Associate Consultant

PharmaACE; Pune District; On-site; INR 600,000 - 1,000,000; Full time

Job summary

A global healthcare consulting firm located in Pune is seeking an Associate Consultant to manage onshore communications and mentor analysts. The role requires a background in engineering and experience in pharma/life sciences consulting. Key responsibilities include conducting data analyses, developing business models, and ensuring data compliance. Strong communication and analytical skills, along with proficiency in Excel and PowerPoint, are essential for success in this role.

Qualifications

• 1 – 3 years of pharma/life science consulting job experience.
• High motivation, good work ethic, maturity and personal initiative.
• Knowledge on various commonly used transactional data assets.

Responsibilities

• Communicate results to clients and onshore team members.
• Develop client relationships and serve as an offshore key point of contact.
• Analyzing AI/ML algorithms for problem-solving.

Skills

Data analytics/sciences

Communication skills

Excel

PowerPoint

Data privacy and compliance knowledge

Education

Bachelor’s or master’s in engineering

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, innovators, and 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. We have managed Biologics, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems portfolios.

Job Description

Associate Consultant:

As an Associate Consultant, you are expected to manage onshore/client communication and mentor a team of analysts. Advance data analytics/sciences Associate consultants/Consultants design and implement analyses on patient level data or similar datasets.

Brief Introduction

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

Qualifications

• Bachelor’s or master’s in engineering.
• 1 – 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.

Responsibilities

• 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 the preprocessing or feature engineering to be done on a given dataset.
• Training models and tuning their hyperparameters.
• 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.