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Remote Phd Statistics Jobs (NOW HIRING)

Nexpro Technologies Inc

Biostatistician - REMOTE

OR · Remote

$60 - $65/hr

Ideal candidate is a PhD in Statistics/Biostatistics, equivalent or Masters in Statistics/Biostatistics or equivalent quantitative discipline with 2-3 years of directly relevant experience. Strong ...

Nexpro Technologies Inc

Biostatistician - REMOTE

OR · Remote

$60 - $65/hr

Ideal candidate is a PhD in Statistics/Biostatistics, equivalent or Masters in Statistics/Biostatistics or equivalent quantitative discipline with 2-3 years of directly relevant experience. Strong ...

Elder Research

Data Analyst (Remote)

Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations ... A PhD may be substituted for experience. * Knowledge of data mining methods, databases, data ...

Elder Research

Data Analyst (Remote)

Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations ... A PhD may be substituted for experience. * Knowledge of data mining methods, databases, data ...

Geisinger

Biostatistician

Danville, PA · On-site +1

... size and statistical power Developing analysis plans Designing data collection methods and ... This position has the potential to be remote. Work is typically performed in an office or remote ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... Qualifications Education & Experience • PhD, MS, or BA/BS in statistics, biostatistics, computer ...

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Remote Phd Statistics information

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 are the key skills and qualifications needed to thrive as a Remote PhD Statistician, and why are they important?

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 remote PhD statistics jobs?

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 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.

More about Remote Phd Statistics jobs
What cities are hiring for Remote Phd Statistics jobs? Cities with the most Remote Phd Statistics job openings:
What are the most commonly searched types of Phd Statistics jobs? The most popular types of Phd Statistics jobs are:
What states have the most Remote Phd Statistics jobs? States with the most job openings for Remote Phd Statistics jobs include:
What job categories do people searching Remote Phd Statistics jobs look for? The top searched job categories for Remote Phd Statistics jobs are:
Remote Phd Statistics jobs near you
Infographic showing various Remote Phd Statistics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution.
Biostatistics Sr. manager

Biostatistics Sr. manager

Advanced Bio-Logic Solutions Corp

Thousand Oaks, CA • Remote

$55 - $64/hr

Other

Posted 18 days ago

Job description

Location: Remote - Thousand Oaks, CA

Employment Type: Contingent Worker (Contract, W2)

Contract Length: 12 months (possible extension)

Compensation: $55/$64 per hour (based on experience)

Summary of the Role

Join a big biopharma leader as a Biostatistics Sr Mgr to drive advanced clinical data analytics and AI initiatives. Collaborate with cross-functional teams to develop analytical tools, automate workflows, and generate actionable insights from complex datasets in support of clinical research and development. This role is fully remote and offers exposure to cutting-edge analytical approaches in a fast-moving industry.

Key Responsibilities
  • Develop, maintain, and enhance analytical tools, applications, dashboards, and reporting solutions using R, R Shiny, and/or Python
  • Design and implement data analysis workflows, automated reporting pipelines, and AI-enabled solutions to support clinical analytics and decision-making
  • Build interactive visualizations and dashboards for data exploration, monitoring, and communication of insights
  • Perform data quality assessments, validation, monitoring, and reconciliation activities to ensure data integrity and reliability
  • Apply statistical methods, machine learning, and AI techniques to analyze complex datasets and address scientific and business challenges
  • Collaborate with statisticians, data scientists, statistical programmers, software developers, and business stakeholders to deliver innovative analytical solutions
  • Identify and implement process improvements, automation opportunities, and emerging technologies to enhance efficiency, scalability, and reproducibility
  • Ensure compliance with applicable regulatory requirements, industry standards, and internal quality processes
  • Document analytical methods, tools, workflows, and best practices according to organizational standards
  • Stay current with emerging analytical methodologies, AI technologies, and industry best practices
Required Experience & Skills
  • 6+ years of relevant industry experience with a Master's degree, 4+ years with a PhD, or 10+ years with a Bachelor's degree
  • Proven experience applying statistical methods to clinical development, clinical research, healthcare, or related data
  • Strong programming skills in R and/or Python, including experience developing analytical tools and applications
  • Experience with R Shiny and/or other interactive reporting and visualization platforms
  • Knowledge of statistical modeling, exploratory data analysis, and data quality methodologies
  • Experience designing automated data analysis workflows and reporting solutions
  • Experience applying machine learning and AI techniques to real-world analytical problems
  • Proficiency in data manipulation, data wrangling, and workflow automation
  • Familiarity with version control systems (e.g., Git) and software development best practices
  • Strong analytical, problem-solving, communication, and collaboration skills
Preferred Qualifications
  • PhD in Statistics, Biostatistics, Computer Science, Mathematics, or a related quantitative field
  • Experience in the pharmaceutical, biotechnology, healthcare, or clinical research industry
  • Knowledge of clinical trial data standards and regulatory requirements, including CDISC SDTM and ADaM
  • Experience building scalable analytics platforms, AI-enabled tools, automated reporting systems, or decision-support solutions
  • Understanding of drug development processes and the clinical development lifecycle
Top 3 Must Have Skills

1. Programming skills (R/R Shiny)

2. Clinical statistical knowledge

3. Experience with AI tools (specifically integrating AI assistance into R Shiny applications)

Day-to-Day Responsibilities
  • Develop and maintain analytical tools, dashboards, and reporting solutions with R, R Shiny, and Python
  • Build and implement automated data analysis workflows and AI-enabled clinical analytics solutions
  • Perform data quality assessments and apply advanced analytics to clinical development datasets
  • Collaborate with various technical and business stakeholders to deliver innovative solutions
  • Document procedures and stay updated on analytical methodologies and AI trends
Basic Qualifications
  • Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, or a related quantitative field

This posting is for Contingent Worker, not an FTE

Advanced Bio-Logic Solutions logo

About Advanced Bio-Logic Solutions

Sourced by ZipRecruiter

At ABL, we combine our 15 years of staffing experience with our excellent relationships with top-rated companies to find you the perfect career fit. Our long-term client relationships allow us to find and facilitate rewarding engagements for our employees. You can count on ABL to deliver the right career match, whether you are looking for a consulting assignment or a permanent position. In the field of technology, there are many options that might interest a potential consultant. Whether you specialize in software development, design, analysis or support, we have technology career opportunities in the following areas:

Industry

Biotechnology research and development

Company size

1 - 10 Employees

Headquarters location

Westlake Village, CA, US

Year founded

2002

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