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Remote Phd Statistics Jobs in Washington, DC (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Otsuka

Associate Director, Biostatistics

Rockville, MD · On-site +1

Remote arrangements can also be considered. Otsuka maintains a hybrid work policy and travel is ... PhD or Master's degree in Statistics or Biostatistics * Minimum 7 years (PhD) or 9 years (Master ...

Emmes

Biostatistician

Rockville, MD · On-site +1

PhD in biostatistics, statistics, epidemiology or related field. * Demonstrated proficiency with ... Remote Employment Type: FULL_TIME

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Remote Phd Statistics information

What is a remote PhD statistician?

Remote PhD statistics jobs are positions that require an advanced degree (PhD) in statistics, allowing professionals to work from home or any location outside a traditional office. These roles typically involve designing statistical models, analyzing complex data sets, and collaborating with research teams or organizations virtually. Common industries hiring for remote PhD statistics jobs include academia, healthcare, pharmaceuticals, tech, and government agencies. The flexibility of remote work enables statisticians to contribute to projects worldwide while maintaining a work-life balance.

What are the key skills and qualifications needed to thrive as a remote PhD statistician?

To thrive as a Remote PhD Statistician, you need advanced statistical knowledge, expertise in data analysis, and a doctoral degree in statistics or a related field. Proficiency in statistical software such as R, SAS, or Python, and experience with data management systems are typically required. Strong problem-solving abilities, self-motivation, and effective written communication are crucial for collaborating remotely and presenting complex findings clearly. These skills ensure rigorous data analysis, reliable insights, and effective contributions to research or business objectives in a remote environment.

What are some common challenges faced by remote PhD statisticians, and how can they be addressed?

Remote PhD statisticians often face challenges such as maintaining clear communication with cross-functional teams, managing time across different time zones, and staying updated with the latest statistical methodologies. These can be addressed by leveraging collaborative tools (like Slack or Zoom), setting regular check-ins with team members, and participating in virtual conferences or workshops. Proactively seeking feedback and documenting work processes also helps ensure alignment and productivity in a remote environment.

What is the difference between Remote Phd Statistics vs Remote Data Scientist?

AspectRemote Phd StatisticsRemote Data Scientist
Required CredentialsPhD in Statistics or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, often academic or industry R&DApplied analytics, product development, business insights
Employer & Industry UsageUniversities, research institutions, biotech, financeTech companies, finance, healthcare, e-commerce
Common Search & ComparisonYesYes

Remote Phd Statistics roles typically involve research, advanced statistical modeling, and theoretical work, often in academic or R&D settings. Remote Data Scientist positions focus on applying data analysis, machine learning, and programming skills to solve practical business problems. While both roles require strong analytical skills, the PhD in Statistics emphasizes research and theory, whereas Data Scientists focus on application and implementation.

What are the most commonly searched types of Phd Statistics jobs in Washington, DC?

The most popular types of Phd Statistics jobs in Washington, DC are:

What are popular job titles related to Remote Phd Statistics jobs in Washington, DC?

For Remote Phd Statistics jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Phd Statistics jobs in Washington, DC look for?

The top searched job categories for Remote Phd Statistics jobs in Washington, DC are:

Remote Phd Statistics jobs near you
Infographic showing various Remote Phd Statistics job openings in Washington, DC as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Temporary. Highlights an 100% Remote job distribution.

Biostatistician Expert - Remote

Washington, DC • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$60 - $70/hr

Full-time

Posted 21 days ago

Job description

Job Title: Biostatistician

Location: Remote
Job Type: Contractor
Pay: $60–$65/hour

Job Overview

We are looking for an experienced Biostatistician to support clinical research projects by analyzing clinical trial data, validating statistical outputs, and ensuring compliance with regulatory standards.

Key Responsibilities

  • Analyze and validate clinical trial data.

  • Review and interpret Statistical Analysis Plans (SAPs).

  • Produce and quality-check Tables, Figures & Listings (TFLs).

  • Review Clinical Study Reports (CSRs) and regulatory submission data.

  • Perform statistical analyses using SAS and/or R.

  • Collaborate with cross-functional teams and document findings accurately.

Required Skills

  • SAS and/or R

  • CDISC SDTM & ADaM

  • SAP interpretation

  • Survival analysis, mixed models, covariate adjustment

  • Multiplicity control & ICH E9(R1)

  • Clinical trial data analysis

  • TFL production & QC

  • Regulatory submissions & CSR review

  • Strong documentation, communication, and analytical skills

Qualifications

  • 5+ years of Biostatistics experience in clinical trials (Sponsor, CRO, or Academic Research).

  • MSc or PhD in Biostatistics, Statistics, or a related field.

  • Experience with regulatory submissions and statistical quality control is preferred.