Reporting and Analytics Manager

Amgen Inc. (IR); Hyderabad; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Amgen Inc. (IR) in Hyderabad seeks a Senior Medical Data Scientist to design and deploy data science solutions that inform medical strategy and improve patient outcomes.

You will translate complex data into actionable insights and lead end-to-end projects across structured and unstructured datasets. The role requires deep expertise in statistics, ML, NLP, and data pipelines, with hands-on coding in Python and SQL, and experience with Databricks and BI tools.

Qualifications

• PhD with 2+ years of data analytics or data science experience.
• MS with 5+ years of data analytics or data science experience.
• BS with 7+ years of data analytics or data science experience.
• Hands-on experience in data science, statistics, ML, or advanced analytics.
• Hands-on expertise in data science, statistical modeling, ML, NLP, or related fields with end-to-end delivery.
• Advanced programming in SQL and Python; comfortable with Databricks or similar environments.
• Strong storytelling and presentation skills; translate data into clear insights.

Responsibilities

• Design and build high-impact data science projects across structured and unstructured data.
• Conduct end-to-end data science projects using Python, R, SQL, Tableau, Power BI.
• Lead test-and-learn approaches including causal inference and A/B testing.
• Collaborate with stakeholders to define problems and scope medical data science projects.
• Develop scalable data pipelines with robust, reproducible deployment workflows.
• Present outputs to medical and cross-functional leadership with clear recommendations.

Skills

Data science expertise

Advanced statistics

NLP/LLMs

Mentorship

Storytelling/presentation

Education

PhD in CS/Eng/Statistics

MS in CS/Eng/Statistics

BS in CS/Eng/Statistics

Tools

Python

R

SQL

Databricks

Tableau

Power BI

Job description

Career Category Medical Services Job Description

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the forefront of innovation, using technology and human genetic data to push beyond what is known today.

ABOUT THE ROLE

The Senior Medical Data Scientist will play a vital role in supporting Global Medical Affairs by designing and deploying data science solutions — including advanced statistical methods, predictive modeling, and machine learning — to deliver meaningful, data-driven insights that inform scientific engagement, strategic decision-making, and patient-focused strategies. As a key member of the Medical Data & Analytics (MDnA) team, you will translate complex structured and unstructured data into actionable intelligence to inform medical strategy and improve patient outcomes. This is a hands‑on, technical, and execution‑oriented role that requires both analytical depth and strong problem‑solving skills. The ideal candidate is an advanced problem solver who combines deep data science expertise, hands‑on technical skills, and a strong ability to mentor, motivate and elevate peers. This is an opportunity to continuously expand their expertise and take a role in pushing forward innovative analytics such as large language models (LLMs) and Generative AI.

Key Responsibilities

• Design and build high‑impact projects that address complex medical questions across therapeutic areas, applying advanced data science methods (predictive modeling, NLP, LLMs, machine learning, causal inference).
• Conduct end‑to‑end data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms.
• Drive the design, application, and evaluation of test‑and‑learn approaches — including causal inference methods, advanced A/B testing, and pilots, with accountability for methodological rigor and actionable insights.
• Partner with business leaders and stakeholders to define problem statements, set project scope, and design and conduct medical data science projects such as MSL engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities.
• Design and optimize scalable data pipelines in collaboration with engineering teams, ensuring reproducibility, robustness, and compliance in deployment workflows.
• Translate complex model outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross‑functional leadership teams.
• Serve as a technical SME (subject matter expert) in data science, providing thought influencing designing and methodology choices across the MDnA team.
• Passion to continuously learn, evaluate and introduce emerging technologies (e.g., Generative AI, LLMs, advanced A/B testing frameworks) and act as a motivational peer to strengthen Amgen’s data science toolbox.
• Maintain best practices in reproducibility, documentation, version control, and model governance across teams.

Basic Qualifications

• PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 2+ year(s) of experience in data analytics or data science;
• Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science;
• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 7+ years of experience in data analytics or data science.
• Experience in data science, statistics, machine learning, or advanced analytics, with hands‑on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification.
• Demonstrated hands‑on expertise in data science, statistical modeling, machine learning, advanced predictive modeling, NLP, or related fields, with successful delivery of end‑to‑end solutions.
• Advanced programming in SQL and Python (R a plus); comfort working in Databricks or similar environments.
• Strong storytelling and presentation skills; ability to translate data into clear, compelling insights.

Preferred Qualifications

• Life sciences or pharma experience, with proven application of data science.
• Deep understanding of machine learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
• Practical experience with LLMs, RAG architectures, or advanced NLP applications is a strong plus.
• Familiarity with MLflow, AWS, Git, and DevOps‑style model deployment workflows.
• Track record of peer mentorship and leadership within technical teams.

Soft Skills

• Curiosity, adaptability, and a passion for continuous learning.
• Motivational influence: ability to inspire and elevate the performance of peers.
• Strong problem‑solving and critical thinking.
• Effective communication, both written and verbal.
• Collaborative mindset and ability to work in a matrixed environment.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen