Signal Management Scientist

Job description

Janssen Pharmaceutical Research & Development, L.L.C., a member of the Johnson & Johnson Family of Companies, is recruiting for a Signal Management Scientist. This position will be based in Horsham, PA, Raritan, NJ, or Titusville, NJ.

At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.JanssenRnD.com for more information.

We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it.

Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.

The objective of Signal Management Scientist is to implement Signal Management Group (SMG) surveillance strategies for proactive and systematic detection and evaluation of new safety signals and emerging trends from pre and post marketing safety data. These activities include the evaluation (and piloting) as well as use of novel, computer-assisted tools and methodologies for analysis of internal company safety data, international regulatory safety databases, and other data sources, e.g. claims and electronic medical records and social media.

This position, in partnership with other SMG physicians and scientists, develops and implements product-specific surveillance plans, performs signal detection activities, including signal validation, and participates in communication of emerging signals in forums, such as the Product Team Meeting, Signal Management Teams, and monthly Product Quality Meetings. This position will also participate in the development of strategies for signal evaluation, and may include performing activities supporting signal evaluation, such as case definition development (including database query criteria), review of the signal tracking system, ad hoc data mining FAERS, Vigibase, and SCEPTRE, and text mining.

Responsibilities:
· Identify and assess (validate) new safety signals and trends by conducting systematic reviews of aggregate data with a focus on spontaneous adverse event reports. This includes signal detection activities in safety platforms, including SMART, routine and ad hoc data mining in Empirica Signal, and signal entry to Empirica Topics.
· Prepare reviews of topics and summary analysis reports of safety data, in consultation with the SMG physicians. Provide recommendations for further evaluation.
· Work with key customers and business partners (MSOs, PVERs, and SSPs) in developing and implementing product specific pharmacovigilance plans.
· Participate as member of the matrix teams to address product specific safety issues, assist in the development of signal evaluation strategies, and participate in signal evaluation, including literature reviews. Communicate findings from routine and ad hoc signal detection and assessment activities.
· Assist in the development and implementation of programmatic surveillance of adverse event reports for potential safety and product quality issues.
· Assist in the evaluation of novel, computer-assisted tools and methodologies for analysis of safety data, including piloting new data source and methodologies.

Desired profile

Qualifications :

·  A minimum of an advanced degree in a health-care discipline (RN, MSc, M.P.H., etc) is required. A doctoral degree in the above is preferred but not required (e.g.Pharm.D. PhD).
·  A minimum of 3 years of experience in post-marketing safety data analysis is required
·  Familiarity with safety analysis, including case definition development, case series analysis, and literature review is required
·  An understanding of global health authority regulations and guidances surrounding the processing, reporting and evaluation of adverse events is preferred
·  Good understanding in single case processing, aggregate data review and evaluation of drug safety issues, knowledge of adverse event dictionaries, core labeling, preparation and review of Periodic Safety Review are required
·  Ability to present complex data in a concise and understandable scientific manner is essential.
·  Ability to manipulate data in platforms such as Excel and SAS JMP is required.