{"id":1349,"date":"2025-07-11T04:03:20","date_gmt":"2025-07-11T04:03:20","guid":{"rendered":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/senior-specialist-gen-ai-business-analyst-life-sciences\/"},"modified":"2025-07-11T04:03:20","modified_gmt":"2025-07-11T04:03:20","slug":"senior-specialist-gen-ai-business-analyst-life-sciences","status":"publish","type":"post","link":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/senior-specialist-gen-ai-business-analyst-life-sciences\/","title":{"rendered":"Senior Specialist &#8211; Gen AI Business Analyst (Life Sciences)"},"content":{"rendered":"<p>Job Description Summary In this role you will lead an impactful deliverable across the pharma value chain from drug discovery to commercialization by leveraging Indepth understanding in business process and Generative AI<span class=\"br\"><\/span><b>Job Description<\/b><span class=\"br\"><\/span><b>Major accountabilities:<\/b><span class=\"br\"><\/span>Domain Expertise:<span class=\"br\"><\/span>Possess a knowledge across the end-to-end pharmaceutical value chain, including drug discovery, preclinical and clinical trials, regulatory affairs, pharmacovigilance, technical operations (manufacturing, supply chain, and quality assurance), and commercial operations (market access, sales, and marketing), to lead AI-driven initiatives.<span class=\"br\"><\/span>Stay updated on advancements in Generative AI and their applications to optimize processes across the pharmaceutical value chain, from R&#038;D to commercialization.<span class=\"br\"><\/span>Business Analysis:<span class=\"br\"><\/span>Partner with senior stakeholders across R&#038;D, manufacturing, and commercial teams to gather, document, and analyse complex business requirements, ensuring alignment with strategic organizational goals.<span class=\"br\"><\/span>Conduct in-depth analyses of business processes across the E2E value chain, identifying opportunities for Generative AI to enhance efficiency, quality, and market competitiveness.<span class=\"br\"><\/span>Develop detailed business cases, feasibility studies, and cost-benefit analyses to prioritize AI initiatives in drug development, manufacturing optimization, and commercial strategies.<span class=\"br\"><\/span>Create comprehensive business requirements documents, process flow diagrams, and solution blueprints to guide AI implementation across the value chain.<span class=\"br\"><\/span>Stakeholder Engagement:<span class=\"br\"><\/span>Translate complex AI concepts into actionable insights for technical and non-technical stakeholders in R&#038;D, technical operations, and commercial teams, securing buy-in and alignment.<span class=\"br\"><\/span>Facilitate workshops, strategy sessions, and cross-functional meetings to drive consensus on AI projects spanning discovery to commercialization.<span class=\"br\"><\/span>Mentor junior analysts to build team capability in AI-driven business analysis within the pharmaceutical value chain.<span class=\"br\"><\/span>Generative AI:<span class=\"br\"><\/span>Leverage Generative AI to analyse large, complex datasets across the value chain, uncovering patterns, trends, and insights for applications like drug candidate identification, manufacturing process optimization, and market demand forecasting.<span class=\"br\"><\/span>Collaborate with data scientists and AI engineers to design, develop, and deploy AI models tailored to specific needs in R&#038;D, manufacturing, and commercial operations.<span class=\"br\"><\/span>Ensure AI solutions are interpretable, scalable, and integrated into workflows across the E2E value chain, from lab to market.<span class=\"br\"><\/span>Regulatory &#038; Ethical Compliance:<span class=\"br\"><\/span>Ensure AI solutions comply with global regulatory requirements (e.g., USFDA, EU, PMDA) and ethical standards across all stages of the pharmaceutical value chain, including manufacturing and commercial activities.<span class=\"br\"><\/span>Identify and mitigate risks related to AI deployment, such as data privacy, model bias, and compliance with Good Manufacturing Practices (GMP).<span class=\"br\"><\/span><b>Minimum Requirements:<\/b><span class=\"br\"><\/span>Possess 6\u20138 years of core Business Analyst experience in the life sciences domain, with at least 3 years focused on AI technologies across the pharmaceutical value chain (R&#038;D, manufacturing, and commercial operations), complemented by a master\u2019s degree in Life Sciences, Biomedical Sciences, Computer Science, Data Science, or a related field. A PhD is a plus.<span class=\"br\"><\/span>Strong understanding of Generative AI, machine learning, and their applications in drug discovery, clinical trials, manufacturing, and commercial strategies. Proficiency in data analysis and visualization tools (e.g., Python, R, Tableau) to interpret complex datasets.<span class=\"br\"><\/span>Proven project management skills, with a track record of leading AI-related projects in at least one segment of the pharmaceutical value chain.<span class=\"br\"><\/span>Strong analytical and problem-solving abilities, with a strategic mindset and attention to detail.<span class=\"br\"><\/span>Exceptional communication and interpersonal skills, with the ability to mentor teams and influence stakeholders across R&#038;D, technical operations, and commercial functions.<span class=\"br\"><\/span>Familiarity with pharmaceutical regulatory requirements (e.g., FDA, EMA, PMDA) and industry standards, including GMP and commercial compliance.<span class=\"br\"><\/span>Why consider Novartis?<span class=\"br\"><\/span>Our purpose is to reimagine medicine to improve and extend people\u2019s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!<br \/>\n       Learn more here:<span class=\"br\"><\/span>https:\/\/www.novartis.com\/about\/strategy\/people-and-culture<span class=\"br\"><\/span><b>Commitment to Diversity and Inclusion:<\/b><br \/>\n       Novartis is committed to building an outstanding, inclusive work environment and diverse teams&#8217; representative of the patients and communities we serve.<br \/>\n       Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:<br \/>\n       https:\/\/talentnetwork.novartis.com\/network<span class=\"br\"><\/span><b>Skills Desired<\/b><\/p>\n<p><center><b><a rel=\"nofollow noopener\" href=\"https:\/\/www.careerjet.co.in\/jobad\/inb6a2435a34ca904c0b0f40f575b22f1a?affid=0852fd5db5a52cbcd75bf945aa534932\" class=\"button purchase\" target=\"_blank\">Apply Now<\/a> <\/b><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Job Description Summary In this role you will lead an impactful deliverable across the pharma value chain from drug discovery to commercialization by leveraging Indepth understanding in business process and Generative AI Job Description Major accountabilities: Domain Expertise: Possess a knowledge across the end-to-end pharmaceutical value chain, including drug discovery, preclinical and clinical trials, regulatory<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[12],"tags":[],"class_list":["post-1349","post","type-post","status-publish","format-standard","hentry","category-data-science-jobs"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"jetpack-related-posts":[],"jetpack_shortlink":"https:\/\/wp.me\/pgs0IK-lL","_links":{"self":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/1349","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/comments?post=1349"}],"version-history":[{"count":0,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/1349\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/media?parent=1349"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/categories?post=1349"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/tags?post=1349"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}