Clinical Statistical Programmer - II (Associate)

The Outcomes Research Stats Analyst/ Statistical Programmer will report to the Director of Data Analytics OR of Medical Affairs Outcomes Research. Core elements enabling success in the role will include: Focusing across Women’s Health, Established Brands, Biosimilars and in-licensing opportunities. In this role you will be responsible for the internal analysis for all internal projects research programs that include design and delivering internal research projects and insights.

• The role is responsible for the delivery of internal data analysis of studies involving observational studies for all developmental products and commercialized projects across the portfolio at ***.
• The data is to be communicated to all internal stakeholders and for support for research projects that are reviewed and go to congress and manuscript submission.
• Develop protocols and Statistical Analysis Plan (SAP) based on the study concept, and ensure appropriateness of study design, sample size and statistical methodologies proposed.
• Develop and implement rigorous QC processes and programming templates to ensure quality of data and analyses.
• Conducts statistical analyses to generate tables, listings, and figures for use in publications/presentations and for internal purposes
• Must be able to meet timelines with minimal supervision, have excellent verbal and written skills.
• Solid ability to translate statistical information.
  
  

Quals--

Education:

Minimum Masters 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.

• Advance degree (eg, PhD, DrPH, PharmD) is nice to have.
• Must have publication on the resumes
  
  

Required experience and skills:

• 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.
• 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).
  
  

Must haves software:

• SAS experience is minimum.
  
  

Nice to have software:

• R shiny-good to have
• Python is good to have
  
  

Notes:

• 100% Remote role. Candidate within east coast will be preferred.
• May be required to visit the site once in every 3 months.
  
  

Key Skills:

• COMPETITIVE ANALYSIS WITH OTHER 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, Client)
• 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
  
  

Not Looking for:

• ORACLE-NOT INTERESTED
• GCP/ICH EXPERIENCE-NOT HELPFUL
• CLINICAL RESEARCH EXPERIENCE NOT HELPFUL