PharmaACE - Consultant - Advanced Analytics (3-6 yrs)

Consultant - Advanced Analytics

- PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey.

- Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients.

- Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science.

- We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model.

- Our wealth of therapeutic area experience cuts across Oncology, Immunoscience, CNS, CV-Met, and Rare Diseases.

- We support our clients' needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems.

Brief Introduction:

- If you are keen to work on analytical problem solving, then work in the area of advanced data analytics/sciences to provide consulting to pharmaceutical clients.

Responsibilities:

- Analyze different pharmaceutical / life sciences data sets like claims data, electronic medical records, anonymous patient level data, prescription data & sales data, promotional data.

- Communicate results to clients and onshore team members.

- Develop client relationships and serve as an offshore key point of contact for the project.

- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.

- Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.

- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

- Verifying data quality, and/or ensuring it via data cleaning.

- Supervising the data acquisition process if more data is needed.

- Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset.

- Defining data augmentation pipelines.

- Training models and tuning their hyperparameters.

- Analyzing the errors of the model and designing strategies to overcome them Know.

- ledge on Deep learning techniques is added advantage.

- Deploying models to production.

- Interpreting and analyzing both qualitative and quantitative data points; hypothesis building with Strong excel and PPT skills.

- Process automation using SQL/Python/Other available technologies/ETL Tools etc.

Qualifications:

- Bachelor's or Master's in Engineering.

- Minimum 3 years of pharma / life science consulting job experience.

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

- Strong oral and written communication skills.

- Strong excel and PowerPoint skills.

- Adherence to client specific data privacy and compliance policies.

- Knowledge on various commonly used transactional data assets and others including.

- Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets.

Other Competencies:

- Entrepreneurial orientation.

- Excellent interpersonal and communication skills (written and verbal).

- Innovative and collaborative behavior, team player.

- Customer centricity and paying attention to details.