Technical Lead- ML, Python, AWS, Gen AI (Clinical Trials)

Overall experience of 7-9 years with minimum of 3-5 years of experience in clinical research, with a focus on managing clinical trials in a pharmaceutical, biotechnology, or contract research organization (CRO) setting. Minimum of 3- 5 years of experience in AI research and development, with a focus on healthcare or life sciences applications
Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations.
Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly
desirable.
Ability to understand customer needs and business objectives in Pharmaceutical domain preferably Clinical. Experience in working closely with clinical Statisticians/Study Builder/ Study Designers and translating their
requirements into effective AI solutions.
Strong programming skills, with proficiency in Python, R and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas,
Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus.
Experience working with large datasets and performing data pre-processing, feature engineering, and model evaluation.
Experience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions.
Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
Demonstrate a growth mindset to understand business processes and challenges