Major Accountabilities:
Responsibilities - Assist in the design and development of generative AI models for
supply chain-related applications, particularly in clinical trial management. - Collaborate
with data scientists and supply chain experts to integrate machine learning algorithms into
existing systems and workflows. - Conduct research on state-of-the-art generative models
and contribute to the development of methodologies that can enhance supply chain
efficiency. - Participate in testing, debugging, and improving AI models to optimize
inventory management and logistics in clinical trials. - Analyze user interactions to
continually refine chatbot responses and decision-making processes. - Document findings
and present improvements to the team regularly, focusing on the impact of AI outcomes.
Qualifications - Recent graduate with a degree in Computer Science, Data Science,
Artificial Intelligence, or a related field. - Familiarity with machine learning concepts,
particularly neural networks and natural language processing (NLP). - Experience with
programming languages such as Python, along with knowledge of AI frameworks (e.g.,
TensorFlow, PyTorch). - Understanding of supply chain processes and clinical trials is a
plus. - Demonstrated ability to work collaboratively in a team environment. - Strong
analytical and problem-solving skills. - Excellent communication skills, both written and
verbal.
Preferred Skills - Experience with cloud computing platforms (e.g., AWS, Google Cloud) is
a plus. - Experience with COPILOT and COPILOT Studio is highly welcome. - Experience
with MS Platforms like Power BI or Power Automate is a plus. - Knowledge of generative
models such as GPT, BERT, and other transformer architectures.
What We Offer
- Hands-on experience with cutting-edge AI technology in the pharmaceutical industry.
- Mentorship from industry experts in supply chain management.
- Opportunity to contribute to impactful projects that enhance clinical trial processes.
- A collaborative and inclusive work environment at a leading healthcare company.
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