Data Reporting & Analytics Consultant - 253118

Medix™; Pleasanton (CA); On-site; USD 44,000 - 55,000; Full time

Job summary

Medix is seeking a Data Reporting & Analytics Consultant to support data-driven research and clinical operations at a growing clinical site. You will organize and analyze complex healthcare data, develop meaningful reports and visualizations, and support scientific publications.

The ideal candidate has a background in public health, biostatistics, or related field, and enjoys turning complex data into actionable insights.

Qualifications

• Bachelor's or Master’s degree in Public Health, Biostatistics, Epidemiology, Data Science, or related field.
• At least 2 years of experience in biostatistics, public health, healthcare analytics or clinical research.
• Strong proficiency in R or Python.
• Experience with healthcare, clinical, or research datasets.
• Strong understanding of data management, statistical analysis, and data visualization.
• Excellent attention to detail and ability to document analytical processes clearly.
• Strong written and verbal communication skills.

Responsibilities

• Clean, merge, organize, and maintain data from EHRs, study tracking systems, and other healthcare data sources.
• Develop reproducible data workflows, macros, and processes to automate routine data management and ensure datasets remain accurate and up to date.
• Perform data profiling and quality checks to identify missing information, inconsistencies, statistical concerns, and other data quality issues.
• Maintain clear documentation of data sources, transformations, workflows, and analytical decisions.
• Conduct descriptive analyses and develop statistical models under the guidance of senior biostatisticians.
• Analyze and track key cardiovascular health outcomes, including LDL-cholesterol levels, lipid-lowering therapy (LLT) intensification, and CAC scores.
• Develop dashboards, reports, tables, and visualizations that translate complex data into clear insights for clinical and research stakeholders.
• Support the interpretation and communication of research findings across cross-functional teams.
• Support the preparation of scientific manuscripts, including drafting Methods and Results sections.
• Develop publication-ready tables and figures for medical journals, research reports, and conference presentations.
• Maintain thorough documentation of analytical methods and decisions to support research integrity, reproducibility, and SOP compliance.
• Support study cohort identification and participant tracking activities.
• Assist with monitoring randomization and study participation processes.
• Prepare site-level reports to evaluate clinician and participant responses to study notifications and interventions at follow-up intervals, including 2- and 6-month assessments.
• Collaborate with clinical and research teams to identify trends, communicate findings, and support ongoing study improvements.

Skills

R

Python

SQL

Data visualization

Written communication

Education

Bachelor's or Master's in Public Health, Biostatistics, Epidemiology, Data Science, or related field

Tools

SQL

SAS

Job description

Schedule

Monday–Friday, 8:00 AM–5:00 PM

Pay

$32 - $40/hour

Position Overview

We are seeking a Data Reporting & Analytics Consultant to support data-driven research and clinical operations at a growing clinical research site. This role will work closely with clinical research and biostatistics teams to organize and analyze complex healthcare data, develop meaningful reports and visualizations, and support the preparation of scientific publications and presentations.

The ideal candidate has a strong background in public health, biostatistics, or a related field and enjoys turning complex data into clear, actionable insights. This is a hands-on opportunity for someone who is comfortable working with healthcare data, building reproducible analyses, and collaborating with research and clinical teams.

Responsibilities

• Clean, merge, organize, and maintain complex data from Electronic Health Records (EHRs), study tracking systems, and other healthcare data sources.
• Develop reproducible data workflows, macros, and processes to automate routine data management and ensure datasets remain accurate and up to date.
• Perform data profiling and quality checks to identify missing information, inconsistencies, statistical concerns, and other data quality issues.
• Maintain clear documentation of data sources, transformations, workflows, and analytical decisions.
• Conduct descriptive analyses and develop statistical models under the guidance of senior biostatisticians.
• Analyze and track key cardiovascular health outcomes, including LDL-cholesterol levels, lipid-lowering therapy (LLT) intensification, and coronary artery calcium (CAC) scores.
• Develop dashboards, reports, tables, and visualizations that translate complex data into clear insights for clinical and research stakeholders.
• Support the interpretation and communication of research findings across cross-functional teams.
• Support the preparation of scientific manuscripts, including drafting Methods and Results sections.
• Develop publication-ready tables and figures for medical journals, research reports, and conference presentations.
• Maintain thorough documentation of analytical methods and decisions to support research integrity, reproducibility, and compliance with established SOPs.
• Support study cohort identification and participant tracking activities.
• Assist with monitoring randomization and study participation processes.
• Prepare site-level reports to evaluate clinician and participant responses to study notifications and interventions at designated follow-up intervals, including 2- and 6-month assessments.
• Collaborate with clinical and research teams to identify trends, communicate findings, and support ongoing study improvements.

Qualifications

• Bachelor's or Master's degree in Public Health, Biostatistics, Epidemiology, Data Science, or a related field.
• At least 2 years of experience working in a biostatistics, public health, healthcare analytics, or clinical research environment.
• Strong proficiency in R or Python.
• Experience working with healthcare, clinical, or research datasets.
• Strong understanding of data management, statistical analysis, and data visualization.
• Excellent attention to detail and ability to document analytical processes clearly.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience supporting medical journal manuscripts, scientific publications, or conference presentations.
• Familiarity with machine learning tools or techniques.
• Experience with SQL and/or SAS.
• Experience working with EHR data or clinical trial datasets.
• Familiarity with clinical research operations and regulated research environments.