Principal statistician

8 - 10 years experience  •  Biotech/Pharma

Salary depends on experience
Posted on 02/19/18
Titusville, NJ
8 - 10 years experience
Biotech/Pharma
Salary depends on experience
Posted on 02/19/18

The Principal statistician, Data Sciences will: 

  • Execute the strategy of De-identification Analytics
  • Lead a team and serve as a technical leader of the project team in the field of Privacy and De-identification Analytics, with specific expertise in the following areas: statistics, de-identification, risk assessment, and the structure and content of clinical data sets.
  • Categorize identifiers and quasi-identifiers, as well as develop the methods to accurately assess re-identification risk and alter data elements to reduce that risk.
  • Work in collaboration with business team and/or Business Relationship Manager to understand business demands and identify opportunities.
  • Lead and participate in development of software tools, applications, and analyses to support need to ensure patient privacy while maintaining utility.

Additional decision making responsibilities:

  • Address complex problems with broad implications for research data, balancing the often-competing needs of privacy and utility.
  • Ensure solutions are consistent with business objectives or business strategy.
  • Make decisions regarding resource alignment/dedication and prioritization (people resources, dollars/funding, project criticality) and communicate rationale back to the business and project management. 
  • Contribute to the strategic planning process and long-term direction for the Privacy and De-identification team and aligns plans between stakeholders.

Qualifications

  • A Bachelor’s degree with a minimum of 7 years of relevant experience OR an advanced degree (Master’s, PhD or MD) in Statistics or related discipline with a minimum of 5 years of relevant experience is required.
  • Familiarity with tools and methods to calculate re-identification risk in clinical data is preferred. 
  • Experience building population statistics to compare to the prevalence of elements in the analysis dataset is preferred. 
  • Experience working with complex, multidisciplinary teams in a matrix environment is required.
  • Strong data modelling and schema design experience and working knowledge of relational database modeling concepts and SQL is required.
  • Experience using data profiling / quality tools, experience with ETL activities, knowledge of common data models (e.g. OMOP, i2b2) is preferred.
  • Understanding of clinical data model/standards/vocabularies such as MEDRA, SNOMED, CDISC, CDM and RxNORM is preferred.
  • Experience working in a data warehouse environment with exposure to INFORMATICA, Redshift and Teradata. Knowledge of health outcomes databases (claim, EMR/EHR, survey, observation studies) is preferred.
  • Strong expertise in health informatics, including familiarity with health outcomes databases, clinical trial registries Understanding of IT resource and cost drivers for a franchise or business unit is required.
  • Excellent interpersonal skills and able to drive tasks in a diverse team is required.

  • Requisition ID: 4089171105

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