We seek professionals who combine strong Pharma/Lifesciences domain expertise with an AI-ready mindset, leveraging AI, GenAI, Data, and Digital Technologies to transform business processes, accelerate outcomes, and unlock new opportunities for innovation.

Job Profile:

As a Data Scientist/ Sr. Data Scientist at i2eConsulting, you will partner closely with a team of stakeholders, data scientists, and data engineers to solve real problems in healthcare domain. We are looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data solutions. Our potential members would work on developing and implementing machine learning algorithms in Generative AI, Vision and Applied Statistics and Machine Learning space.

Responsibilities:

• Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems
• Deploy and optimize machine learning solutions on massive datasets using big data technologies
• Develop and prototype AI algorithms and software tools
• Implement enhancements to existing algorithmic/Machine Learning solutions
• Conduct quantitative data analysis using a variety of datasets
• Increase the efficiency and improve the quality of solutions offered
• Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders
• Build and deploy additional functionalities as per client requirements
• Build specialized solutions using LLMs for Chat, QnA, Summarization, document creation and translation use cases in healthcare domain
• Strong understanding of Agentic AI and build Agentic AI framework driven solutions for complex business problems in healthcare domain.
• Contribute to Applied ML research projects, end-to-end ML problem solving
• Gather good understanding of the business needs of the project
• Leverage recent advances in machine learning technologies and oversee the team’s training
• Takes initiatives in innovation and research areas of solution development

Ideal Candidate:

• Have 3-5 years of experience in analyzing large volumes of data and building predictive models
• Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing
• Hands-on experience developing applications and solutions using latest LLMs
• Have an excellent understanding of the computer vision techniques applied to the pharmaceutical domain
• Have an excellent academic background with strong hands-on knowledge of Python and SQL
• Hands-on Software Development Skills (Python preferred)
• Understands the core concepts of Machine Learning, Deep Learning, Transformers and the math behind it
• Have good knowledge of existing ML tools like Tensorflow, Pytorch, Pyspark, SK learn
• Know all the general best practices of ML
• Able to understand the internals of popular ML tools and as per the need be able to modify existing popular tools and algorithms
• Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms
• Knowledge of statistical techniques, linear algebra, and numerical optimization
• Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing
• Ability to work closely with domain experts to develop tools/algorithms needed to answer research questions in their studies
• Understanding of popular cloud infrastructure providers and services applied to AI/ML domain is a must
  Excellent communication skills (with the ability to explain developed tools and ML algorithms to a non-technical audience)
• Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.
• Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems
• Strong analytical, inferential, critical thinking, and creative problem-solving skills
• Self-starter with ability to work both independently and with a team