The candidate will work closely with client facing teams and or clients directly and will be responsible for specific responsibilities in one or more of the following areas :
Position Responsibilities
- Support teams as the - analytic lead- on projects
- Analyze quantitative data and turn into actionable solutions / insights for clients
- Emerge and gain recognition as the internal - expert- in 1-2 functional/therapeutic areas
- Manage time and client deliverables effectively with regular communication to senior management
- Coordinate and oversee project-based activities for Associates
- Participate in recruiting efforts, together with providing training and mentoring support to additional and/or more junior staff
- Serve as primary point of client contact for ongoing activities
- Create and manage client proposals and presentations
- Fulfill other related roles as assigned from time to time
- Excellent understanding of Pharma data sets - commercial, clinical, EMR ( Electronic medical records)
- Leverage ones hands on experience of working across one or more of these areas such as real world evidence data, R&D clinical data, digital marketing data
- Analytics enablement (dash-boarding, tool development)
- Strong business acumen
- People management responsibilities
- Strong project management skills
- To actively engage in knowledge learning, sharing and storing. Steep learning curve and adapting to new client situations quickly and work under a competitive environment
Excellent communication skills :
- Ability to summarize the essence in speech & in written communication
- Ability to influence and lead others
- Adhere to the firm's standards on ethics, code of conduct and values
Qualification:
- Engineering from reputed college or equivalent with strong work experience in lifesciences and statistical analysis
- Master's degree in Business Administration from a reputed college or equivalent,
- Statistics / Operations research masters from reputed college or equivalent
Requirement :
- Should have business acumen, take initiative and be self-driven
- Strong conceptual knowledge on statistics
- Should have hands on experience in working on advance analytics projects involving statistical models like logistic regression, Cox proportional hazard model etc.
- Very good Microsoft Office (Excel and power point ) skills
- Need to have worked with lifesciences data sets (R&D, Commercial, real world)
- Experience in requirements gathering and design for BI/analytics
- Experienced in working with people from different geographies (e.g. USA, Europe etc.)
- Strong Client facing skills
- Able to build and own relationships
- Ability to drive small scale projects
- Creative problem solving skills
- Strong business and technical knowledge accountability
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