At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter 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. Learn more at https://www.jnj.com Job Function Data Analytics & Computational Sciences Job Sub Function Biostatistics Job Category Scientific/Technology All Job Posting Locations: PENJERLA, Telangana, India Job Description Position Summary The Principal Statistician supports the design, execution, analysis, interpretation, and reporting or communication of data evidence for Pre/Early/Late Clinical Development, Research & Discovery, Medical Affairs, Real World Evidence, or Manufacturing Sciences programs for research, development, and/or marketed product needs in Janssen, with minimal supervision. This position supports statistical aspects of business-critical and/or regulatory commitments, provides input to program plans with limited supervision, and represents Statistics & Decision Sciences (SDS) for cross-functional and intra-departmental teams or working groups. 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 Expertise: Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful program support. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability. 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. Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards. Follows best practices for Data Integrity. Drug Development : Demonstrates thorough knowledge of pharmaceutical research and development strategies and execution. Takes a lead in providing SDS support to experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications. Is accountable for 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. Is an evolving leader for providing input to team in terms of optimizing study or trial designs in line with study or indication level objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge. Disease Area Knowledge: Demonstrates knowledge for at least one disease area/target . Innovation: Suggests and performs the evaluation of alternative or innovative approaches to statistical methods or business processes. Representation: Represents Statistics & Decision Sciences for cross-functional and intra-departmental teams or working groups relating to scientific or process initiatives. External Engagement: Participates as a member of professional organizations, e.g. by attending meetings as chair or presenter. Mentor: Supervises contractors/special assignment personnel/interns/co-ops as required. Mentors junior colleagues in techniques, processes, and responsibilities. Process: Participates in process improvement or standards development initiatives. Complexity: Works on increasingly more complex programs after mastering standard ones. Proactively identifies complexity in terms Scientific, Statistical, Health Authority, Operational, and Partnership issues. Collaboration: Builds cross-functional partnerships with internal colleagues and with external partners (e.g. Contract Research Organizations (CROs), consultants) to achieve results for project specific needs with focus on improving communication, efficiency, and productivity. Works cross-functionally to identify and resolve issues. Communication: Has very good written, oral, and interpersonal communication skills. Demonstrated ability to collaborate and consult with non-statisticians, translating complex statistical concepts to drug research & development partners. Bridges scientific and business needs – integrating quantitative sciences and strong disease or functional area knowledge and appropriate market/competitive intelligence. Programming: Demonstrates full proficiency in SAS or R, as well as a working knowledge of other relevant computational tools as required. 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 Documents projects in sufficient detail for reproducibility. Serves as initial consultation contact for new projects. Maintains and grows customer base, and builds loyal relationships with customers. Assumes independent, professional responsibility for all phases of a project request from beginning through completion, with minimal supervision as needed. Manages multiple projects. Leads Statistical Input for at least one functional area, research field, or compound. Provides input to product development and performs statistical functions for submission related activities where appropriate. Statistical Modeling & Methodology Support broad implementation of innovative statistical approaches across the development portfolio. Support development and implementation of innovative approaches, participating in their hands-on implementation through direct interactions with statisticians. This involves, but is not limited to, identifying appropriate designs and methods, decision rules (e.g., Go/No Go); planning, running, and summarizing simulation studies to evaluate the operating characteristics of alternative designs and methods under a range of scenarios; and participating in the implementation of the selected approaches by engaging in protocol and SAP write-up. Collaborate with external consultants to provide support in the development and implementation of innovative methods and designs. Identify opportunities for innovation; interact directly with statisticians and other QS scientists for early identification of opportunities for innovative approaches. Participate in training and presentations on innovative approaches across the R&D organization (including statisticians, pharmacometricians, clinicians, and other stakeholder groups) to ensure awareness and adequate knowledge about these methods. Keep up-to-date knowledge of designs and analysis methods for clinical trials, including adaptive designs, model-based methods, etc. May engage in external collaborations within professional associations (e.g., ASA, IBS, SCT, ISoP, ISCB, PSI, EFPSI), participating in working groups, program committees, organizing sessions and presenting at scientific meetings, and publishing in peer reviewed journals. Knowledge of biostatistics applied to clinical trials and model-based drug development. Some experience with planning, running, and documenting simulations (including, but not limited to clinical trial simulations). Awareness of Bayesian methods and inference. Manufacturing & Toxicology Documents projects in sufficient detail for reproducibility, including entry in project tracking systems and placement into shared repositories. Serves as initial consultation contact for new projects. Maintains and grows customer base, and builds loyal relationships with customers. Assumes independent, professional responsibility for all phases of a project request from beginning through completion, with minimal supervision as needed. Manages multiple projects. Leads Statistical Input for at least one functional area, research field, or compound. Provides input to product development and performs statistical functions for submission related activities where appropriate. Medical Affairs Provides critical statistical oversight to Medical Affairs clinical studies and assumes a leadership role in clinical trial and/or patient registries planning (mostly Phase 3b/4 trials or observational studies for post marketing commitments/requirements) and reporting related activities; assumes the role of a Statistics representative for cross-functional teams and works on several trials (projects) simultaneously. Provides statistical input for clinical trials, observational studies and other types of clinical research projects including but not limited to post-hoc analyses, investigator initiated studies, publications, and HECOR/Epidemiology/Market Access support; Contributes/leads clinical study design, analysis planning and for the development of statistical analysis plan (SAP) and data presentation plan (DPS) for MA studies; Provides input to product development and performs statistical functions for submission related activities; Provides statistical support to other disciplines related to clinical statistics (e.g., HECOR/Epidemiology and publication activities); May serve as a primary contact with outside investigators (and vendors)in the preparation of scientific presentations and manuscripts; may interact with external Key Opinion Leaders (KOLs) and pursues rigorous statistical analyses in support of business-critical new research ideas; Explores and implements innovative statistical methods; Represents department in meetings with regulatory agencies. Real World Evidence Proactively interface with clinical teams to identify opportunities where real-world data analysis can support the clinical development feasibility assessment; Serve as liaison between the TA Clinical Teams and the Epidemiology Analytics Team to facilitate the translation of protocol Inclusion/Exclusion criteria into meaningful data definitions, and to track and measure outcomes; Work with RWE Feasibility Lead to shape and influence the future of protocol development through the use of novel technology applied to real world data to enhance data-driven operational decision making; Work closely with key stakeholders, including the Study Placement & Analytics group and the Clinical Program Leader, to run RWE analysis that support protocol design and protocol feasibility. Supervision and Reporting Relationships This position reports to a Director or above, and is an individual contributor position. Interfaces Internal: Statistics & Decision Sciences, Clinical Pharmacology & Pharmacometrics, Clinical Teams (or Equivalent) and associated working groups, 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: Contracted Partners, Academia, Professional Societies, Private and Public Consortia. Education And Experience Requirements Ph.D. in Statistics or related field with minimum 3 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience. Proficient in SAS or R programming. Good written, oral, and interpersonal communication skills. Ability to work independently. Demonstrated ability to work in interdisciplinary contexts outside statistics. Show more Show less
