Manager - Analytics - Life Science

Roles & Responsibilities:
 
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:

- Excellent understanding of Pharma data sets - commercial, clinical, RWE (Real World Evidence) & EMR ( Electronic medical records) or Analytics, Model Building, Statistical Models

- Deep Learning, NLP, Predictive modeling, Decision Tree

- Deliver data and BI/analytics driven engagements

- 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

Key Overall Skills:

- 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 life sciences 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

Technical Skills :

- 8+ Years of relevant experience

- Hands-on experience working on any of the data querying language SQL.

- Hands-on experience on any of the advanced analytics tools SAS/R/Python.

- Good Database knowledge

- Experience in using one of the visualization tools (tableau, Spotfire, qlikview etc.)

Educational Background :

- Engineering from reputed college or equivalent with strong work experience in life sciences and statistical analysis

- Master's degree in Business Administration from a reputed college or equivalent,

- Statistics / Operations research masters from reputed college or equivalent