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Your key responsibilities:
- Prepare R programming scripts to generate NONMEM analysis input dataset(s) for PK and/or PD analysis, based on requests from PM leader or Modeling leader. During dataset generation, PM support also modifies the variable definition file (PM leader or CPP leader is the main author of this document) which clearly defines each variable within this dataset with any additional information as they see fit. The NONMEM input dataset(s) created could be for interim or final analysis. The source used could be interim (uncleaned) or final SDTM/ADAM datasets or in sources in other formats, in some cases extensive data cleaning and complex calculations are needed.
- Upon request, QC NONMEM input dataset(s) generated by another PM support colleague. Log which QC script is used, which subjects were checked per study, what other aspects were checked within the dataset, the findings of the QC and the follow-up actions of those findings in a QC document.
- Generate e-submission package for NONMEM (or other modelling type) analysis. In general, the package includes NONMEM input datasets, NONMEM control file, output parameter files, output table files and other files, in addition to supporting documents such as define and var-names-descr files. PM support renames the files provided by PM leader or CPP leader so they fit the naming convention requirements for e-submission package if needed, converts these files into the appropriate formats, and places them into the right folder structure then links them to the define and var-names-descr files. PM support works closely with EPOD team to ensure the e-submission package has the right structure, accurate formats and being placed in the right assembly server directory.
- Interact with other departments (including but not limited to Data Management, Programming, bio-analytical teams, Regulatory) and external Vendors to communicate the needs of CPP in data collection, data formatting, data representation and cross departmental trainings if needed. Promote better understanding across different departments.
- Improve CPP internal processes in dataset creation, dataset QC (e.g. a standard QC R script with a checklist) and e-submission package preparation (e.g. R script which can automate the linking of documents).
- Experience with data plotting in R is desired (e.g. ggplot2).
- Experience with R shiny is a plus.
- Carry out functional responsibilities in accordance with applicable SOPs and Regulatory requirements
QUALIFICATIONS
We would love to hear from YOU, if you have:
Must haves: to be considered for this role, please ensure the minimum requirements are evident on your resume.
- B.S. Degree or equivalent with 3 to 5 years of experience in pharmaceutical industry or M.S. Degree with 1-2 years of experience in pharmaceutical industry.
- Expertise with R programming language.
- Data-handling skills and solid understanding of clinical database structures such as SDTM and ADAM
- Knowledge of principles of non-linear mixed effect modelling
- A fundamental understanding of clinical drug development and PK & PK/PD population PK modeling concepts
- Good written and oral communication skills
- Ability to build and improve working relationships inside and outside the department; ability and willingness to work in a cross-functional team environment (building strategic working relationships)
- Ability to multi-task and prioritize assignments, establishing courses of action for self and others to ensure that work is completed efficiently in a timely manner (planning and organizing)
- Attention to detail
- Contributing to the organization assuming responsibility and accountability for successfully completing assignments or tasks (delivery of results)
- Actively identifying new areas for learning and application to the job (continuous learning)
- Good sense of cultural sensitivity and diversity (cultural diversity)
- Self-motivated with the ability to work independently with minimal direction (personal accountability)
- Estimated travel of about 5% of time
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Overall purpose of job:
To be a therapeutic area scientific expert, responsible for discussing our products, patients’ treatment trends and studies in the therapeutic areas in which we are involved, on a peer-to-peer basis with a defined audience of Leading Specialists (Physicians, Pharmacists, Hospital Managers, Board Members of Scientific Societies, and other stakeholders) and to be considered a trusted scientific counterpart and partner.
To maximize company product value through high scientific quality communication with Leading Specialists on a peer-to-peer basis. Through activities in line with the Medical Affairs Plan, the MSL is jointly responsible for the realization of short-term and long-term company goals.
Key areas of responsibility
To keep abreast of medical and scientific knowledge.
- Continuously update their knowledge of products, patient’s treatment trends and clinical activities and studies within the therapeutic area and patient`s treatment trends in the region
- Identify evolving scientific concepts with future clinical implications
Development and maintenance of a contact network with Leading Specialists .
- Understand their needs, key value drivers, practical treatment patterns and scientific activities within the therapeutic area
- Develop and execute an external stakeholder management plan in close collaboration and coordination with other functions including: MAF, Medical Education, GCO, HEMAR, Commercial
- Communicate the value of company products, contribute to e.g. market access activities and formulary discussions
- Through scientific interactions, champion the medical value of our products fairly based on the risk-benefit profile of our drugs and contribute to the fostering of innovative approaches
- Represent the company to other therapeutic area stakeholders including professional associations and patient organisations in cooperation with Medical Advisor(s)/Medical Director
- Recognize and nurture relationships with rising stars within the scientific community
Proactive and reactive communication of medical scientific data to Leading Specialists and broader external health-care related audiences:
- Communicate directly and proactively scientific information on our products within the approved label
- Communicate non-promotional general information about our company, including pipeline, research and development programs and other relevant information
- Respond to unsolicited scientific queries from customers for approved products and products/indications in development, based on Medical Affairs and Medical Information documents
- Use digital technologies and new media to support proactive and reactive communication
Organization and participation in Medical Education activities:
- Identify/support/educate speakers
- Build Medical Education programs with scientific third parties
Organization and participation in Advisory Boards in cooperation with Medical Advisor/Medical Director
Qualification & Experience
- Scientific degree: Medical Doctor, Pharmaceutical or Nature Science university degree
- Deep knowledge of the therapeutic area, strength in research and interpretation of medical data
- Relevant work experience, scientific acumen and communication skills in order to be accepted by Leading Specialists in peer-to-peer relationship
- Awareness of business strategy and high customer focus with an understanding of the importance of business results
- Innovative, able to work in a matrix and coordinate and drive a complex and changing environment
- Awareness of, and adherence to, Johnson & Johnson Credo values and International Health Care Business Integrity Guide
Special requirements:
- Deep scientific knowledge in the therapeutic area
- Communication and presentation skills
- Business acumen
- Teamwork, leadership and influencing skills