Company:
Katalyst Healthcares & Life Sciences
Location: South Plainfield
Closing Date: 18/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Responsibilities:
Strong programming skills in SAS / R programming and data analysis.
Extensive work experience with large US insurance claims databases, electronic medical records, registry databases for health outcomes research (e.g., Optum, Premier, Marketscan, Humedica, IMSPharmetrics +, GEhealth, Flatiron, etc.)
Experience with Ex-US healthcare databases such as THIN database is a plus
Experience working with medical and billing coding systems such as ICD-10, SNOMED, LOINC, NDC, HCPCS, CPT.
Familiar with cloud and high-performance computing environments (Azure, AWS).
Looking for candidates who have worked in the pharma industry (have some therapeutic area expertise) and have experience with any of claims (Marketscan, OPTUM, Premier etc) or EMR databases (THIN) for research purposes.
Candidates we hire will be directly working with Outcomes research group on a retrospective study from start to finish (developing research protocol, write SAS programs, analyze and provide summary of results that can be publishable).
Requirements:
Minimum master's degree in health economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or other relevant discipline, with experience in coding and developing analytical datasets and conducting statistical analysis.
Minimum 3 years of experience in SAS programming and a minimum 2 years of hands-on work experience with real world studies using large claims/EMR databases in HEOR.
Advance degree (eg, PhD, DrPH, PharmD) is nice to have.
Must have publication on the resumes.
SAS experience is minimum.
R shiny-good to have.
Python is good to have.
Competitive analysis with another drug.
Real world data expertise.
Experience with us insurance claims databases.
Publications is required on the resumes.
Pharma is a plus (example Client,gsk,Pharmaceutical,Client, AstraZeneca).
Outcome research-score match, regression, work with claim database, aws system experience.
Market landscape.
Longitudinal studies.
Market landscape.
Outcome research.
Post marketing-preclinical-phase 4 or later.
Strong programming skills in SAS / R programming and data analysis.
Extensive work experience with large US insurance claims databases, electronic medical records, registry databases for health outcomes research (e.g., Optum, Premier, Marketscan, Humedica, IMSPharmetrics +, GEhealth, Flatiron, etc.)
Experience with Ex-US healthcare databases such as THIN database is a plus
Experience working with medical and billing coding systems such as ICD-10, SNOMED, LOINC, NDC, HCPCS, CPT.
Familiar with cloud and high-performance computing environments (Azure, AWS).
Looking for candidates who have worked in the pharma industry (have some therapeutic area expertise) and have experience with any of claims (Marketscan, OPTUM, Premier etc) or EMR databases (THIN) for research purposes.
Candidates we hire will be directly working with Outcomes research group on a retrospective study from start to finish (developing research protocol, write SAS programs, analyze and provide summary of results that can be publishable).
Requirements:
Minimum master's degree in health economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or other relevant discipline, with experience in coding and developing analytical datasets and conducting statistical analysis.
Minimum 3 years of experience in SAS programming and a minimum 2 years of hands-on work experience with real world studies using large claims/EMR databases in HEOR.
Advance degree (eg, PhD, DrPH, PharmD) is nice to have.
Must have publication on the resumes.
SAS experience is minimum.
R shiny-good to have.
Python is good to have.
Competitive analysis with another drug.
Real world data expertise.
Experience with us insurance claims databases.
Publications is required on the resumes.
Pharma is a plus (example Client,gsk,Pharmaceutical,Client, AstraZeneca).
Outcome research-score match, regression, work with claim database, aws system experience.
Market landscape.
Longitudinal studies.
Market landscape.
Outcome research.
Post marketing-preclinical-phase 4 or later.
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