Pharmaceuticals is currently recruiting for a Statistician, Data Sciences. This
position can be located in Raritan, NJ; Titusville, NJ; or Spring House, PA.
Occasional travel to the NJ/PA sites will be required. Additional travel up to
15% may be required.
Research & Development, L.L.C. develops treatments that improve the health
and lifestyles of people worldwide. Research and development areas encompass
novel targets in neurologic disorders, gastroenterology, oncology, infectious
disease, diabetes, hematology, metabolic disorders, immunologic disorders, and
reproductive medicine. We have produced and marketed many first-in-class
prescription medications and are poised to serve the broad needs of the
healthcare market – from patients to practitioners, from clinics to hospitals.
For more about Janssen Pharmaceuticals, Inc., one of the Pharmaceutical
Companies of Johnson & Johnson, visit www.janssenpharmaceuticalsinc.com.
on a diverse company culture, celebrating the uniqueness of our employees and
committed to inclusion. Proud to be an equal opportunity employer.
Janssen, pharmaceutical companies of Johnson & Johnson, has access to and
generates wealth of data. The core mission of the data sciences group is to
leverage this data using machine learning, pattern detection, anomaly detection
and predictive modeling to create insights and impact health care.
The Data Sciences group within Pharma IT department of Janssen is looking for
an outstanding Statistician who is interested in leading, designing, and developing,
solutions to measure privacy risk and implement de-identification and
anonymization methods. The candidate for this position will work with a newly
formed team and product line for Privacy and De-identification Analytics. The
role requires both a broad knowledge of existing data mining solutions,
leadership and creativity to invent, customize and work in a multidisciplinary
environment to drive business solutions.
The Statistician, Data Sciences will be part of a dynamic, accomplished
informatics team that will support a broad portfolio of Data Scientists across
the Enterprise; He/She is accountable for executing business requirements for
projects, achieving project objectives, ensuring effective integration of new
- 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
- Participate in development of software tools,
applications, and analyses to support need to ensure patient privacy while
decision making responsibilities:
- Address complex problems with broad
implications for research data, balancing the often competing needs of privacy
- 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
to the strategic planning process and long-term direction for the Privacy and
De-identification team and aligns plans between stakeholders.
- A Bachelor’s degree in Statistics or related
discipline with a minimum of 3 years of relevant experience OR an advanced
degree (Master’s or PhD) in Statistics or related discipline.
- 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
- Experience working with complex,
multidisciplinary teams in a matrix environment is preferred.
- Strong data modelling/data mapping/data
manipulation and schema design experience and working knowledge of relational
database modeling concepts and SQL or equivalent language such as R, SAS, or
Python 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
- 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
- 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 preferred.
interpersonal skills and able to drive tasks in a diverse team is required.
United States-Pennsylvania-Spring HouseOther Locations
North America-United States-New Jersey-Titusville, North America-United States-New Jersey-RaritanOrganization
Janssen Research & Development, LLC. (6084)Job Function
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