Decision Analytics Consultant - Real World Evidence - Pharma

DECISION ANALYTICS CONSULTANT (REAL WORLD EVIDENCE) - 5+ yrs -Pune

- Work with the global pharmaceutical industry to help gain significant efficiencies in drug development; validate and communicate product value

- Improve patient outcomes by bringing in real world patient insights throughout the product lifecycle while optimizing trial design, accelerated clinical operations, and developing RWD technology platforms and applications

- Manage lifecycle RWE strategy that aligns evidence generation with commercial, clinical, and regulatory needs

- Work with project leadership to define project scope and develop approach

- Lead project teams in design and execution of analyses to test hypotheses and improve client commercial effectiveness

- Lead project task execution by ensuring progress, organizing project data and coordinating team meetings

- Conduct issue analysis and develop hypotheses on the key client issues

- Synthesize findings, develop recommendations and communicate results to clients and internal teams

- Provide thought leadership and innovation within projects and practice areas

- Participate in business development

- Contribute to internal firm activities

- Coach and mentor junior team members

Qualifications:

- MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute.

- Up to 5-12 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA

- Medical or R&D experience with the pharmaceutical industry is highly preferred

- Biostatistics, informatics, or statistics background alignment with an understanding of RWE

- High motivation, good work ethic, maturity and personal initiative

- Aptitude for, and enjoyment of, leading and managing teams

- Effective oral and written communication skills that enable personal impact with senior-level decision makers

- Strong attention to detail, with a quality-focused mindset

- Analytic problem solving skills, with a creative and innovative outlook

- Client service orientation