{"id":63928,"url":"https://alion.io/job/roche-data-scientist-rdt-pharma-rd","title":"Data Scientist - RDT Pharma R&D","company":{"id":13531,"name":"Roche","domain":"roche.com","url":"https://alion.io/company/roche","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":212,"ghost_share":0.024,"stale_share":0.59,"repost_share":0.085,"time_to_fill_p50_days":14,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SAS","optional":false},{"name":"AutoGen","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"CrewAI","optional":true},{"name":"Docker","optional":true},{"name":"Explainable AI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"GitOps","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Hybrid Search","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Neo4j","optional":true},{"name":"Plotly","optional":true},{"name":"Power BI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"R","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Shiny","optional":true},{"name":"Tableau","optional":true},{"name":"TensorFlow","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-14T18:18:29Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":56},"description":"At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.\nThe Position\nJob Description\nThe Lead IT Data Scientist is responsible for architecting, leading, and delivering advanced AI and data science solutions that address complex business and scientific challenges within Pharma R&D. This role serves as a technical leader, guiding the design, development, deployment, and governance of enterprise-scale AI/ML systems while mentoring junior data scientists and driving innovation across the organization.\nOperating in a highly regulated GxP environment, you will lead the development of next-generation AI-powered platforms and specialized autonomous agents supporting Analytical Data Scientists across the clinical data lifecycle. The role requires deep expertise in Generative AI, Agentic AI frameworks, multi-agent orchestration, Graph-based Retrieval-Augmented Generation (GraphRAG), Large Language Model Operations (LLMOps), and AI platform engineering. You will define technical strategy, establish best practices, and collaborate with cross-functional teams to ensure scalable, compliant, and business-aligned AI solutions.\nDescription of the Area\nThe Clinical Submission Data and Content Generation & Reuse function focuses on transforming the creation, management, and reuse of clinical data and regulatory submission content through advanced digital capabilities and AI-driven automation. The organization develops structured content management platforms, reusable data and content assets, and intelligent agent ecosystems that support clinical submissions, regulatory compliance, and scientific communication.\nThe team is at the forefront of leveraging Generative AI, Agentic Workflows, Knowledge Graphs, and advanced analytics to improve quality, accelerate submission timelines, and enable data-driven decision-making across the clinical and regulatory landscape.\nJob Responsibilities\n1. Scope / Content Leadership\nLead the architecture, development, and deployment of enterprise-grade AI/ML solutions and agentic systems.\nDrive multiple strategic data science initiatives simultaneously, ensuring alignment with business priorities.\nDefine technical standards, reusable frameworks, and best practices for AI and machine learning development.\nDesign and implement enterprise-wide data science frameworks, governance models, and best practices to ensure consistency, scalability, and operational excellence across AI initiatives.\nMentor and guide data scientists, fostering technical excellence and innovation across the team.\nLead complex data science projects end-to-end, from problem definition and solution design through deployment, adoption, and measurable business impact.\n2. Accountability / Problem Solving\nSolve highly complex and ambiguous business problems using advanced statistical modeling, machine learning, and generative AI techniques.\nDesign and implement sophisticated multi-agent workflows using frameworks such as LangGraph and AWS AgentCore.\nLead development of intelligent automation solutions including autonomous code reviewers, clinical workflow copilots, AI-driven debugging assistants, and submission content generation agents.\nDrive model validation, monitoring, explainability, and AI governance practices in regulated environments.\n3. Stakeholder Management\nPartner with senior business leaders, clinical experts, statisticians, and technology teams to identify strategic opportunities for AI adoption.\nTranslate complex analytical concepts into actionable business insights for executive and non-technical audiences.\nInfluence key stakeholders on AI strategy, roadmap prioritization, and solution adoption.\nWork closely with senior leadership to inform, shape, and influence strategic business decisions through data-driven insights, advanced analytics, and AI-enabled recommendations.\n4. Impact / Strategy\nDefine and execute the technical roadmap for advanced analytics, Generative AI, and agentic AI capabilities within the function.\nLead high-impact projects that directly influence organizational objectives, innovation initiatives, and operational efficiency.\nEvaluate emerging technologies and recommend scalable solutions that advance business transformation.\n5. Complexity / Product Size\nWork with large-scale clinical, regulatory, and enterprise datasets across structured and unstructured formats.\nDesign scalable AI architectures supporting production-grade solutions with high reliability and compliance requirements.\nDrive optimization of existing models and establish frameworks for continuous improvement and performance monitoring.\n6. Business / Technical Ability\nDemonstrate deep expertise across multiple AI/ML domains including predictive modeling, NLP, knowledge graphs, GraphRAG, and agent-based systems.\nApply strong software engineering principles to develop secure, scalable, and maintainable AI products.\nLead technical decision-making related to model architecture, framework selection, cloud infrastructure, and deployment strategies.\nQualifications\nEducation / Experience\nMaster's or PhD in Data Science, Computer Science, Statistics, Artificial Intelligence, Bioinformatics, Mathematics, or related quantitative discipline.\n8-12 years of experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or similar domains.\nProven experience leading end-to-end AI/ML initiatives from ideation through production deployment and business adoption.\nExtensive experience leading complex data science projects from end-to-end and delivering significant, measurable business impact.\nDemonstrated success in delivering enterprise-scale solutions that influence strategic business outcomes.\nProven track record of partnering with senior executives and business leaders to drive data-informed strategic decision-making.\nExperience mentoring data scientists and providing technical leadership across cross-functional teams.\nExperience working within regulated environments such as Pharmaceutical, Healthcare, Life Sciences, or other compliance-driven industries is preferred.\nTechnical Skills\nProgramming & Data Engineering\nExpert-level proficiency in Python for AI/ML development, agent orchestration, backend services, and automation solutions.\nStrong hands-on expertise in R for clinical statistical programming, NextGen programming frameworks (e.g., Admiral), and analysis workflows.\nWorking knowledge of SAS and clinical programming standards is desirable.\nStrong understanding of software engineering concepts, APIs, microservices, CI/CD pipelines, GitOps, and testing frameworks.\nGenerative AI & Agentic Systems\nDeep expertise in Large Language Models (LLMs), Prompt Engineering, Fine-tuning, Agentic AI, and AI application architecture.\nExtensive experience with LangChain, LangGraph, CrewAI, AWS AgentCore, AutoGen, Semantic Kernel, and Model Context Protocol (MCP).\nProven experience designing multi-agent architectures, autonomous workflows, reasoning systems, and human-in-the-loop AI solutions.\nStrong understanding of AI safety, governance, observability, evaluation frameworks, and responsible AI practices.\nRAG, Knowledge Graphs & Search\nAdvanced experience in Retrieval-Augmented Generation (RAG), Agentic RAG, Hybrid Search, and GraphRAG implementations.\nExpertise in chunking strategies, embedding models, vector databases, semantic retrieval, re-ranking techniques, and metadata-driven search.\nExperience with Neo4j, Knowledge Graphs, graph databases, ontologies, and enterprise search architectures.\nMachine Learning & Advanced Analytics\nStrong expertise in supervised and unsupervised learning, predictive modeling, NLP, deep learning, and time-series analysis.\nExperience with TensorFlow, PyTorch, Scikit-learn, XGBoost, and modern ML frameworks.\nStrong foundation in experimental design, statistical inference, model evaluation, and explainable AI techniques.\nCloud & MLOps / LLMOps\nExperience deploying AI solutions on AWS, Azure, or GCP platforms.\nStrong expertise in MLOps and LLMOps practices including model lifecycle management, monitoring, evaluation, governance, and automation.\nExperience with containerization technologies such as Docker, Kubernetes, and cloud-native AI deployments.\nData Visualization & Reporting\nExpertise in developing impactful visualizations and dashboards using tools such as Tableau, Power BI, R Shiny, Plotly, or Python visualization libraries.\nAbility to communicate complex analytical insights through compelling storytelling and executive-ready presentations.\nAdditional Qualifications\nExceptional communication and presentation skills with the ability to influence senior stakeholders and executive leadership.\nStrong leadership and mentoring capabilities with experience building high-performing teams.\nAbility to balance strategic thinking with hands-on technical execution.\nDemonstrated innovation mindset and ability to identify emerging technology opportunities.\nStrong collaboration skills across business, clinical, regulatory, and technology organizations.\nDemonstrated experience establishing enterprise-wide data science standards, operating models, governance practices, and reusable frameworks across large organizations.\nExperience supporting GxP-compliant systems, validation processes, and regulatory requirements related to AI solutions is highly desirable. Shift: CET time zone #Hyderabad2026\nWho we are\nA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.\nLet’s build a healthier future, together.\nRoche is an Equal Opportunity Employer.","description_format":"text","description_chars":10392,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Biotechnology","Health Care","Biologics & Biosimilars"],"lifecycle":[{"event":"open","at":"2026-08-19T00:00:00Z"},{"event":"close","at":"2026-09-03T19:02:00Z"},{"event":"reopen","at":"2026-10-08T18:08:13Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.285,"p_room":0.28,"age_days":56,"expected_fill_days":14,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/roche-data-scientist-rdt-pharma-rd","json_url":"https://alion.io/job/roche-data-scientist-rdt-pharma-rd.json","meta":{"generated_at":"2026-10-14T21:56:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":29396,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":13531},"rest":"https://alion.io/mcp/rest/get_company?id=13531"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Froche-data-scientist-rdt-pharma-rd"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Froche-data-scientist-rdt-pharma-rd"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Froche-data-scientist-rdt-pharma-rd"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/roche-data-scientist-rdt-pharma-rd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Froche-data-scientist-rdt-pharma-rd"}]}