EXPERIENCED 1 STATISTICAL PROGRAMMER

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Our strength in healthcare innovation empowers us to build a world where sophisticated diseases are prevented, treated, and cured, where treatments are more inquisitive and less invasive, and solutions are personal.
Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.
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Position Summary.
The Experienced Statistical Programmer is an individual contributor with in-depth knowledge of statistical programming methods, languages and data structures who support data analysis and reporting activities within the Statistical Programming functional area in accordance with departmental processes and procedures.
This position is accountable for the development, verification, and documentation of code used for the analysis and reporting of clinical data and is responsible for the timeliness and the quality of assigned deliverables supporting clinical projects and submissions.
This position is a member of a programming team, capable of supporting programming activities of medium to high complexity with minimal mentorship.
In addition, the Experienced Statistical Programmer may contribute to departmental innovation and process improvement projects.
Principal Responsibilities.
Designs and develops statistical programs in support of clinical research analysis and reporting activities.
Performs appropriate quality control and verification in support of assigned clinical research analysis and reporting activities.
Maintains statistical programming documentation as appropriate.
Completes programming tasks of medium to high complexity with high quality and timeliness of deliverables.
Performs activities in compliance with departmental processes and procedures.
Collaborates optimally with statistical programming and cross-functional team members and counterparts to achieve project goals.
Critically reviews requirements and data, identifies gaps, proposes solutions, and applies expertise to improve efficiency of programming tasks and/or improve overall quality of programming deliverables.
Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as the need arises for position.
May contribute to departmental innovation and process improvement projects.
Principal Relationships.
Reports into people manager position within the functional area.
Accountable to the Programming Lead for assigned programming activities.
Functional contacts within IDAR include but are not limited to, Statistical Programming Portfolio Lead, Programming Lead, peer groups within the function, Data Management, Regulatory Medical Writing.
Functional contacts within Janssen (as collaborator or peer) include but are not limited to Quantitative Sciences, Biostatisticians, Clinical – Primary interfaces within clinical project (trial), program, and submission teams.
External contacts include but are not limited to external partners including CROs.
Qualifications Education and Experience Requirements.
Bachelor’s degree or higher and/or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth).
Approximately 4-6+ years relevant programming experience with growing responsibility, preferably in a pharmaceutical/Clinical R&D environment or field.
In depth knowledge of data structures and relevant statistical programming languages.
May include SAS, R, Python etc.
Knowledge of SAS and R preferred.
Proven understanding of processes and concepts relevant to Statistical Programming.
Basic knowledge of relevant regulatory guidelines (e.
.
ICH-GCP) and relevant clinical R&D concepts.
Proven written and verbal communication skills.
Experience working in a team environment.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.