Life Sciences Data Science Senior Manager 1202 views

Analytics professionals use quantitative methods to derive actionable insights and outcomes from data. The Life Sciences Analytics team comprises professionals with diverse experience and backgrounds including industry experience, consulting, statistics, engineering, economics and other quantitative disciplines. Employees are encouraged and expected to build their expertise as data scientists, and deploy analytics to business problems. They also provide access to an experienced group of professionals across disciplines, including Life Sciences, Financial Services, Communication Media and Technology, Products CPG Retail, Supply Chain Operations. As a result, they are able to apply a multidisciplinary approach to projects and formulate a more comprehensive, best in class and effective strategy. A professional at this position level within Accenture has the following responsibilities. Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in depth evaluation of variable factors. Closely follows the strategic direction set by senior management when establishing near term goals. Interacts with senior management at a client and or within Accenture on matters where they may need to gain acceptance on an alternate approach.Develop points of view, project approach, and actively drive the capture of sales through onsite client business development activities. Has some latitude in decisionmaking. Acts independently to determine methods and procedures on new assignments. Decisions have a major day to day impact on area of responsibility. Manages large medium sized teams and or work efforts if in an individual contributor role at a client or within Accenture. Key Responsibilities of the role include The candidate will work closely with client teams and or clients directly and will be responsible for specific responsibilities in one or more of the following areas. Excellent understanding of Life Sciences Industry Domain
Working with one of the subindustries within Life Sciences Pharmaceutical, Biotechnology, Medical Technology, Generics, Distribution, and Consumer Healthcare. Understanding of the data sets within these subindustries example commercial, point of sales, clinical, claims data etc. Deliver data and BI analytics driven engagements. Creating solutions around one or more of the below areas. Analytics strategy roadmap, maturity assessment. Commercial Analytics. Patient Analytics. Payer or Provider Analytics.Digital Marketing Analytics. Analytics enablement dashboarding, tool development People and project management 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.

Qualifications

• Bachelors Degree required Minimum of 5 years of client facing consulting experience Minimum 3 years of handson experience working on advanced analytics projects involving statistical models. Minimum of 2 years of demonstrated experience with written and verbal communication skills including formal and informal presentations, building client relationships and providing excellent client service. Minimum 2 years working with BI Analytics visualization tools like Tableau Spotfire, QlikView etc. Minimum 2 years of experience with advanced analytics tools such as SAS or RMinimum 2 years experience working with Real World Evidence RWE dataAbility to travel up to 80100*Bachelors Degree, Engineering, Computer Science or Statistics Masters Degree, Business Administration, Statistics or Operations Research Strong work experience in Life Sciences industry and statistical analysis Exceptional business acumen Ability to build, maintain and own relationships Strong presentation skills Strong conceptual knowledge and understanding of databases and statistics Solid Microsoft Office Excel and power point skills Strong business and technical accountability*Proven ability to build, manage and foster a teamoriented environment Proven ability to work creatively and analytically in a problemsolving environment Desire to work in an information systems environment Excellent communication written and oral and interpersonal skills Excellent leadership and management skills