contributing to project planning, meetings, and cross-functional discussions.
  • Monitor project timelines, manage multiple studies concurrently, and proactively escalate risks or delays when necessary.
  • Support regulatory interactions, data monitoring committees, and integrated analyses when required.
  • Contribute to business development activities, including proposal development, budgeting, and bid defense meetings.
  • Mentor and coach junior biostatistics staff, supporting knowledge sharing and capability development.
Requirements
  • Advanced degree (Master's or PhD) in Statistics, Biostatistics, Mathematics, or a related quantitative field.
  • Extensive experience as a statistician in clinical trials within the pharmaceutical, biotech, or CRO industry.
  • Strong expertise in statistical methodology applied to clinical research, including study design, analysis planning, and interpretation of results.
  • Experience preparing Statistical Analysis Plans (SAPs), clinical trial protocols, and regulatory submission documentation.
  • Proficiency in SAS programming and familiarity with clinical trial data structures, analysis datasets, and reporting outputs.
  • Solid understanding of regulatory guidelines (e.g., ICH) and Good Clinical Practice (GCP) requirements.
  • Experience coordinating cross-functional teams and reviewing the work of statisticians and programmers.
  • Strong organizational and time management skills with the ability to handle multiple complex studies simultaneously.
  • Excellent communication skills with the ability to explain complex statistical concepts to non-statistical stakeholders.
  • Experience contributing to regulatory submissions, DSMB/DMC activities, or integrated analyses is highly desirable.
  • Leadership capabilities with mentoring or team coordination experience preferred.
  • Fluency in English, both written and spoken.
Benefits
  • Competitive compensation package aligned with senior-level expertise in clinical statistics.
  • Flexible working arrangements across EMEA, including remote options.
  • Opportunity to work on global clinical trials contributing to innovative drug development programs.
  • Exposure to regulatory interactions and high-impact clinical research activities.
  • Career development and progression opportunities within a global life sciences environment.
  • Collaborative, science-driven culture with strong cross-functional teamwork.
  • Involvement in high-profile studies spanning multiple therapeutic areas and geographies.
  • Opportunity to mentor and influence the next generation of biostatistics professionals.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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