Print

Print


Job Description

Janssen Pharmaceuticals Companies of Johnson & Johnson is recruiting for a Director of Quantitative Decision Strategies that can be located in Titusville, NJ or Raritan, NJ.
 
Janssen Pharmaceuticals Companies of Johnson & Johnson are dedicated to addressing and solving the most important unmet medical needs of our time, including in oncology, immunology, neuroscience, infectious disease, and cardiovascular and metabolic diseases. Driven by our commitment to patients, we develop sustainable, integrated healthcare solutions by working side-by-side with healthcare stakeholders, based on partnerships of trust and transparency.
 
The Director of Quantitative Decision Strategies will be responsible for identifying opportunities to utilize innovative designs and statistical analysis methods in drug development.  She/He will be proposing/developing innovative designs and analysis methods and evaluating them via simulation studies and other appropriate instruments.  This person will be interacting with clinical teams to ensure the proper implementation of innovative approaches in clinical trials and development programs.  They will be participating in strategic planning and supporting the broad implementation of innovative approaches across clinical development.  She/He will be providing/arranging internal training on innovative designs and methods to ensure adequate knowledge and awareness of these approaches in the company.  This person will be serving in internal Independent Data Monitoring Committees for trials involving innovative approaches requiring unblinded interim analyses; and maintaining external collaborations and interactions (via professional associations, participation in conferences, publications, etc) to influence the external pharmaceutical industry and regulatory environment.


Qualifications
The successful candidate must have a Doctorate (Ph.D.) in statistics or related field.  A minimum of 10 years experience in drug development and/or applied quantitative methods for decision making is required.  He/She must have working knowledge of scientific programming.  A familiarity with industry principles of drug development, modeling and simulation, clinical pharmacology, clinical trial design and regulatory guidelines is required.  Sound knowledge of biostatistics applied to clinical trials and model-based drug development is required. This candidate must have working knowledge of statistical software, such as SAS, R, and S-PLUS. Excellent verbal and written communication skills, including formal presentation skills is required.   Experience presenting to technical and lay groups at public meetings is desirable.  Written skills as evidenced by publication and journal articles is highly preferred.   Ability to successfully multi-task and work independently, under minimal supervision is required.  This person must have excellent teamwork skills and the ability to influence, negotiate and communicate with both internal and external customers.  This position may be based in Titusville, NJ or Raritan, NJ.
 
BE VITAL in your career, Be seen for the talent you bring to your work. Explore opportunities within the Johnson & Johnson Family of Companies

To bid online, https://jnjc.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=58279

Please be sure to read their entire Privacy Policy before using or submitting information to their web site. Also, be sure to read their Legal Notice.

Thank you.

*Disclaimer: The Johnson & Johnson Family of Companies shall not be liable for the content or any errors or omissions in the information provided in the Comments section, and conclusions drawn from such information are the responsibility of the user.


Please note: If you do not wish to receive further job notifications, go to Create/Modify Your Profile on our careers site and log in. Once you are logged into the system, go through the profiler pages until you reach "Please send me e-mail notifications when new career opportunities reflect my interests." Deselect this option by unclicking the check box.

Please do not reply to this message. Replies are undeliverable and will not reach the Human Resources Department.

Confidentiality Notice: This e-mail transmission may contain confidential or legally privileged information that is intended only for the individual or entity named in the e-mail address. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution, or reliance upon the contents of this e-mail is strictly prohibited. If you have received this e-mail transmission in error, please delete the message from your Inbox. Thank you.
You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.