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AI Practice Lead - Life Sciences & Healthcare

EPAM Systems · New York, NY, United States · Remote · Lead

Salary Salary not disclosed

About the role

EPAM AI consulting practice focuses on unlocking business value for organizations through end-to-end AI/ML solutions and platforms. From advanced analytics, marketing intelligence, and NLP to Responsible AI and MLOps, EPAM has delivered hundreds of solutions to production.

We are looking for an AI leader to spearhead the initiatives across our Life Sciences and Healthcare Portfolio. This is a role where you will oversee the entire lifecycle of AI solutions, from ideation through delivery and growth, in step with technology and market trends.

The ideal candidate thrives in ambiguity and can continually adapt to ensure their contributions make a tangible impact in the world. If you are curious, persistent, creative and ready to roll up your sleeves when the stakes are high, EPAM provides the perfect environment to experiment, iterate, learn, and see the impact of your work. Be ready to join an organization that takes genuine pleasure in solving problems, collaborating across disciplines, and witnessing the reach of its impact.

Req.#1043089053

Responsibilities

Work with EPAM’s clients and EPAM internal teams (business SME’s, account management teams, etc.) to shape the AI/ML/Agentic business and technology vision and GTM offerings aligned with current and emerging needs

Manage end-to-end Data Science, AI, and Agentic projects/programs

Lead multidisciplinary workshops and design sessions with customers

Develop high-quality proposals in conjunction with other SMEs and consultants

Work on EPAM’s Data Science, AI, and Agentic offerings from a point of view

Take an active part in growing the EPAM team’s capacity and capability including building new competencies, selecting, and mentoring new team members. Acts as an agent of change internally and a champion of transformation with external stakeholders

Requirements

10+ years of experience as Data Science Lead, Machine Learning Engineering Lead, or similar roles in the Healthcare, Pharmaceutical, MedTech/BioTech space

5+ years in a leadership role with team management responsibilities

Demonstrated expertise in one or more areas of the life sciences or healthcare value chain (e.g., R&D, Clinical, Commercial, Manufacturing, Payer, or Provider), pharma manufacturing

Great communication skills: ability to communicate AI and LSHC concepts compellingly to a variety of audiences with ease

Hands-on experience, focused in at least one of the following domains: computer vision, NLP/language models, recommender systems, time series analytics

Machine Learning Engineering/ Production delivery experience, ML/LLMOps. Experience working with one or more major cloud providers

Knowledge of one or more of the following technologies: Databricks, Snowflake, Agentic Orchestration (LangChain, Omnigent, Semantic Kernel, etc.)

Working knowledge of at least one programming language, ideally Python

Understanding of Data Science engineering excellence and the modern SDLC for AI products

Consulting experience (internal or through a professional services firm)

Nice to have

Currently acting as an AI leader for a healthcare or life science organization

Referenceable work (papers, open-source contributions, conference talks) around the AI / ML space

Current cloud certifications for at least one of: AWS, GCP, Azure, Databricks

Experience navigating regulatory processes, ISO/IEC Standards, HIPAA, EU AI Act, GxP, etc.

We offer

Medical, Dental and Vision Insurance (Subsidized)

Health Savings Account

Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

Short-Term and Long-Term Disability (Company Provided)

Life and AD&D Insurance (Company Provided)

Employee Assistance Program

Unlimited access to LinkedIn learning solutions

Matched 401(k) Retirement Savings Plan

Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)

Paid Holidays - nine (9) total per year

Legal Plan and Identity Theft Protection

Accident Insurance

Employee Discounts

Pet Insurance

Employee Stock Purchase Program

If otherwise eligible, participation in the discretionary annual bonus program

If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

For remote work in New York City only.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Engineer the Future with a Career at EPAM

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $200,000 - $250,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

Applications will be accepted on a rolling basis.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.

Skills

Python AWS Azure GCP Machine Learning Data Science

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