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Remote Manager Biostatistics Jobs (NOW HIRING)

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... Management, Biostatistics, and Study Operations to understand requirements and ensure correct ...

Natera

Director of Biostatistics (R&D)

San Francisco, CA · On-site +1

$193K - $242K/yr

Remote USA $193,600--$242,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ... genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include ...

Apply Early

Natera

Director of Biostatistics (R&D)

$193K - $242K/yr

Remote USA $193,600-$242,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ... genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include ...

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Remote Manager Biostatistics information

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How much do remote manager biostatistics jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote manager biostatistics in the United States is $81,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $116,500.00 per year, depending on experience, location, and employer.

How much do remote biostatistician make?

Remote biostatisticians typically earn between $80,000 and $130,000 annually, depending on experience, education, and the complexity of projects. Senior roles or those with specialized skills in statistical programming and clinical trial analysis can earn higher salaries, often exceeding $150,000. Many remote positions also offer benefits such as flexible schedules and opportunities for professional development.

Do biostatisticians get paid well?

Biostatisticians, including remote managers in the field, typically earn competitive salaries that reflect their advanced statistical skills and expertise in healthcare and research. Salaries often range from $80,000 to over $150,000 annually, depending on experience, education, and industry sector. Remote roles may also offer additional benefits such as flexible schedules and opportunities for professional development.

Can a biostatistician work remotely?

Yes, many biostatisticians, including remote managers in biostatistics, can work remotely, especially with the increasing use of digital tools like statistical software and data management platforms. Remote work arrangements depend on the employer, project requirements, and the need for collaboration or data security protocols.

Is biostatistics in high demand?

Biostatistics is in high demand due to the growth of clinical research, pharmaceuticals, and healthcare data analysis. Remote biostatistics managers with strong statistical skills and experience with tools like SAS or R are increasingly sought after in the industry.

What is the difference between Remote Manager Biostatistics vs Remote Biostatistician?

AspectRemote Manager BiostatisticsRemote Biostatistician
CredentialsMaster's or PhD in Biostatistics, Epidemiology, or related field; often includes management experienceMaster's or PhD in Biostatistics or related field; primarily technical expertise
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsPerforms statistical analyses, develops models, reports findings independently or as part of a team
Employer & Industry UsagePharmaceuticals, biotech, clinical research organizationsPharmaceuticals, biotech, academic research, CROs

The Remote Manager Biostatistics role involves overseeing statistical teams and managing projects, requiring leadership skills and management experience. In contrast, the Remote Biostatistician focuses on performing statistical analyses and developing models, emphasizing technical expertise. Both roles are common in the pharmaceutical and biotech industries, but the manager position includes additional responsibilities related to team and project management.

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Remote Manager Biostatistics jobs near you
Data Scientist

Data Scientist

MM International

New York, NY • Remote

Contractor

Posted 27 days ago

Job description

Title:  Data Scientist

Location:  Remote

Duration 4-6 months

The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.
KEY RESPONSIBILITIES:
The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the studies’ complexity and studies’ development stage:
• Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
• Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
• Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
• Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
• Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
• Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.
Qualifications
Education & Experience
• PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
• Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example:
o PhD: 3+ years
o MS: 5+ years
o BA/BS: 8+ years
Technical – Required
• Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
• Hands-on experience working with clinical trial data.
• Proficiency with Microsoft Word, Excel, and PowerPoint.
Technical – Preferred / Strong Plus
• Experience with RAVE EDC.
• Awareness or working knowledge of CDISC, CDASH, SDTM standards.
• Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.