Job
Description
Responsibilities As part of AI Business Advisory Team, you will be expected to: Structure high value business problems and design solutions for the Pharma, Life Sciences and Healthcare industries by combining best aspects of machine intelligence and rich domain experience. Provide thought leadership to clients at the business head level and help them sharpen their business strategy in developing & implementing AI/GenAI solutions and evangelize for last mile adoption. Participate in industry events, conferences, and webinars to showcase our expertise and position us as a thought leader. Develop Proof of Concepts working with client stakeholders and mapping their business pain points and problems to AI needs and leveraging relevant tools and frameworks. Understand and manage the expectations from the engagements to build, deepen and broaden client relationship. Bring alignment between customer's technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way. Improvise on new and innovative AI solutions drive its adoption to the market. Own end to end delivery of, a) large & complex Analytics & AI led transformation programs, b) small and nimble business insights initiatives to realize quick gains. Desired Skills & Experience At least 5 years of experience working in the AI industry in Pharma, Life Sciences and Healthcare domain and having good understanding of key industry challenges and Data complexities Should have the core understanding of the pharma, LS and Healthcare in terms of the end-to-end drug development life cycle. This includes understanding of the research, clinical trials, regulatory, marketing and healthcare support aspects of the industry Should have core understanding of the various data types and sources relevant to the industry, such as for genes, proteins, KOLs, indications, interventions, patents, hospitals, publications, regulatory guidelines, and so on Should have experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning in Pharma, Life Sciences and Healthcare domain. Strong analytical thinking and hands-on experience in analytics problem solving. In-depth understanding of AI technologies, including GenAI, machine learning, natural language processing, computer vision, and predictive analytics. Formal Degree/Certification in AI/ML is an added advantage. Experience with writing communications such as strategy papers or white papers. Participated in the product management and marketing lifecycles (directly or indirectly) A confident communicator with an executive presence, able to clearly explain the program to non-technical and technical audiences. Good to have experience of cloud- based development and deployment of solutions across one of AWS, GCP or Azure. Should have hired and nurtured talent and grow them in market facing specialists and consultants. Should have built a community of practice on AI.
