Intern - Sds

**Statistics & Decision Sciences**

**Quantitative Sciences, R&D Operations
**The Statistics & Decision Sciences (SDS) team members, provides statistical leadership in the cross-functional Global Development team from discovery to post-launch phases of drug development.**

The support is not only restricted to design of study or analyzing the study data or interpretation of results but also involves a tremendous research contribution, enabling J&J to make important decisions through data evidence.

We implement innovative statistical approaches to maximize the chances for a new drug’s market approval, while complying with regulatory standards and data integrity, ensuring high quality.

**Position Summary
The Student position provides statistical services including analysis, interpretation, design, and reporting or communication of data evidence for research, development, and/or marketed product needs in Janssen. Activities associated with the role will require guidance from managers and project statisticians. He/She abides by the Credo and practices J&J Leadership Imperatives for Individuals: Lead, Shape, Connect, and Deliver.

**Position Core Competencies, Responsibilities and Accountabilities
**Quality and Compliance**:Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidances. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards. Follows best practices for Data Integrity.

**Drug Development**:Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation and statistical communications support. Is accountable for the execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects.

**Collaboration**:Establishes and maintains effective and efficient interfaces and relationships with internal and external customers, with support of Statistics & Decision Sciences (SDS) management.

**Programming**:Has a working knowledge of SAS or R, as well as other relevant computational tools as required.

**External Engagement**:Participates as a member of professional organizations, such as attending meetings sponsored by professional organizations.

**Process**:Basic knowledge of data architecture and formats, such as Data Standards.

**Area Specific Core Competencies, Responsibilities and Accountabilities
These are additional to the above position core competencies, applicable to individuals according to their assigned area within Statistics & Decision Sciences.

**Discovery & Translational
Manages multiple projects.

Documents projects in sufficient detail for reproducibility.

**Manufacturing & Toxicology
Manages multiple projects.

Documents projects in sufficient detail for reproducibility, including entry in project tracking systems and placement into shared repositories.

**Supervision and Reporting Relationships
This position reports to a Principal Statistician or above, and is an individual contributor position.

**Interfaces
**Internal**:Statistics & Decision Sciences and associated groups as determined by supervisor, such as Statistical Programming, Medical Writing, Leaders and Scientists within Therapeutic and Functional Areas, R&D Operations, Medical Affairs, Manufacturing, Safety, Regulatory Affairs, Quality, Human Resources, Information Technology, Finance.

**External**:Determined by Supervisor as needed, such as Academia.

**Education and Experience Requirements
Bachelor’s or Master’s or PhD Degree in Statistics or related field, dependent on type of student position (intern, co-op, fellow, etc.)

Basic knowledge of SAS or R programming.

Good written, oral, and interpersonal communication skills.

**Qualifications**:
**Education and Experience Requirements
Bachelor’s or Master’s or PhD Degree in Statistics or related field, dependent on type of student position (intern, co-op, fellow, etc.)

Basic knowledge of SAS or R programming.

Good written, oral, and interpersonal communication skills.