Associate Director, AI and Data Scientist

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Create comprehensive AI product visions and roadmaps that align with business goals, technological advancements, and market dynamics.

• Execute objectives for the Data Science and AI portfolio while contributing to data and analytics strategies for R&D Operations.

• Experiment with, develop, train, fine-tune, validate, and assess AI/ML models to solve business challenges.

• Build and deploy enterprise AI systems utilizing prompt engineering, embeddings, fine-tuning, LLMs, and generative AI techniques.

• Carry out proof-of-concept projects and create AI applications that improve data analytics and expedite drug development processes.

• Leverage data analysis and KPIs to track product performance and inform data-driven decision-making.

• Develop AI solutions that integrate Pharma R&D, drug development, clinical trial, and external healthcare data.

• Design user-focused AI-enabled products that foster trust, drive adoption, and support transformational initiatives.

• Provide technical guidance on AI ecosystems, platforms, frameworks, architectures, and emerging capabilities.

• Mentor developers, technical team members, and vendors on AI principles and implementation strategies.

• Design, implement, and roll out agentic AI systems utilizing perception, planning, reasoning, orchestration, execution, and reflection loops.

• Manage the lifecycle and updates of AI solutions through MLOps and LLMOps methodologies and tools.

• Spearhead the adoption, enablement, change management, and responsible use of AI technologies.

• Assess AI/ML use cases for adherence to guidelines, frameworks, platform components, and responsible AI standards.

• Create reusable data and AI solution components, promoting scalable reuse across various business functions.

• Lead cross-functional teams comprising technical, semi-technical, and business stakeholders.

• Communicate progress, outcomes, impacts, limitations, and risks of AI initiatives to stakeholders.

• Collaborate with internal departments and external partners to conceptualize and co-develop AI/ML capabilities.

• Work with legal, privacy, and ethics teams to address algorithmic bias, fairness, transparency, and data privacy issues.

• Adapt to experimentation and iteration cycles while managing uncertainties in AI product development.

⛳️ Requirements

• A Master’s degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related field with an emphasis on advanced and contemporary Data Science, including AI and machine learning.

• Proficiency in real-world data assets, utilizing them to produce scientific evidence and enhance operational effectiveness and efficiencies.

• Extensive knowledge across data engineering, data representation, generative AI, AI, and machine learning methodologies.

• Experience in architecting and delivering AI/ML use cases.

• Background in AI product development leveraging AI, Data Science, and Machine Learning.

• In-depth understanding of AI and Machine Learning applications within the pharmaceutical sector.

• Familiarity with data science platforms such as Dataiku Data Science Studio, Snowflake, AWS SageMaker, or similar.

• Knowledge of machine learning and AI technologies, particularly regarding their integration with data engineering workflows.

• Strong grasp of the Software Development Life Cycle (SDLC) and the data science development lifecycle (CRISP).

• Awareness of testing and validation methodologies related to GxP and non-GxP environments.

• Experience in AI and ML-based software/product engineering.

• Familiarity with testing and validation principles and GxP validation processes.

• Proven experience in architecting, building, and maintaining large-scale data and AI solutions in scientific, regulated, or research-intensive settings.

• Significant experience in the pharmaceutical, biotech, or life sciences industries, especially in drug development, clinical trials, or R&D, is highly desirable.

• Demonstrated success in implementing and deploying generative AI and large language model applications in production environments.

• Experience with datasets related to claims, clinical trials, regulatory compliance, quality assurance, and other life sciences operations.

• Proven record of implementing proof-of-concept and production-level AI/ML, generative AI, and LLM applications.

• Understanding of data collection, governance, and structuring challenges to achieve better AI outcomes.

• Excellent communication and stakeholder management abilities.

• Strong cross-functional collaboration and project management skills.

🏝️ Benefits

• Incentive opportunity.

• Comprehensive medical, dental, vision, and prescription drug coverage.

• Basic life insurance provided by the company.

• Accidental death & dismemberment insurance.

• Short-term and long-term disability insurance.

• Tuition reimbursement.

• Student loan assistance.

• Generous 401(k) matching program.

• Flexible time off policy.

• Paid holidays.

• Paid leave programs.

• Additional company-provided benefits.