Health Informatics Analyst Jobs
By ABSC (Absolute Business Solutions Corp.) At United States
Possess strong organizational skills (e.g., time management, communication, setting goals, delegation, working under pressure, self-motivation, analytical thinking, and attention to detail).
Offer strategic, research-based advice on analysis strategies and other data analyst related activities.
Possess at least five (5) years of experience in conducting data analysis, operations research, or other relevant quantitative analysis.
Have experience in developing decision support analysis and conducting health informatics analysis.
Have experience in working with protected data, health-related data, and personal health information.
Desirable: Possess previous experience working with government institutions.
Public Health Informatics Sme
By Leidos At , Remote $97,500 - $202,500 a year
Work with system/cloud architects to scope, design, and, if necessary, design public health informatics solutions in a cloud environment
Bachelors degree in a quantitative field required.
Strong familiarity with Jira and Confluence is a plus
The Health Informatics SME will:
Ability to Obtain NACI clearance
Health Informatics Analyst Remote
By Prime Therapeutics At Minneapolis, MN, United States
1-3 years of transact-SQL (MS SQL or Oracle) experience.
Experience with SAS, SPSS and/or other data mining tools.
Effective listening and communication skills.
Strong analytic and problem-solving skills and ability to interpret results of query analyses.
Experience working with normalized and denormalized data structures.
Performs exploratory data analysis and data mining of healthcare claims and authorizations data.
Director Biostatics Health Informatics
By Citeline At Boston, MA, United States
5+ years of experience working with and querying large databases
Experience working with healthcare databases (e.g., claims, EMR, labs, etc.)
Strong problem-solving and analytical skills, with attention to detail
Design data pipelines and queries and analyze data to support our Life Sciences use cases
Develop and optimize database queries and procedures for data processing, transformation, and analysis
Develop advanced algorithms on large-scale healthcare databases