Data Science

We are looking for candidates with a minimum of 3-5 years of consulting experience possessing Life Sciences secondary data familiarity – experience working with a variety of Patient, Physician and Payer datasets on solving strategic and tactical sales & marketing business problems across life sciences, biotechnology and healthcare industries . Having directly worked with clients in these industries and business functions will be a big plus.

Qualification and Responsibilities:

1. Education:
   • BS or higher in any engineering discipline from a Tier 1 college
   • BS or higher in a quantitative discipline such as Statistics, Mathematics, Operations, Research, Economics or Econometrics from Tier 1 College with a minimum of consulting experience
2. Technical – Able to comprehend complex tasks assigned and execute them with little to no supervision
   • Hands on in a range of analytics tools (SAS, SQL, R/Python) and big data hosting technologies (at least 1 of AWS, GCP, Azure), with advanced expertise in MS Office (Excel and PowerPoint)
   • Have in-depth knowledge of the various commercially available Physician, Patient and Payer level Life Sciences data sources in the US.
   • Must have experience in the development or maintenance of processes to manage and improve sales and marketing operations such as Sales Force Sizing, Promotion Response Modeling, Promotional Effectiveness, Market Mix Optimization, etc.
   • Execute analyses through an offshore team and make the results accessible and relevant to a wide variety of business users
   • Develop and refine analysis templates for problem diagnosis and opportunities assessment
   • Knowledge of advanced analytics and ability to blend consulting, analytics, and technology to help life sciences and healthcare clients improve the ROI of their sales and marketing functions
   • Must have experience in using Statistical techniques like Regression Modeling/ Optimization/ Structuring/ Machine Learning Techniques
   • Calculation of all sales, activity, and managed care KPIs
3. Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Spot discrepancies and inconsistencies in information and materials. Collaborate effectively with other analytical team members
4. Task Management – Project management knowledge and experience. Should be able to plan tasks, discuss and work on priorities. Support analytical projects by formulating methodology, establish data requirements, identify client deliverables, determine tasks and timing. Demonstrate initiative to improve quality and customer service by striving to exceed customer expectations. Balance team and individual responsibilities and put the success of the team above own interests
5. Communication – Convey ideas and information clearly and accurately to self or others in writing and verbally. Establish effective mechanisms of communication with team, and the organization's leadership to foster an environment of openness, trust and teamwork