Top 40829 Python Jobs

Biostatistician
Confidential —Remote
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- Full-time
- Remote
- Doctoral degree
- Surgery
- 3 years
- Paid parental leave
- Health savings account
Quick Apply
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Biostatistician

Confidential
Remote

Quick Apply

Job Details

Full-time
$95,000 - $125,000 a year

Benefits

Paid parental leave
Health savings account
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
401(k) matching
Flexible schedule
Life insurance

Qualifications

Data integrity assurance
Statistics
Teamwork
Statistics
Doctoral degree
Biostatistics-based research
Electronic health records (EHR) management
Data validation techniques
Biostatistics
SAS
HL7
ICD-10
Quality performance measurement
Doctor of Philosophy
Data quality monitoring
Health outcomes research
Clinical documentation standards
Clinical data analysis
FHIR

Full Job Description

Position Overview

A leading healthcare technology organization is seeking an accomplished PhD-level Biostatistician to join its advanced Informatics team. In this critical role, you will bridge the gap between intraoperative and postoperative clinical data—building the statistical frameworks and data models that power next-generation surgical analytics.

Working remotely and collaborating closely with senior leadership, clinical consultants, and informatics professionals, you will drive data integrity, model development, and insight generation that directly supports improved patient outcomes.

About the Platform

This organization’s flagship informatics platform enables healthcare institutions to capture, harmonize, and analyze surgical data at scale. The mission is to transform complex, multi-source clinical data into actionable intelligence—enhancing surgical performance, patient safety, and outcomes measurement across a growing network of healthcare partners.

Key Responsibilities

Data Validation & Quality Assurance

Design and execute rigorous validation protocols for intraoperative and postoperative datasets from clinical environments
Identify, investigate, and resolve data anomalies, inconsistencies, and missing values across multi-site data pipelines
Develop and maintain statistical quality control measures throughout the data lifecycle
Partner with clinical and technical teams to establish data governance standards and documentation

Data Modeling & Integration

Build statistical models integrating intraoperative data (e.g., hemodynamics, anesthesia records, surgical logs) with postoperative outcomes
Apply advanced biostatistical methods to support longitudinal and comparative analyses
Collaborate with data engineers to operationalize models into scalable data pipelines
Recommend data schemas and standardization approaches across diverse healthcare systems

Clinical Analytics & Insights

Perform advanced analyses (regression, survival analysis, mixed-effects models, Bayesian methods) to address clinical research questions
Translate complex statistical findings into clear, actionable insights for clinical and executive stakeholders
Support development of risk-adjustment models and benchmarking frameworks for surgical quality
Contribute to publications and analytical reporting

Customer Collaboration

Serve as a biostatistics subject matter expert supporting healthcare partners
Assist with onboarding new sites, including data readiness assessments and go-live support
Participate in collaborative sessions to align on data standards and analytical objectives

Required Qualifications

PhD in Biostatistics, Statistics, Epidemiology, Biomedical Informatics, or related field
3+ years of postdoctoral experience in healthcare, research, or informatics
Expertise in modeling clinical and outcomes data
Proficiency in R and/or SAS (Python a plus)
Experience with EHR data, clinical warehouses, or health information systems
Knowledge of healthcare data standards (HL7, FHIR, ICD-10, CPT)
Strong data validation and quality assurance experience
Excellent communication skills with ability to explain complex concepts
Proven ability to work effectively in a remote environment

Preferred Qualifications

Experience with perioperative or surgical data
Familiarity with outcomes research, risk adjustment, and benchmarking
Exposure to machine learning in clinical applications
Multi-site research or clinical trial data experience
Record of peer-reviewed publications

Work Environment & Benefits

Fully remote (U.S.-based)
Mission-driven, collaborative environment with direct clinical impact
Competitive compensation aligned with PhD-level experience
Comprehensive benefits (medical, dental, vision, 401(k))
Professional development and conference support
Flexible, results-oriented culture

Equal Opportunity Statement

The organization is an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace.

Pay: $95,000.00 - $125,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Health savings account
Life insurance
Paid parental leave
Paid time off
Parental leave
Vision insurance

Application Question(s):

Do you have any history with medical research?
What platforms have you used for data validation?
Have you worked in intraoperative or postoperative surgical populations?
What AI tools are you familiar with?

Education:

Doctorate (Required)

Work Location: Remote

Quick Apply

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