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Pharma Ai Jobs (NOW HIRING)

Pharma AI Engagement Manager

Manhattan, NY · On-site

$180 - $220/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Pharma AI Engagement Manager Multiple locations based on client demand, including New York City, New Jersey, Boston, and Maryland. This role requires onsite presence at Fractal offices or client ...

If you have 10 or more years of engineering, data, and AI experience in pharma or life sciences -- and you have shipped production AI, not just built PoCs -- we want to talk to you. Position Summary:

New

If you have 10 or more years of engineering, data, and AI experience in pharma or life sciences - and you have shipped production AI, not just built PoCs - we want to talk to you. Position Summary:

Drive execution across AI product, pharma partnerships, operations, and fundraising * Help prepare investor materials, board updates, and executive communications * Coordinate cross-functional ...

• Lead BI and AI-driven analytics initiatives across Pharma/Life Sciences projects. • Design and implement dashboards, KPIs, and reporting solutions using tools such as Power BI, Tableau, Qlik ...

$180 - $232/hr

We continue to outpace the competition by integrating Artificial Intelligence (AI) and Machine Learning (ML) into our cloud-based platforms-Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™ ...

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Pharma Ai information

What is the difference between Pharma Ai vs Pharma Data Analyst?

AspectPharma AiPharma Data Analyst
Required CredentialsBackground in AI, machine learning, or data science; often includes certifications in AI toolsDegree in data analysis, statistics, or related field; proficiency in data tools and software
Work EnvironmentTech-focused teams within pharmaceutical companies or AI startupsResearch labs, clinical settings, or pharmaceutical companies
Industry UsageDevelops AI models for drug discovery, patient data analysis, and predictive modelingAnalyzes clinical data, reports, and supports decision-making processes

Pharma Ai specialists focus on developing and implementing AI solutions in the pharmaceutical industry, often requiring advanced technical skills in AI and machine learning. In contrast, Pharma Data Analysts primarily interpret clinical and research data using statistical tools. Both roles are vital but differ in technical depth and focus areas within the pharmaceutical sector.

What are some common challenges faced by professionals working in Pharma AI, and how can they be addressed?

Professionals in Pharma AI often face challenges such as integrating large, complex biomedical datasets, ensuring data privacy and regulatory compliance, and effectively communicating insights to interdisciplinary teams. Navigating these issues requires strong collaboration skills, familiarity with data governance best practices, and an ability to translate technical findings into actionable recommendations for researchers and clinicians. Staying updated with evolving AI tools and regulatory standards is essential for success and long-term career growth in this dynamic field.

What is Pharma AI?

Pharma AI refers to the use of artificial intelligence technologies in the pharmaceutical industry to accelerate drug discovery, improve clinical trial efficiency, optimize manufacturing, and enhance patient care. By leveraging machine learning, data analysis, and automation, Pharma AI helps researchers identify promising drug candidates, predict drug interactions, and analyze vast amounts of biomedical data. This leads to faster development timelines, reduced costs, and more personalized medicine options for patients.

What are the key skills and qualifications needed to thrive in a Pharma AI role, and why are they important?

To thrive in a Pharma AI role, you need a solid background in pharmaceutical sciences or life sciences, strong data analysis skills, and expertise in artificial intelligence or machine learning, typically supported by advanced degrees or certifications. Familiarity with programming languages (such as Python or R), AI frameworks (like TensorFlow or PyTorch), and pharmaceutical data systems is essential. Strong problem-solving, communication, and cross-functional collaboration skills help bridge the gap between scientific teams and technical stakeholders. These competencies are vital for developing impactful AI solutions that advance drug discovery, optimize processes, and enhance patient outcomes in the pharmaceutical industry.
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What cities are hiring for Pharma Ai jobs?

Cities with the most Pharma Ai job openings:

What states have the most Pharma Ai jobs?

States with the most job openings for Pharma Ai jobs include:

Infographic showing various Pharma Ai job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% Hybrid, and 50% Remote job distribution.

Pharma AI Engagement Manager

JobRx, Inc.

Manhattan, NY • On-site

$180 - $220/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Pharma AI Engagement Manager

Multiple locations based on client demand, including New York City, New Jersey, Boston, and Maryland. This role requires onsite presence at Fractal offices or client sites, based on the engagement.

Note

This position is not eligible for Immigration Sponsorship at this time.

Role Overview

As a Pharma AI Engagement Manager in the Healthcare & Life Sciences practice, you will lead AI‑driven enterprise transformations for senior life sciences clients, delivering against CEO‑level mandates. You will execute AI foundations and functional AI programs at scale, drive delivery quality and growth, and expand long‑term client partnerships. This role owns strategic Fortune 100 pharma accounts, growing multi‑million‑dollar relationships across major U.S. life sciences markets while ensuring Fractal consistently delivers at the highest standard.

Responsibilities
  • Own delivery and growth for Fortune 50 pharma accounts, driving $5M+ in annual consulting and delivery revenue
  • Lead large, multi‑program AI and GenAI initiatives, including field force transformation, omnichannel analytics, next best action, content tagging, patient services, and field force copilot solutions
  • Partner closely with the Global Pharma Practice Head and India delivery teams across AI, MLOps, LLMOps, cloud engineering, and analytics
  • Ensure strong client outcomes and satisfaction, with a target NPS of 75+
  • Serve as the primary senior client contact, managing executive relationships, escalations, and complex stakeholder environments
  • Develop and execute account plans aligned to client priorities, including QBRs, MBRs, and joint business plans
  • Represent Fractal's full portfolio across AI, engineering, design, behavioral science, and pharma analytics
  • Manage account economics, including utilization, margins, and delivery health
  • Drive proposals, client presentations, and commercial discussions in support of new and expanded work
  • Lead and influence cross‑functional teams through indirect management, providing direction, coaching, and oversight
  • Act as a long‑term strategic partner to clients and an active contributor to the growth of the HLS practice
Qualifications
  • 10+ years of experience delivering and growing analytics and AI programs for Fortune 500 life sciences clients
  • 5+ years of consulting experience in life sciences
  • 5+ years leading AI initiatives, including GenAI, for large enterprise clients
  • Strong understanding of cloud platforms (AWS, Azure, or GCP) and enterprise AI delivery
  • Proven commercial judgment with the ability to connect client challenges to business outcomes
  • Experience engaging senior executives (CIO, SVP, VP) in strategic discussions
  • Demonstrated ability to lead large, cross‑functional teams through influence
  • Comfortable operating in ambiguous, fast‑moving environments
  • Strong written and verbal communication skills
  • Hands‑on experience with proposals and executive‑level client presentations
  • Willingness to take ownership, learn from mistakes, and contribute beyond defined responsibilities
Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current base range is: UP to $200K.

Benefits

As a full‑time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Equal Opportunities

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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