Principal RWE Scientific Research Analyst

Job Description Summary The Principal Real-World Evidence (RWE) Research Analyst is responsible for the scientific and methodological aspects of all RWE projects as well as providing guidance for other members of the team.   Job Description Key Responsibilities : Produce analytic deliverables, including full study reports for RWE or observational database analyses projects. 

Support project management by coordinating project activities and timelines as well as issue management.    Independently draft and edit documents such as high-level research proposals, protocols, and statistical analysis plans. 

Develop project timelines together with the Real-World Evidence (RWE) Data Scientists.  Appropriately track communications with the customer as well as project related decisions taken. 

Provide guidance to less experienced analysts on study design and analysis activities. 

Conduct observational data analyses involving new creative approaches and oversee data management and statistical programming activities. 

Provide guidance to conduct data quality reviews with detailed documentation.    Present research and analysis results to customers and stakeholders. 

Produce analysis datasets, listings, tables, and figures for research projects, according to specifications, while maintaining documentation and complying with pre-defined project / study standards. 

Perform in-depth research and quantitative and qualitative analysis independently. Provide guidance to Associate RWE Research Analysts and RWE Research Analysts.    Seek out opportunities for the development of new RWE services and new customers within Novartis. 

Maintain familiarity with technical developments in RWE, epidemiological and data science fields.  Support in talent identification and advancement as well as hiring of new talent and team expansion strategies. 

Develop department-level standards, tools, and templates.    Contributor to RWDA business development. 

Essential Requirement :

Experience in the application of statistical methods to the analysis of observational data.  Technical proficiency in analytical and visualization tools and statistical programming languages such as SQL, SAS, R, R/shiny, Tableau, Python.

Deep knowledge of RWE data sources and standards such as CPRD, JMDC, Optum, Healthverity, PharMetrics, OMOP. 

Expert in applied statistics. Extensive experience in the application of statistical methods for analysis of observational data including propensity scores, sensitivity analyses, etc. is a plus. 

Good understanding of organizational processes. Extensive experience working cross-functionally with key internal stakeholders. 

Open to experimentation and taking smart risks to support creative thinking that leads to practical solutions to healthcare and business challenges. 

Holds a high standard on quality excellence. Continuously seeking to enhancing standards, technology through expansion of knowledge and training. 

Support teamwork to swiftly and efficiently deliver innovative new products to patients and healthcare providers. 

High ethical values and standards. 

Able to speak out, challenge conventional thinking, and stand up for ideas. 

Experienced in data visualization. 

Excellent project management skills: can prioritize multiple tasks and goals to ensure timely completion. 

Confident and competent when interacting with internal stakeholders. 

Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence.  

Strong team spirit. 

Preferred Postgraduate qualification (Master’s or PhD) in a relevant field. 

Preferred Publications or presentations in recognized RWE/biomedical journals/conferences highly desired. 

Desirable Requirement :

Bachelor’s degree plus 8+ years conducting research in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline within the pharma industry (e.g., clinical research, statistics, epidemiology, pricing). 

Commitment to Diversity & Inclusion We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.   Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

  Skills Desired Building Constructions, Clinical Research, Clinical Trials, Drug Development, Hazard Identification (HAZID), Health Sciences, Immunology, Intensive Care UnIT (Icu) (Inactive), Internal Controls, Internal Medicine, Internet Protocol Suite, Job Description (Inactive), Medical Information, Organizing, Patient Care, Stakeholder Engagement, Utilization Management (Um) (Inactive)