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Biomedical Data Analyst Remote Jobs in Northbrook, IL

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How much do biomedical data analyst remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for biomedical data analyst remote in Northbrook, IL is $83,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $98,500.00 per year, depending on experience, location, and employer.

What does a biomedical data analyst do in a remote position?

A Biomedical Data Analyst working remotely is responsible for collecting, processing, and interpreting complex biological and healthcare data. Their primary tasks include analyzing datasets from clinical trials, genomic studies, or electronic health records to uncover trends and support medical research. They use statistical tools and programming languages, often collaborating virtually with researchers and clinicians. Their insights help improve patient outcomes, develop new treatments, and advance scientific understanding. Remote roles allow analysts to contribute to projects from anywhere while utilizing secure technology to handle sensitive health data.

What are the key skills and qualifications needed to thrive as a biomedical data analyst in a remote setting?

To thrive as a Biomedical Data Analyst (Remote), you need a solid background in biostatistics, data science, and life sciences, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with programming languages (like Python or R), statistical software, and data visualization tools, as well as experience with databases and cloud-based collaboration platforms, is typically required. Strong analytical thinking, attention to detail, and effective virtual communication skills are vital for collaborating with multidisciplinary teams remotely. These skills ensure accurate analysis, meaningful insights, and successful project outcomes in a distributed work environment.

What are some common challenges faced by remote biomedical data analysts, and how can they be addressed?

Remote Biomedical Data Analysts often face challenges such as ensuring secure access to sensitive health data, maintaining effective communication with cross-functional teams, and managing time zone differences. To address these, it's important to use secure VPNs and follow data privacy protocols, utilize collaborative tools like Slack or Teams for regular updates, and establish clear working hours and expectations. Proactively scheduling check-ins and participating in virtual team meetings can help maintain strong collaboration and project alignment.

What are popular job titles related to Biomedical Data Analyst Remote jobs in Northbrook, IL?

For Biomedical Data Analyst Remote jobs in Northbrook, IL, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Analyst Remote jobs in Northbrook, IL look for?

The top searched job categories for Biomedical Data Analyst Remote jobs in Northbrook, IL are:

What cities near Northbrook, IL are hiring for Biomedical Data Analyst Remote jobs?

Cities near Northbrook, IL with the most Biomedical Data Analyst Remote job openings:

Medication and Pharmacy Data Analytics Specialist

Rush University Medical Center

Chicago, IL • Remote

$41.88 - $62.40/hr

Full-time

Posted 16 days ago


Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

116th of 1,065 rated hospitals


Job description

Location: Chicago, Illinois / Remote

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: System Pharmacy

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 4:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $41.88 - $62.40 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:
Are you passionate about using data to improve patient care, medication safety, and pharmacy operations? Rush University Medical Center is seeking a Medication and Pharmacy Data Analytics Specialist to help transform complex healthcare data into actionable insights that drive clinical, operational, and strategic decision-making across our growing pharmacy enterprise. 

In this highly collaborative role, you will serve as a key partner between Pharmacy Operations, Pharmacy Informatics, Knowledge Management, and Information Technology teams, leveraging data to optimize medication-use processes, improve clinical workflows, and support enterprise-wide pharmacy initiatives. You will design and develop analytics solutions, build and maintain data integrations, create dashboards and reports, and uncover meaningful trends that help improve patient outcomes and operational performance. 

This position is ideal for a data professional who enjoys solving complex problems, working directly with stakeholders, and translating data into compelling stories and actionable recommendations. You'll have the opportunity to work with leading healthcare technologies, electronic health records, pharmacy systems, and advanced analytics tools while helping shape the future of pharmacy services at a nationally recognized academic health system. 

The ideal candidate combines strong technical expertise in healthcare analytics, data management, and reporting with a passion for collaboration, innovation, and continuous improvement. Experience with healthcare data, pharmacy operations, Epic, SQL, Tableau, and data warehousing environments will position you for success in this role. 

Join Rush and play a critical role in advancing data-driven pharmacy care, improving medication safety, and supporting innovative healthcare solutions that make a meaningful difference for patients and providers every day. The identified candidate exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

Responsibilities:
Collaborative Problem Solving

  • Produces deliverables for leadership and communicates with all levels of stakeholders.
  • Collaborate with healthcare providers to implement and refine workflows that incorporate pharmaceutical data.

Pharmacy Informatics

  • Continuous improvement of pharmacy-related IT systems, including medication dispensing software, inventory management tools, and automated dispensing technologies.
  • Leverage data to improve medication safety, reduce errors, and enhance clinical decision-making.

Data Management and Integration

  • Gather business and data requirements from stakeholders.
  • Captures, develops, and documents data definitions, business rules, and data quality requirements.
  • Design and maintain databases that store pharmaceutical, clinical, and operational data (e.g., medication records, patient outcomes, drug interactions).
  • Integrate data from various sources such as electronic health records (EHRs), pharmacy management systems, and clinical decision support tools to optimize and automate decision making.

Data Analysis and Reporting

  • Conducts data analysis in support of a variety of analytic solutions.
  • Create and produce forecasts, reports, ad hoc requests, dashboards, etc.
  • Interprets data, analyzes results, create visualizations, and provides insights to determine operational impact, trends, and opportunities to communicate insights to pharmacists, clinicians, and leadership.
  • Produces reports and analytics that facilitate evidence-based clinical, financial, and operational decisions.

Systems Development and Automation

  • Identifies and defines both process and data improvements.
  • Build and maintain systems to process, integrate, and transform data into robust analytics.
  • Create algorithms or models to predict medication utilization.
  • Work with software developers to integrate data solutions into existing healthcare platforms.

Stakeholder, Regulatory and Clinical Support

  • Ensures compliance with deliverable reporting requirements by performing quality data audits and analysis.
  • Ensure data accuracy, security, and compliance with regulations.
  • Provide expertise on drug-related data to support clinical trials, population health management, or precision medicine initiatives.

Required Job Qualifications:

  • Education: Bachelor’s degree in information science, computer science or related field.
  • Experience: 3 years of data analysis, query design, and reporting experience.
  • Experience with test reporting solutions in house reporting solutions, i.e. Tableau, MS SQL Server and Oracle.
  • Experience with reports, dashboards, scorecards using Microsoft SSRS, SSAS, and MDX in a data warehousing environment.
  • Strong analytical, multi-tasking and problem-solving skills.
  • Demonstrated experience in requirements gathering and using relational databases.
  • Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples).
  • Good visual aesthetic sense relative to report development and presentation to the user.
  • Excellent written and verbal communication, facilitation, and customer facing skills
  • Must have a strong customer service orientation and excellent organizational skills.

Preferred Job Qualifications:

  • Experience: Demonstrated pharmacy experience; Proven experience with data engineering tools and healthcare IT systems (e.g., EHRs like Epic or Cerner).
  • Specialized certification(s): Epic Revenue Data Model, Epic Clinical Data Model Certification, Epic Clarity Data Model Certification, Epic Caboodle (Data Warehouse) Data Model Certification, Epic Cogito Certification, Epic Willow Ambulatory Certification, Epic Willow Inpatient Certification.
  • Microsoft SQL Server, Oracle, T-SQL; PL/SQL.
  • Familiarity with ERP information systems.
  • Familiarity with EMR information systems.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.


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