1

Pharma Ai Jobs in Riverside, CA (NOW HIRING)

... and pharma to tackle the world's biggest health challenges. Imagine being part of a team that ... Data & AI Steering Committee, Model Risk & Compliance Board; assign data product ownership. * Own ...

... and pharma to tackle the world's biggest health challenges. Imagine being part of a team that ... Stand up a Data, AI & Analytics Center of Excellence with domainaligned product squads (M&Q, R&D ...

Director Data AI & Analytics

Irvine, CA · On-site

$154.57 - $216.10/hr

... and pharma to tackle the world's biggest health challenges. Imagine being part of a team that ... Data & AI Steering Committee, Model Risk & Compliance Board; assign data product ownership. * Own ...

... and pharma to tackle the world's biggest health challenges. Imagine being part of a team that ... Data & AI Steering Committee, Model Risk & Compliance Board; assign data product ownership. * Own ...

... and pharma to tackle the world's biggest health challenges. Imagine being part of a team that ... Stand up a Data, AI & Analytics Center of Excellence with domainaligned product squads (M&Q, R&D ...

At CompassX, we're delivering AI-enabled solutions for some of the most complex enterprise clients in financial services, pharma, and beyond. We need someone who has moved past the hype and is ...

At CompassX, we're delivering AI-enabled solutions for some of the most complex enterprise clients in financial services, pharma, and beyond. We need someone who has moved past the hype and is ...

Territory Business Manager

Anaheim, CA · On-site

$140 - $150/hr

Strong technical & analytical skills including proficiency with CRM, AI tools and Microsoft Office ... pharma companies combined. Join our game-changing, global company dedicated to creating better ...

Strong technical & analytical skills including proficiency with CRM, AI tools and Microsoft Office ... pharma companies combined. Join our game-changing, global company dedicated to creating better ...

Territory Business Manager

Anaheim, CA · On-site

$140 - $150/hr

Strong technical & analytical skills including proficiency with CRM, AI tools and Microsoft Office ... pharma companies combined. Join our game-changing, global company dedicated to creating better ...

next page

Showing results 1-20

Pharma Ai information

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.

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 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 job categories do people searching Pharma Ai jobs in Riverside, CA look for?

The top searched job categories for Pharma Ai jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Pharma Ai jobs?

Cities near Riverside, CA with the most Pharma Ai job openings:

Director Data AI & Analytics

Fujifilm

Irvine, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Fujifilm rating

8.4

Company rating: 8.4 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

49th of 540 rated manufacturers


Job description

Position Overview
Position Description
We are hiring a Director Data, AI and Analytics. The Director Data, AI and Analytics will own the strategy, platforms, operating model, and outcomes for Data, AI, and Analytics across three FUJIFILM life-sciences businesses. In highly regulated GxP environments, deliver a trusted data backbone, governed self-service analytics, advanced analytics, bioinformatics pipelines, and agentic AI-meeting 21 CFR Part 11/EU Annex 11, ALCOA+, and CSV/CSA expectations. Lead a cross-site team (CoE + domain squads), partner with QA/CSV, Security, Lab IT, M&Q Systems, and ERP, and convert data and AI into measurable business value.
This position is hybrid in Irvine, CA.
Company Overview
At FUJIFILM Biosciences, we turn curiosity into breakthroughs that advance the field of life sciences. By offering a comprehensive portfolio of products and services in cell culture media, discovery research reagents, recombinant growth factors and proteins, fine chemicals, and critical assay materials, we partner with the brightest minds in biotech and pharma to tackle the world's biggest health challenges.
Imagine being part of a team that enables life-changing discoveries like new vaccines, therapies, and advancements in regenerative medicine. Our culture fosters curiosity, collaboration, and innovation, and we pride ourselves on delivering unparalleled quality and service to our partners. If you're ready to make an impact, your future belongs with us at FUJIFILM Biosciences.
Our headquarters in Santa Ana, California, is surrounded by world-class schools, lush parks, and scenic beaches like Laguna and Huntington, making it an ideal place to live, work, and explore. With additional campuses across the US, Europe, China, and Japan, we offer opportunities to make a difference worldwide.
Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of "giving our world more smiles." Visit: ;br>
Job Description
Responsibilities:
  • Define the multi-year Data/AI roadmap for locations in California and Wisconsin; align to business priorities and compliance needs.
  • Stand up a Data, AI & Analytics Center of Excellence with domain-aligned product squads (M&Q, R&D/Bioinformatics, Finance/SC).
  • Run governance: Data & AI Steering Committee, Model Risk & Compliance Board; assign data product ownership.
  • Own the enterprise data platform (lakehouse/warehouse), ingestion (ELT/CDC), orchestration, and semantic/metric layers.
  • Implement catalog/lineage, data quality rules, access controls; drive data product SLAs and ownership.
  • Integrate core systems: MES (e.g., PAS-X), QMS (ETQ/Veeva), LIMS/ELN (LabWare/Benchling), ERP (e.g., SAP/Oracle), OSI PI/AVEVA, and instrument data hubs.
  • Deliver executive and operational analytics (FPY/yield, OEE, deviation/CAPA TAT, batch release, QC throughput, inventory turns, cost-to-serve).
  • Enable governed self-service (certified datasets/semantic models, KPI library, training, community of practice).
  • Lead data science programs for manufacturing quality, supply chain, and R&D.
  • Own bioinformatics analytics and pipelines (e.g., NGS/omics workflows, imaging pipelines, assay analytics) and integration with lab systems and data platforms.
  • Build responsible and agentic AI capabilities (assistants/co-pilots, retrieval/grounding, task automation) with MLOps (experiment tracking, model registry, CI/CD, monitoring, retraining). Separate GxP vs non-GxP AI; ensure intended use, explainability, validation/CSA, and periodic review for regulated models.
  • Embed compliance by design: 21 CFR Part 11, Annex 11, ALCOA+, data retention/archival, audit trails.
  • Partner with QA/CSV on risk-based validation, test evidence, and inspections; maintain validated state for applicable analytics/data flows.
  • Coordinate with Corporate Security on classification, RBAC/least privilege, encryption, logging/monitoring, and incident response for data/AI workloads.
  • Govern AI safety: model cards, red-team testing, bias/fairness checks, PHI/PII safeguards, vendor due diligence.
  • Prioritize a portfolio of use cases with quantified value; pilot, scale winners, retire low-value work.
  • Publish a quarterly "Data & AI Outcomes" report (business impact, adoption, cost/performance, compliance posture).
  • Select and govern platform vendors (cloud, data/ML, BI, bioinformatics tools) and SIs; negotiate commercials, SLAs, exit terms.
  • Drive FinOps: usage visibility, rightsizing, tiered storage, and cost/performance optimization.
  • Hire and develop data/platform/analytics engineers, data scientists/ML engineers, bioinformatics engineers, and product managers.
  • Build cross-site career paths and a culture of reliability, compliance, and measurable impact.

Required Skills/Education:
  • BS/BA (or equivalent) in Business, Computer Science, Data Science or Bioinformatics or similar.
  • 10+ years leading Data/Analytics functions with 5+ years in regulated life sciences (biotech, pharma, CDMO); multi-site/global experience.
  • Demonstrated people management experience, including building, mentoring, and leading high-performing teams.
  • Ownership of enterprise data platforms (lakehouse/warehouse), analytics programs, and MLOps in production.
  • Strong GxP/CSV/CSA knowledge with practical application in analytics/AI and data flows; 21 CFR Part 11/Annex 11/ALCOA+.
  • Hands-on familiarity with bioinformatics analytics/pipelines (e.g., NGS/omics, imaging, workflow orchestration) and integration with LIMS/ELN and lab systems.
  • Proven record converting Data/AI programs into business outcomes (e.g., cycle time, yield/FPY, cost, quality).
  • Cross-functional leadership with QA/CSV, Manufacturing/Quality, R&D, Security, ERP/MES/QMS owners, and vendors.
  • Excellent executive communication and pragmatic technical guidance.
  • Platforms: Databricks/Snowflake/BigQuery; Azure/AWS data services; Spark; DBT; Airflow/Prefect; Kafka/EventHub.
  • BI: Power BI/Tableau; semantic/metrics layers; KPI governance.
  • MLOps/AI: MLflow/W&B, SageMaker/Azure ML; vector DBs/RAG; LLM orchestration; agent frameworks; feature stores.
  • Bioinformatics: Nextflow/Snakemake, CWL/WDL; common tools (e.g., GATK) or imaging/omics pipelines; HPC/containers.
  • Governance: Collibra/Alation/Atlan; model risk management/AI governance.
  • Certifications: GAMP 5/CSA, ITIL, cloud (Azure/AWS), or data governance certifications.
  • Ability to speak, read, and write in English.
  • Good verbal and written communication skills; effective presentation skills.

Salary and Benefits:
  • For California, the base salary range for this position is $154,565.00 - $216,100. Compensation for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience, location, etc.).
  • Medical, Dental, Vision
  • Life Insurance
  • 401k
  • Paid Time Off

*#LI-hybrid
EEO Information
Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc.
ADA Information
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department ().

What Fujifilm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Fujifilm logo

About Fujifilm

Sourced by ZipRecruiter

With each Industry we enter, We’ve learned to Leverage and Adapt our knowledge, Expertise and rRsources to make the World a better place. When it comes to Innovating for a Healthier World and a more sustainable society, we’ll NEVER STOP. Fujifilm will contribute to the social challenges by creating new value in a wide range of business domains through innovation in Products, Services, and Technological Development. We launched our Healthcare Business with X-ray film in 1936. And now, We are developing our business in areas of prevention, diagnosis, and treatment as a Comprehensive Healthcare Company. We will never stop Innovating for a Healthier World.

Industry

Chemical manufacturing

Company size

10,000+ Employees

Headquarters location

Minato-ku, Tokyo, JP

Social media