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Pharmacist Data Scientist Jobs in Riverside, CA (NOW HIRING)

Scientist II

Orange, CA ยท On-site

$46 - $50/hr

This fully onsite role will support the development of sterile liquid pharmaceutical products through hands-on formulation, manufacturing process development, analytical testing, and scientific data ...

Associate Scientist II

Orange, CA ยท On-site

$36 - $40/hr

Don't pass on the amazing chance to join a market leading pharmaceutical company!!! The ... Under the supervision of a mentor, generate and analyze data in alignment with project goals and ...

Pharmaceutical QA Director

Tustin, CA ยท On-site

$180 - $260/hr

ELIQUENT Life Sciences is a leading global consulting group delivering regulatory affairs ... Familiarity with electronic quality management systems (eQMS) and data integrity principles.

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Pharmacist Data Scientist information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do pharmacist data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for pharmacist data scientist in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What is a pharmacist data scientist?

A Pharmacist Data Scientist is a professional who combines expertise in pharmacy with skills in data science to analyze and interpret complex healthcare data. They use their knowledge of medications, patient outcomes, and clinical processes to develop data-driven solutions that improve healthcare delivery, patient safety, and operational efficiency. These professionals may work with large datasets from electronic health records, pharmacy claims, or clinical trials to inform decision-making, optimize medication use, and support research initiatives. By leveraging statistical analysis, machine learning, and data visualization, Pharmacist Data Scientists help bridge the gap between pharmacy practice and data-driven healthcare innovation.

How do pharmacist data scientists typically collaborate with clinical and IT teams to improve healthcare outcomes?

Pharmacist Data Scientists work closely with both clinical and IT teams to bridge the gap between patient care and data-driven decision-making. They often translate clinical needs into data queries, develop analytics models, and ensure that data insights are actionable and relevant for healthcare providers. Regular collaboration involves multidisciplinary meetings, sharing findings, and integrating feedback from pharmacists, physicians, and IT professionals to optimize medication management, safety protocols, and patient outcomes. This collaborative environment fosters continuous learning and innovation, making communication and teamwork essential skills for success in the role.

What are the key skills and qualifications needed to thrive as a pharmacist data scientist, and why are they important?

To thrive as a Pharmacist Data Scientist, you need a strong background in pharmacy, clinical knowledge, data analysis, and typically a degree in pharmacy along with training or experience in data science. Familiarity with programming languages (such as Python or R), data visualization tools, and healthcare data systems is essential, and certifications like Certified Analytics Professional (CAP) can be beneficial. Analytical thinking, effective communication, and attention to detail are crucial soft skills for interpreting complex data and translating findings for healthcare teams. These skills are vital for leveraging data to improve medication safety, optimize patient outcomes, and drive evidence-based decisions in healthcare settings.

What is the difference between Pharmacist Data Scientist vs Pharmacist?

AspectPharmacist Data ScientistPharmacist
CredentialsPharmacy degree, data analysis skills, possibly data science certificationsPharmacy degree, state licensure
Work EnvironmentHealthcare settings, data analysis teams, research institutionsCommunity pharmacies, hospitals, clinics
Industry UsageHealthcare, pharmaceutical companies, health techHealthcare, retail pharmacy

Pharmacist Data Scientists combine pharmacy expertise with data analysis skills to interpret health data, often working in research or tech environments. Pharmacists focus on patient care, medication management, and dispensing in healthcare settings. While both roles require a pharmacy degree, Pharmacist Data Scientists also need data science skills, making their work more analytical and tech-oriented compared to traditional pharmacists.

Do pharmacy companies hire pharmacist data scientists?

Pharmacy companies are increasingly hiring pharmacist data scientists to analyze healthcare data, improve drug development, and optimize patient outcomes. These roles often require expertise in data analysis, machine learning, and familiarity with healthcare regulations. Opportunities can be found in pharmaceutical firms, healthcare organizations, and biotech companies seeking to leverage data-driven insights.

What are popular job titles related to Pharmacist Data Scientist jobs in Riverside, CA?

For Pharmacist Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Pharmacist Data Scientist jobs in Riverside, CA look for?

The top searched job categories for Pharmacist Data Scientist jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Pharmacist Data Scientist jobs?

Cities near Riverside, CA with the most Pharmacist Data Scientist job openings:

Sr Director, Enterprise Data & Analytics

Tarsus Pharmaceuticals

Irvine, CA โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago


Job description

About the Role

We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions.

The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise.

Let's talk about some of the key responsibilities of the role:

  • Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company's commercial and corporate priorities ensuring data capabilities as a competitive differentiator.
  • Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations - translating complex data opportunities into clear business value.
  • Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption
  • Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes.
  • Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization's advancing analytics and AI workloads.
  • Ensure robust data governance, security, privacy, retention and compliance standards - working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations.
  • Direct the strategy and governance for onboarding complex life sciences data ecosystems-including commercial, claims, provider (HCP), and third-party logistics (3PL) streams-into a unified data landscape.
  • Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability.
  • Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems.
  • Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence-ensuring delivery of high-impact executive insights and robust self-service reporting frameworks.
  • Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards.
  • Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners.
  • Lead and manage IT budgets for all enterprise data and analytics spend.
  • Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities.
  • Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence.

Factors for Success:

  • Bachelor's in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus.
  • 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences.
  • Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners.
  • Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11).
  • Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire.
  • Experience integrating life sciences CRM and commercial applications - such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud - with enterprise data platforms.
  • Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms.
  • Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences.
  • Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants.
  • Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project.
  • A good team player with experience in managing and developing diverse, distributed teams of data professionals.
  • Tarsus Leadership Competencies:
  • Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders' decision-making capability, and creating systems that support performance and growth.
  • Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure.
  • Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders.
  • Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value.
  • Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience.

A Few Other Details Worth Mentioning:

  • The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered.
  • We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact!
  • This position reports directly to VP, Digital & IT
  • Some travel may be required - up to 10%

At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot.

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