Job Details

Location: Anywhere in Country

Overview

At EY we help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

Opportunity

Our Artificial Intelligence and Datateam applies cutting‑edge technology to deliver solutions to clients. In this role you will research, build and implement scalable AI systems, enhance data pipelines, monitor learning processes, and ensure compliance with healthcare regulations while creating solutions across cloud and on‑premises environments. You will work side‑by‑side with clients and life sciences stakeholders, building knowledge that can be applied across a wide range of projects.

Key Responsibilities

• Lead workstream delivery and manage effective processes and projects.
• Continuously improve processes by identifying innovative solutions through research and analysis.
• Manage professional employees and supervise teams to deliver complex technical initiatives, holding accountability for performance and results.
• Engage actively with clients, participate in daily working sessions, and lead workstreams from planning through execution to closure.
• Identify and develop new business opportunities within the life sciences domain.
• Collaborate with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.
• Identify opportunities for additional services and manage engagement economics.

Skills and Attributes for Success

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
• Strong judgment in selecting methods and techniques for obtaining results.
• Experience leveraging AI to support drug discovery and development processes.
• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.
• Experience in managing client relationships and delivering high‑quality service.
• Ability to lead teams effectively and manage change within the organization.

Qualifications

• Bachelor's degree (4‑year degree).
• 6–10 years of full‑time experience in AI, Data Science, and/or Machine Learning.
• 2–4 years of experience directly managing technical teams.
• Strong skills in Python.
• Ability to lead, collaborate, and communicate effectively with diverse, hybrid, and global teams.
• Experience designing, building, and maintaining high‑impact AI/ML solutions on a major cloud platform.
• Proficient in generative AI models and frameworks (e.g., OpenAI, DALL‑E, LangChain, Retrieval‑Augmented Generation) and experienced with ML packages like scikit‑learn and PyTorch.
• Experience with natural language processing and deep learning.
• Extensive experience in DevOps tools (Git, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines.
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
• Experience with model retraining and feedback loop methodologies.
• Experience with model and solution monitoring and reporting.
• Understanding of data structures, data modelling, and software engineering best practices.
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
• Experience with life science commercial operations data standards and interoperability protocols.
• Excellent communication skills for conveying findings and recommendations, with willingness to travel for client engagements.
• Skills in technical design optimization.
• Strong relationship‑building skills.
• Demonstrated client trust and value.
• Digital fluency and emotional agility.
• Commercial acumen and negotiation skills.
• Proven ability to lead teams and manage change.

Preferred Qualifications

• Deep understanding of and ability to teach concepts, tools, and benefits of different approaches.
• Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
• Experience working with diverse teams to deliver complex solutions.
• Strong skills in languages beyond Python (R, JavaScript, Java, C++, C).
• Experience fine‑tuning generative AI models.
• Experience managing complex projects with multiple stakeholders.
• Strong understanding of industry trends and emerging technologies in life sciences.
• Skills in data visualization and storytelling with data.
• Experience with image processing techniques and/or speech, audio processing, and analysis.

Benefits

• Comprehensive compensation and benefits package with performance‑based rewards and recognition.
• Competitive base salary range: $125,500–$230,200 (US) and $150,700–$261,600 for certain metro areas.
• Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and paid time off options.
• Hybrid work model with flexible on‑site requirements (40‑60% in person).
• Flexible vacation and leave policy tailored to personal circumstances.

EY provides equal employment opportunities. All qualified applicants will receive consideration without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY complies with applicable law and provides reasonable accommodation to qualified individuals with disabilities. For assistance with accommodations, contact 1‑800‑EY‑HELP3.