Advanced Analytics & AI

PharmaACE; Pune District; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

PharmaACE is seeking a professional for Advanced Analytics & Applied AI to deliver AI-driven solutions for pharmaceutical and healthcare clients. You will work with senior team members to build, implement, and scale analytics across commercial, medical, and R&D domains in an execution-focused role.

You will develop ML models, support patient journey analytics, and contribute to data pipelines and client deliverables.

Qualifications

• Bachelor’s or master’s degree in engineering, Life Sciences, Analytics, or a related field.
• Minimum 2 years of pharma, life sciences consulting, or advanced analytics roles.
• Strong analytical and problem-solving skills with high motivation, initiative, and attention to detail.
• Good verbal and written communication skills with the ability to present insights clearly.
• Understanding of client data privacy, compliance, and governance standards.
• Experience working with pharmaceutical transactional datasets including sales and volume data, Rx data, specialty level data, and longitudinal patient level datasets.

Responsibilities

• Own patient journey analytics workstreams using claims/EHR, SQL, Python, and longitudinal RWD; diagnose behavioural shifts impacting commercial demand.
• Develop and deploy machine learning models, including predictive analytics, NLP, and basic deep learning use cases under guidance from senior team members.
• Support development of AI-driven solutions for use cases such as patient segmentation, salesforce effectiveness, market access analytics, and clinical data analysis.
• Assist in building scalable and efficient data pipelines and analytics workflows.
• Perform data curation, transformation, and exploratory data analysis across diverse healthcare datasets (e.g., claims, Rx, CRM, EHR).
• Ensure data quality and consistency, adhering to compliance and data privacy standards.
• Identify patterns, trends, and insights to support model development and business problem solving.
• Work collaboratively with cross-functional teams (data science, consulting, and client teams) to deliver analytics projects.
• Translate business problems into analytical approaches with guidance from senior stakeholders
• Contribute to documentation, model validation, and deployment processes.
• Support preparation of client deliverables, including presentations, dashboards, and reports.
• Communicate analytical findings in a clear and structured manner to internal and client teams.
• Participate in client discussions as needed to explain methodologies and insights.
• Stay updated with emerging trends in AI, machine learning, and healthcare analytics.
• Contribute to internal knowledge sharing, reusable assets, and best practices.

Skills

Analytical thinking

Communication skills

Problem solving

Detail oriented

Education

Bachelor’s or Master’s degree in engineering, Life Sciences, Analytics

Tools

SQL

Python

Job description

Full Time

Full Time Posted: 2 weeks ago

Job Description

About PharmaAce

PharmaACE is a global life sciences consulting, analytics, and technology firm headquartered in Princeton, New Jersey, with a strong presence across the US, Europe, and India. We partner with leading pharmaceutical, biotechnology, and healthcare organizations, combining deep domain expertise with advanced analytics, data science, cloud, BI, and AI capabilities to deliver high-impact solutions. Our services span market research, commercial, patient and payer analytics, forecasting, competitive intelligence, management consulting, enterprise transformation, and AI-enabled solutions, including our proprietary PACE platforms. We support clients across the product lifecycle and therapeutic areas such as Oncology, Immunology, CNS, CV-Met, and Rare Diseases. Today, PharmaACE is a 1000+ member organization recognized globally for solving complex healthcare challenges through insight, innovation, and collaboration

Opportunity Overview

We are looking for a skilled and motivated professional in Advanced Analytics & Applied AI to support the delivery of AI driven solutions for pharmaceutical and healthcare clients. In this role, you will work closely with senior team members to develop, implement, and scale analytics solutions across commercial, medical, and R&D domains. This is an execution focused role with opportunities to build expertise in AI/ML while gaining exposure to client engagements.

Roles and Responsibilities

• Own patient journey analytics workstreams using claims/EHR, SQL, Python, and longitudinalRWD; diagnose behavioural shifts impacting commercial demand.
• Develop and deploy machine learning models, including predictive analytics, NLP, and basicdeep learning use cases under guidance from senior team members
• Support development of AI-driven solutions for use cases such as patient segmentation, salesforce effectiveness, market access analytics, and clinical data analysis.
• Assist in building scalable and efficient data pipelines and analytics workflows.
• Perform data curation, transformation, and exploratory data analysis across diversehealthcare datasets (e.g., claims, Rx, CRM, EHR).
• Ensure data quality and consistency, adhering to compliance and data privacy standards.
• Identify patterns, trends, and insights to support model development and business problem solving.
• Work collaboratively with cross-functional teams (data science, consulting, and client teams) to deliver analytics projects.
• Translate business problems into analytical approaches with guidance from senior stakeholders
• Contribute to documentation, model validation, and deployment processes.
• Support preparation of client deliverables, including presentations, dashboards, and reports.
• Communicate analytical findings in a clear and structured manner to internal and client teams.
• Participate in client discussions as needed to explain methodologies and insights.
• Stay updated with emerging trends in AI, machine learning, and healthcare analytics.
• Contribute to internal knowledge sharing, reusable assets, and best practices.

Requirements

• 1. Bachelor’s or master’s degree in engineering,Life Sciences, Analytics, or a related field.
• 2. Minimum 2 years of experience in pharma,life sciences consulting, or advanced analyticsroles
• 3. Strong analytical and problem-solving skillswith high motivation, initiative, and attentionto detail
• 4. Good verbal and written communication skillswith the ability to present insights clearly
• 5. Understanding of client data privacy,compliance, and governance standards.
• 6. Experience working with pharmaceuticaltransactional datasets including sales andvolume data, Rx data, specialty level data,and longitudinal patient level datasets.

Competencies

• 1. Predictive Modeling
• 2. Causal Inference
• 3. Patient Journey Analytics
• 4. Data Engineering
• 5. Model Validation & Drift Management
• 6. Time Series Analytics
• 7. AI/ML Governance