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Scientific informatics analyst skills for your resume and career

Updated January 8, 2025

4 min read

Quoted expert

Dr. Christopher Brown Ph.D.

Below we've compiled a list of the most critical scientific informatics analyst skills. We ranked the top skills for scientific informatics analysts based on the percentage of resumes they appeared on. For example, 13.3% of scientific informatics analyst resumes contained project management as a skill. Continue reading to find out what skills a scientific informatics analyst needs to be successful in the workplace.

15 scientific informatics analyst skills for your resume and career

1. Project Management

Here's how scientific informatics analysts use project management:

Project management to engineer expression vectors to broaden host-range and increase usability.
Provide project management support for hospital admissions and billing departments.

2. Data Analysis

Here's how scientific informatics analysts use data analysis:

Performed data analysis in support of the eMSM usiness Performance Plan.
Create and implement data analysis and reporting for management that is used for maintaining controls, creating objectives and enhancing productivity.

3. Tableau

Here's how scientific informatics analysts use tableau:

Developed Tableau dashboards to provide line of sight into productivity of membership professionals, resulting in increased accountability of the staff.

4. Epic

Epic is a private healthcare company which developed and continues to provide a software intended for healthcare professionals and the organization and management of medical records. It is by far one of the largest in its field, with over 50% of patients having a medical record present in their system. Patients, as well as clinics and various medical professionals and facilities are all able to use this system to keep medical history and information safe and easy to reach, alter, and share with the necessary people.

Here's how scientific informatics analysts use epic:

Frequent EPIC (EMR), maintain Quality files which are used to create monthly performance reports.
Lead training classes for other EPIC super users when software updates and upgrades were presented.

5. Statistical Analysis

Here's how scientific informatics analysts use statistical analysis:

Performed data-mining and statistical analysis and generated summary reports in research studies.

6. Data Management

The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.

Here's how scientific informatics analysts use data management:

Collaborate across business units to enhance knowledge of data management.
Utilized extreme attention to detail and accuracy in data management.

7. Business Rules

Here's how scientific informatics analysts use business rules:

Worked with Medical Informatics team to deliver clinical and business rules for the Automated Clinical Decision Support system (ACDS).

8. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how scientific informatics analysts use data collection:

Worked with vendors and staff to rectify data collection inconsistency and address errors.
Performed data collection, tracking and analytical duties in support of operations supporting the decision making process of leadership.

9. HIPAA

Here's how scientific informatics analysts use hipaa:

Demonstrated knowledge of HIPAA Privacy and Security Regulations by appropriately handling patient information.
Maintained confidentiality to adhere to HIPAA guidelines to assure patient safety and accountability.

10. Medicaid

Here's how scientific informatics analysts use medicaid:

Examine applications to determine Medicaid eligibility or ineligibility.
Perform case file review audits to verify that Medicaid eligibility is determined correctly based on applications and all associated documents provided.

11. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how scientific informatics analysts use data warehouse:

Used SAS and SQL programming languages to mine and format data from the company's Electronic Data Warehouse.
Acquired broad range of business knowledge of MVP Health Care products and data warehouse.

12. SQL Server

Here's how scientific informatics analysts use sql server:

Script and/or modify existing stored procedures, user-defined functions and report objects within Microsoft SQL Server and Reporting Services environment.
Converted several existing and extremely time-consuming manual metrics reports to push-button SQL Server generation.

13. HEDIS

Here's how scientific informatics analysts use hedis:

Monitored compliance with regulatory quality measures for the Healthcare Effective Data and Information Set (HEDIS) benchmarks.

14. Software Applications

A software application is any computer program developed and used by consumers, such as Microsoft's suite of products (Office, Excel, Word, PowerPoint, Outlook, etc.), Internet browsers such as Firefox, Safari, and Chrome, or browser add-ons that Defendant preinstalls or causes to be preinstalled onto a Covered Product. The software application is designed to help the user perform specific tasks - personal, educational, and business functions.

Here's how scientific informatics analysts use software applications:

Collaborated with senior and clinical leadership to schedule and implement user trainings in the usage and maintenance of software applications.
Evaluated software applications for proper production environment functionality within company standards.

15. Unix

UNIX is a computer operating system that was first created in the 1960s and has been constantly updated since then. The operating system refers to the set of programs that enable a machine to function. It is a multi-user, multi-tasking device that works on computers, laptops, and servers. UNIX systems also have a graphical user interface (GUI), similar to Microsoft Windows, that makes it simple to use.

Here's how scientific informatics analysts use unix:

Demonstrated competency in software configuration and application's build process using PVCS configuration manager and UNIX make utilities.
Developed and presented strategy for implementing high-availability Unix system software to client CIO, managerial and technical staff.

What skills help Scientific Informatics Analysts find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What scientific informatics analyst skills would you recommend for someone trying to advance their career?

Dr. Christopher Brown Ph.D.

Professor, New Mexico State University

In the geography and environmental studies field, solid GIS&T skills give you a big advantage in the game. Programming and DB skills take things to a new level. You also need solid soft skills, and solid references that can speak to your wortk ethis are a must.

Do you want to know more?

List of scientific informatics analyst skills to add to your resume

The most important skills for a scientific informatics analyst resume and required skills for a scientific informatics analyst to have include:

Project Management
Data Analysis
Tableau
Epic
Statistical Analysis
Data Management
Business Rules
Data Collection
HIPAA
Medicaid
Data Warehouse
SQL Server
HEDIS

Software Applications
Unix
CMS
Business Processes
Data Models
HL7
Patient Safety
Radiology
Claims Data
ETL
Pacs
Macro
Clinical Applications

ACO
End-User Training
Sas/Base
Ad-Hoc Reports
Service Line
DICOM
R
Data Issues
HTML
Recognition System
Pharmacy Data

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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