Location
Pune | India
Job description
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, Immuno- science, 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.
Responsibilities:
- Analyze different pharmaceutical / life sciences data sets like electronic medical records, anonymous patient level data, prescription data & sales data, promotional data.
- 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.
- Generate forecasts, analysis and actionable insights that lead to the achievement of strategic and financial goals for our clients.
- In-depth expertise in developing, implementing, and managing holistic strategies for modelling.
- 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.
- Defining validation strategies.
- Defining the preprocessing or feature engineering to be done on a given dataset.
- Defining data augmentation pipelines.
- Analyzing the errors of the model and designing strategies to overcome them.
- Knowledge 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.
- Work experience in global/international markets and understanding of key datasets.
Other Competencies:
- Entrepreneurial orientation.
- Excellent interpersonal and communication skills (written and verbal).
- Innovative and collaborative behaviour, team player.
Job tags
Salary
