Associate Engagement Manager, GxP Validation — Mumbai On-site
Quantiphi
Lead GxP validation and cloud infrastructure qualification for Quantiphi. Support regulated life sciences systems from an on-site role in Mumbai, Bengaluru, or Trivandrum.
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Otsuka Pharmaceutical Companies (U.S.) ऐसी दवा कंपनियों को एक साथ लाता है जो उत्पादों के व्यावसायीकरण और क्लिनिकल विकास के माध्यम से स्वास्थ्य सेवा को आगे बढ़ाने पर केंद्रित हैं। Otsuka America Pharmaceutical, Inc. उत्तरी अमेरिका में Otsuka द्वारा खोजी गई और लाइसेंस के तहत प्राप्त दवाओं का व्यावसायीकरण करती है, जबकि Otsuka Pharmaceutical Development & Commercialization, Inc. अभिनव स्वास्थ्य उत्पादों के क्लिनिकल विकास और वैश्विक पंजीकरण का नेतृत्व करती है तथा न्यूरोसाइंस में विशेष विशेषज्ञता रखती है। मिलकर, ये संगठन फार्मास्यूटिकल्स, स्वास्थ्य सेवा और जैव-प्रौद्योगिकी के क्षेत्रों में बेहतर स्वास्थ्य को समर्थन देने वाले समाधान विकसित करने पर ध्यान केंद्रित करते हुए काम करते हैं।
Associate Director, AI and Data Scientist - Otsuka, New Jersey Remote
Lead AI, machine learning, and agentic solution development for Otsuka’s pharmaceutical R&D operations. Shape enterprise AI product strategy, deployment, and cross-functional transformation.
संयुक्त राज्य
न्यू जर्सी$1,69,222 – $2,53,000 / वर्ष
रिमोटपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिकविवरण
- Create AI product visions and roadmaps that reflect business priorities, technology developments, and market conditions
- Advance Data Science and AI portfolio goals while supporting data and analytics strategies for R&D Operations
- Build, train, fine-tune, validate, and assess AI and machine learning models for business needs
- Deliver enterprise AI systems using prompt engineering, embeddings, fine-tuning, large language models, and generative AI
- Run proof-of-concept initiatives and create AI applications that strengthen analytics and speed drug development
- Track product performance through data analysis and KPIs, using findings to inform decisions
- Develop AI solutions from pharmaceutical R&D, drug development, clinical trial, and external healthcare data
- Create user-focused AI products that earn trust, encourage adoption, and enable organizational transformation
- Advise on AI ecosystems, platforms, frameworks, architectures, and emerging technical capabilities
- Support developers, technical staff, and vendors with guidance on AI concepts and implementation
- Architect, build, and deploy agentic AI systems incorporating perception, planning, reasoning, orchestration, execution, and reflection
- Manage AI solution lifecycles and updates through MLOps and LLMOps practices and tools
- Lead AI adoption, enablement, change management, and responsible-use initiatives
- Assess AI and machine learning use cases against applicable guidelines, frameworks, platform components, and responsible AI standards
- Create reusable data and AI components and encourage scalable reuse across functions
- Direct cross-functional groups spanning technical, semi-technical, and business stakeholders
- Report AI progress, results, impact, constraints, and risks to stakeholders
- Work with internal functions and external partners to conceive, build, and co-develop AI and machine learning capabilities
- Coordinate with legal, privacy, and ethics teams on bias, fairness, transparency, and data privacy
- Work effectively through iterative experimentation while navigating ambiguity in AI product development
आवश्यकताएँ
- Master’s degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related field focused on advanced data science, AI, and machine learning
- Expertise using real-world data assets to produce scientific evidence and improve operational effectiveness and efficiency
- Advanced knowledge of data engineering, data representation, generative AI, artificial intelligence, and machine learning methods
- Experience designing architectures and delivering AI and machine learning use cases
- Background developing AI products that combine AI, Data Science, and Machine Learning
- Thorough understanding of AI and machine learning applications in the pharmaceutical industry
- Experience with Dataiku Data Science Studio, Snowflake, AWS SageMaker, or comparable data science platforms
- Knowledge of integrating machine learning and AI technologies with data engineering pipelines
- Strong command of the Software Development Life Cycle and the data science development lifecycle, including CRISP
- Awareness of testing and validation practices for GxP and non-GxP environments
- Experience engineering software or products based on AI and machine learning
- Familiarity with testing, validation, and GxP validation principles
- Experience designing, building, and sustaining large-scale data and AI solutions in scientific, regulated, or research-intensive settings
- Pharmaceutical, biotech, or life sciences experience—especially in drug development, clinical trials, or R&D—is highly desirable
- Demonstrated success delivering generative AI and large language model applications into production
- Experience using claims, clinical trial, regulatory, quality, and other life sciences operations data
- Demonstrated delivery of proof-of-concept and production-grade AI, machine learning, generative AI, and LLM applications
- Understanding of data collection, governance, and structuring challenges that affect AI outcomes
- Excellent communication and stakeholder management abilities
- Strong cross-functional collaboration and project management capabilities
लाभ
- Opportunity to earn incentive compensation
- Medical, dental, vision, and prescription drug coverage
- Employer-provided basic life insurance
- Accidental death and dismemberment insurance
- Short- and long-term disability coverage
- Tuition reimbursement
- Student loan assistance
- Generous 401(k) matching contribution
- Flexible time off
- Paid holidays
- Paid leave programs
- Additional employer-provided benefits
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