AI Practice Lead - Life Sciences & Healthcare

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

This Remote Position Cannot be Performed in New York City.

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.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance's key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.