Johnson & Johnson MD&D Global Services is hiring for a
Manager, Safety Signal Detection, Methods and Analysis. The role can be located
in either New Brunswick, NJ, Cincinnati, OH, Irvine, CA, and Raynham, MA.
Caring for the world, one person at a time, has inspired and
united the people of Johnson & Johnson for 125 years. We embrace research
and science -- bringing innovative ideas, products and services to advance the
health and well-being of people. Employees of the Johnson & Johnson Family
of Companies work with partners in health care to touch the lives of over a
billion people every day, throughout the world.
With $65 billion in 2011 sales, Johnson & Johnson is the
world's most comprehensive and broadly based manufacturer of health care
products, as well as a provider of related services, for the consumer,
pharmaceutical, and medical devices and diagnostics markets. The more than 250
Johnson & Johnson operating companies employ approximately 119,000 people
in 60 countries throughout the world
The Medical Device (MD) EPI organization conducts observational
research to support product development, licensing and acquisition, product
launch, and post-market safety and value assessments of MD products, and
fosters methodological excellence across the sector. Housed within the MD EPI
organization are the Medical Safety Sciences (MSS) and the Real World Data
Analytics & Research (RWDA&R) team.
MSS provides advanced statistical, analytical, and methodological
expertise and support to help MD sector advance safety signal detection
strategies. The RWDA&R team within MD EPI provides analytical capabilities
using large administrative, patient-level databases to answer a variety of
questions related to product development, health economics and outcomes
research (HEOR), and other clinical or commercial activities.
While MSS activities include the incremental improvement of
existing MD operating company signal detection methods, the principal focus
will be on evaluation, development, and implementation of novel analytical
methods and data sources for safety signal detection and evaluation. These
activities would include exploration of various “big data” techniques such as
machine learning (supervised and unsupervised), natural language processing,
sophisticated visualization, and neural networks for analysis of company safety
data along with exploration of other real world data sources (e.g. registries,
administrative healthcare claims, electronic health records, and regulatory
safety databases, and social media) for signal detection.
The manager will also work closely with the Real World Data
Analytics & Research (RWDA&R) group. These may involve statistical
analysis / prediction of individual patient outcomes, analysis of disease
burden/progression/ co-morbidities, standard of care, cost/reimbursement
patterns, market size, site of care, and clinical/health economic
Principal Duties and Responsibilities:
individual will partner closely with colleagues from MD EPI, the larger
Epidemiology group, MD Operating Company Post Market Surveillance
statisticians, and the Medical Safety organization to identify current
challenges in data quality and signal detection and research and develop potential
person will work closely with the MSS Lead to develop strategic initiatives and
pilot projects to assess the value of these novel techniques
- The manager
will oversee implementation of pilot projects either by directly implementing
and programming novel methods or working in partnership with internal colleagues
and/or outside consultants
person will champion transitioning promising pilot methods to implementation
and incorporation into standard surveillance across the sector via the Medical
Device sector wide operating company complaint database and analytics platforms.
in the activities in other MD EPI projects, larger Epidemiology Department and
the office of Chief Medical Offer will also be encouraged, along with
scientific publication of novel signal detection methods and results.
- An advanced degree (PhD preferred) or Master’s Degree in
(Bio)Statistics, Computer Science, Applied Mathematics, Data Science,
Epidemiology, or related field is required.
- A minimum of 3 years of relevant experience in related fields
- Preferably some of which are with medical device or
pharmaceutical industry is preferred.
- Expert knowledge of standard statistical software (e.g. R OR
Python) is required.
- Additional knowledge of other programming languages (e.g., C,
SQL, SAS) is preferred.
- Experience in the application of neural networks for machine
learning as applied to natural language processing, prediction, and
classification problems specific to healthcare is required.
- Experience with machine learning tools and packages such as
- A working knowledge of applied epidemiologic, public health
or similar principles to aggregate data analysis and trend analysis is preferred.
- Experience with advanced visualization and network analysis
- Understanding of the strengths and limitations of company and
regulatory safety databases is strongly preferred.
- Additionally, knowledge of and experience with various
healthcare databases (e.g., insurance claims data, electronic medical records,
and hospital billing data) are preferred.
- Excellent oral and written communication skills
- Including experience presenting to technical and lay groups
- Written skills as evidenced by publication and journal
articles is preferred.
United States-New Jersey-New BrunswickOther Locations
North America-United States-Massachusetts-Raynham, North America-United States-Ohio-Cincinnati, North America-United States-California-IrvineOrganization
MD&D Global Services LLC (6209)Job Function
Johnson & Johnson cares for the world - bringing innovative ideas, products and services to advance the health and well-being of people.