Senior Data Scientist - Clinical and Operational Analytics

IQVIA; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

IQVIA is seeking a Data Scientist - Clinical & Operational Analytics Lead in Bengaluru to lead advanced analytics and system improvements. You will develop data science methodologies, translate business problems into analytics plans, and deploy scalable ML solutions using Python or R.

Strong data wrangling and model lifecycle management are essential. The role requires 5+ years with a master’s, or 2+ years with a PhD, in data science or related fields.

Qualifications

• Experience translating business requirements into analytics and data integration plans.
• Proven ability to deliver programs optimizing performance in matrix environments.
• Strong validation and deployment practices for ML models.

Responsibilities

• Lead and execute clinical and operation analytics or system improvements.
• Develop ML methodologies (supervised/unsupervised) for business problems.
• Develop scalable Python/R code and manage model lifecycle with version control.
• Perform data engineering and wrangling on large datasets.

Skills

Statistics

Machine learning

Python

R

Data wrangling

Exploratory data analysis

Code development

Education

Master’s degree in data science / statistics / informatics / OR / CS / eng

PhD in data science / statistics / informatics / OR / CS / eng

Tools

SAS

SQL

NOSQL

Graph databases

Git / version control

Job description

Data Scientist - Clinical & Operational Analytics Lead

Lead and execute clinical and operation advanced analytics or system improvements. Develop novel data science methodologies to generate deep insights from disparate data sources. Provide subject matter expertise to teams in identification and application of the right data science methodology for a business problem. Formulate the right business problem in collaboration with business and create necessary analysis plans. Develop machine learning methodologies both supervised and unsupervised as appropriate to the business problem. Develop scalable and robust code in relevant language such as R or Python or equivalent in support of data science projects. Perform exploratory data analysis , system design analysis, integration design analysis, database design analysis to generate insights and help answer business questions. Ensure the life cycle management of the models is maintained through code repositories and version control tools. Perform data engineering, data preprocessing and data wrangling activities utilizing different approaches such as SAS, SQL, NOSQL, graph models. Perform thorough validation of the machine learning output to ensure a high-quality work product.

Individual should have a minimum of 5 years’ experience with relevant master’s degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems or a related discipline OR A minimum of 2 years’ experience with a Ph.D. degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems is required. Proven ability to translate and influence business requirements against existing analytics and data integration capabilities whilst identifying capabilities challenges and necessary solutions to ensure realistic goal setting for future analytics modelling. A proven record in shaping and delivering key programs that optimized performance and delivered project support in matrix environments is required. Experience in advanced analytics processes including gaining insight from structured and unstructured data, predictive modelling and optimization and associated systems/database infrastructure Strong working knowledge of traditional statistical methodologies. Strong working knowledge of machine learning methodologies, both supervised and unsupervised learning methods. High proficiency in one of the programming languages either Python or R or equivalent Familiarity of best practices in machine learning model development, validation and deployment. Solid understanding of life cycle management of the code and code repositories. Extensive experience with data wrangling, data preprocessing and data engineering techniques on large datasets.

Technical expertise, preferably in pharmaceutical clinical or a regulated industry operation, with extensive experience gained through working with diverse and complex data integration, warehousing and ingestion Excellent communication, interpersonal, and written skills Analytical Ability /Quality Results Oriented Customer Focus Global Business Mindset Innovation & Transformation Solutions Oriented Language requirements – Proficient in English Certifications – Preferred any data science certifications or relevant education

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Experience Level Senior Level