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Part Time Remote Rn Data Abstractor Jobs in Worcester, MA

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Part Time Remote Rn Data Abstractor information

See Worcester, MA salary details

$7

$42

$71

How much do part time remote rn data abstractor jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for part time remote rn data abstractor in Worcester, MA is $42.15, according to ZipRecruiter salary data. Most workers in this role earn between $31.44 and $49.90 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Rn Data Abstractor vs Part Time Remote Medical Records Coordinator?

AspectPart Time Remote Rn Data AbstractorPart Time Remote Medical Records Coordinator
CredentialsRN license, certification in medical data abstractionTypically healthcare experience, sometimes certification in records management
Work EnvironmentRemote, healthcare data-focusedRemote, administrative and record management
Industry UsageHospitals, research organizations, clinical trialsHospitals, clinics, insurance companies
Job FocusExtracting and abstracting patient data from recordsManaging, organizing, and maintaining medical records

While both roles are remote and involve healthcare data, the Part Time Remote Rn Data Abstractor focuses on extracting patient information, requiring RN credentials. In contrast, the Part Time Remote Medical Records Coordinator handles record organization and management, often with administrative experience. Understanding these differences helps job seekers find the right position aligned with their skills and certifications.

What are the most commonly searched types of Remote Rn Data Abstractor jobs in Worcester, MA?

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Part Time Remote Rn Data Abstractor jobs near you

Remote Biostatistics Consultant- Part Time

Sigma Systems, Inc.

Marlborough, MA • Remote

Part-time, Contractor

Posted 3 days ago

New

Job description

37573578 Remote Biostatistics Consultant- Part Time 6 Months Contract
Sigma Systems is currently looking for a Remote Biostatistics Consultant

This is a remote role initially working 10-15 hours a week for the first three months, then scaling back to 5-10 hours per week until the engagement ends.The consultant will support statistical deliverables within SMPA's oncology program. Responsibilities include reviewing and finalizing analysis datasets, supporting data quality and consistency checks, conducting or validating statistical analyses, generating tables, figures, and listings, interpreting statistical results, and contributing to statistical content to be used for publications. The consultant will collaborate with cross-functional team members, address publication-related statistical questions, and help ensure analyses and outputs are scientifically rigorous, accurate, and publication-ready. The role will work closely with the Medical Strategy lead and publications specialist. Responsibilities:

  • Lead Statistical Efforts: Serve as the primary biostatistician for a study within a project team, supporting closeout activities and reviewing, validating, and executing analyses
  • Provide Technical Guidance: Offer guidance to statistical programmers on developing SDTM/ADaM datasets and TLFs (Tables, Listings, and Figures) specifications, as well as perform quality checks on statistical programming efforts as needed
  • Communication Skills: Strong written and verbal communication skills with the ability to present complex statistical concepts to both technical and non-technical audiences
  • Collaboration: Proven ability to work effectively as part of a cross-functional team
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to make strategic decisions based on data-driven insights
  • Statistical Expertise: In-depth knowledge of statistical methods and their application in oncology clinical trials
  • Software Proficiency: Proficient in statistical programming languages and software, such as SAS and R, with the ability to guide data analysis and interpretation.
  • Data Standards: Experience with data standards such as CDISC SDTM and ADaM, including overseeing the development and quality control of specification
  • Quality Control: Strong attention to detail and commitment to ensuring the accuracy and integrity of statistical analyses and programming outputs.

Requirements:

  • PhD or MS in statistics or biostatistics
  • Ideal 3-year (for PhD) or 5-year (for MS) with experience in clinical trials
  • Broad and thorough understanding of statistical principles, up-to-date statistical design and methodologies, and their applications into clinical trial
  • Effective writing and communication skills: able to explain to team clearly and help team understand complex statistical design, methodology, decision rule, analysis plan and statistical report
  • Experience with Bayesian modeling and Analysis
  • Experienced with SAS programming, R programming and other statistical software