Medical University of South Carolina
UNIV - CDR Phenotyper - Statistical and Research Analyst II - Department of Publ
Medical University of South Carolina, Orleans Estates, South Carolina, United States
Overview
The CDR Phenotyper will support the development and validation of high-quality phenotypes within Clinical Data Repositories (CDRs), including but not limited to All of Us Research, Epic Cosmos, and other OMOP-based systems. This role is integral to the research efforts led by Dr. Alexander Alekseyenko and his collaborators, enabling robust data-driven studies through precise phenotype definitions and analytics. Responsibilities
Collect phenotype descriptions from domain experts (30%)
Conduct structured interviews and meetings with clinicians and researchers to gather phenotype definitions Translate clinical concepts into computable definitions using standardized terminologies Document phenotype requirements and maintain version control of definitions
Specify and validate phenotypes (30%)
Develop phenotype algorithms using SQL, R, and Python within OMOP-based environments Perform iterative validation using test cohorts and feedback from domain experts Ensure reproducibility and accuracy of phenotype definitions across datasets
Gather descriptive statistics (30%)
Generate summary statistics and visualizations for phenotypes across different cohorts Analyze prevalence, demographic distributions, and comorbidity patterns Prepare reports and presentations for internal and external collaborators
Complete necessary trainings (10%)
Participate in required institutional and project-specific training (e.g., data privacy, OMOP tools, All of Us protocols) Stay current with updates in CDR platforms and data governance policies Engage in professional development relevant to clinical informatics and data science
Additional Knowledge, Skill, Ability Preferred
Proficiency in R and Python for data manipulation and analysis Experience with SQL for querying large-scale clinical databases Familiarity with the OMOP Common Data Model and related tools Understanding of clinical terminology and coding systems (e.g., ICD, SNOMED, LOINC) Ability to communicate effectively with clinical and technical stakeholders Minimum Requirements
A high school diploma and two years work experience as a Statistical and Research Analyst I. A bachelor’s degree with mathematics and/or statistics courses may be substituted for the required work experience. Physical Requirements
Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift. See original description for full details. Note: The following descriptions are applicable to this section: continuous standing, sitting, walking, environmental conditions, and dexterity requirements are described in the original posting. Additional Information
"If you like working with energetic enthusiastic individuals, you will enjoy your career with us!" The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees
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The CDR Phenotyper will support the development and validation of high-quality phenotypes within Clinical Data Repositories (CDRs), including but not limited to All of Us Research, Epic Cosmos, and other OMOP-based systems. This role is integral to the research efforts led by Dr. Alexander Alekseyenko and his collaborators, enabling robust data-driven studies through precise phenotype definitions and analytics. Responsibilities
Collect phenotype descriptions from domain experts (30%)
Conduct structured interviews and meetings with clinicians and researchers to gather phenotype definitions Translate clinical concepts into computable definitions using standardized terminologies Document phenotype requirements and maintain version control of definitions
Specify and validate phenotypes (30%)
Develop phenotype algorithms using SQL, R, and Python within OMOP-based environments Perform iterative validation using test cohorts and feedback from domain experts Ensure reproducibility and accuracy of phenotype definitions across datasets
Gather descriptive statistics (30%)
Generate summary statistics and visualizations for phenotypes across different cohorts Analyze prevalence, demographic distributions, and comorbidity patterns Prepare reports and presentations for internal and external collaborators
Complete necessary trainings (10%)
Participate in required institutional and project-specific training (e.g., data privacy, OMOP tools, All of Us protocols) Stay current with updates in CDR platforms and data governance policies Engage in professional development relevant to clinical informatics and data science
Additional Knowledge, Skill, Ability Preferred
Proficiency in R and Python for data manipulation and analysis Experience with SQL for querying large-scale clinical databases Familiarity with the OMOP Common Data Model and related tools Understanding of clinical terminology and coding systems (e.g., ICD, SNOMED, LOINC) Ability to communicate effectively with clinical and technical stakeholders Minimum Requirements
A high school diploma and two years work experience as a Statistical and Research Analyst I. A bachelor’s degree with mathematics and/or statistics courses may be substituted for the required work experience. Physical Requirements
Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift. See original description for full details. Note: The following descriptions are applicable to this section: continuous standing, sitting, walking, environmental conditions, and dexterity requirements are described in the original posting. Additional Information
"If you like working with energetic enthusiastic individuals, you will enjoy your career with us!" The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees
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