We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models) and has hands on experience on building Gen AI based applications and systems. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders.
Key Responsibilities
- Selects analytical techniques and model methods best to solve business problems
- Ensures best practices sharing and cross the organization
- Enables delivery of data-analytics & Gen AI projects. Have deep knowledge of the companys supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies)
- Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem
- Understands the customer/stakeholders business needs/priorities and helps building solutions that support our business goals
- Participates in community of practice leveraging experience from delivering complex analytics projects.
- Designs machine learning systems and software to automate predictive model
- Transforms data science prototypes and applying appropriate ML algorithms and tools
- Develops ML algorithms to analyze large volumes of historical data to make predictions
- Establishes and manages the close relationship with customers/stakeholders
Skills
- Machine Learning
- Software Development
- Generative AI
- NLP
- Prompt Engineering
- Testing
- Software Development Lifecycle (SDLC)
- Design Applications using AWS / GCP / Azure
- Data Engineering
Specializations
- AI/ML (Machine Learning, Data Engineering, Data Science)
- Gen AI
- NLP
Minimum Qualifications:
- Bachelor s degree with 0-3 years industry experience
- Proficiency in Python & SQL
- 1-3 years experience in healthcare analytics and/or consulting
- Strong foundations of statistics and machine learning
- Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint
Preferred Qualifications:
- Advanced degree in STEM (MS, MBA, PhD)
- Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics
- Knowledge of statistics, data science and machine learning & commercial pharma
- Experience of supporting End to End Projects
