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Vice President Biotech Data Analyst Jobs (NOW HIRING)

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

Premier Health

VP-DATA/ANALYTICS & AI

Dayton, OH · On-site

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven ...

Legend Biotech USA, Inc.

Lead company sponsored non-registration trials, lead secondary analyses of primary data (in ... Legend Biotech Privacy Notice. Salary: . Date posted: 05/21/2026

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ID: 523775 Oldcastle, a CRH company, is reinventing what's possible in building solutions. We are the ...

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data platform, and analytical capabilities. This role is responsible for end-to-end data ...

Legend Biotech US

VP, Medical Affairs

Bridgewater, NJ · On-site +1

Legend Biotech is seeking a VP of Medical Affairs as part of the Medical Affairs team based in ... Lead company sponsored non-registration trials, lead secondary analyses of primary data (in ...

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Vice President Biotech Data Analyst information

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$34K

$82.6K

$136K

How much do vice president biotech data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for vice president biotech data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Vice President Biotech Data Analyst typically collaborate with cross-functional teams in a biotech organization?

A Vice President Biotech Data Analyst frequently works alongside scientists, regulatory affairs, clinical operations, and IT professionals to translate complex biological data into actionable business insights. This role often leads data strategy discussions, ensuring that data-driven decisions align with organizational goals and compliance requirements. Regular meetings and project reviews are common, as are collaborative efforts to design and implement data infrastructure that supports both research and commercial objectives. Effective communication and leadership are essential, as the VP acts as a bridge between technical data teams and executive leadership.

What are the key skills and qualifications needed to thrive as a Vice President Biotech Data Analyst, and why are they important?

To thrive as a Vice President Biotech Data Analyst, you need advanced analytical skills, deep knowledge of biotechnology, and a strong background in data science, often supported by an advanced degree in life sciences, statistics, or a related field. Expertise with statistical analysis software (such as R, Python, or SAS), data visualization tools, and familiarity with industry regulations like FDA or GxP is essential. Exceptional leadership, strategic thinking, and communication skills set top performers apart by enabling them to guide teams and translate complex data into actionable insights for stakeholders. These capabilities are crucial for driving data-driven decisions, ensuring regulatory compliance, and maintaining a competitive edge in the biotech industry.

What does a Vice President Biotech Data Analyst do?

A Vice President Biotech Data Analyst leads data strategy and analysis within a biotechnology organization. They oversee teams that gather, process, and interpret complex biological data to support research and business decisions. This role combines deep expertise in data analytics with an understanding of biotech operations, ensuring that data-driven insights advance scientific goals and organizational growth. Responsibilities may also include collaborating with cross-functional teams, setting data governance policies, and presenting findings to executive leadership.
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What are the most commonly searched types of Biotech Data Analyst jobs? The most popular types of Biotech Data Analyst jobs are:
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Vice President Biotech Data Analyst jobs near you

VP-DATA/ANALYTICS & AI

Premier Health

Dayton, OH

Other

Posted 4 days ago

Job description

The VP of Data, Analytics and AI is an executive leadership role responsible for leveraging data, analytics, and artificial intelligence to drive business and clinical value, foster a data-driven culture, and ensure effective governance and use of Premier's data assets and ecosystem. Reporting to the Chief Digital Information Officer (CDIO), the VP of Data, Analytics and AI leads the execution of Premier's enterprise data, analytics, and AI strategy and operating model, builds executive and Board-level trust in data as a strategic asset; operationalizes enterprise data governance in partnership with security, privacy, risk, and compliance leaders; and develops the talent and culture required to mature Premier's data and analytics capability.  This role will partner with senior leaders across Premier Health to understand their data needs and deliver tools to enable them to achieve their business, clinical and operational initiatives.

As a member of the DHT senior leadership team, the VP of Data, Analytics and AI leads day-to-day strategy execution, operating model design, and delivery for the data, analytics, and AI portfolio.  This role will work in close coordination with the CDIO's technology infrastructure, Epic platform governance, and cybersecurity functions to ensure a single, unified digital agenda to support the strategic initiatives of Premier Health.  The VP of Data, Analytics and AI also plays a leading role in building data governance and analytics infrastructure supporting Premier's Wright State University academic partnership and Academic Medical Center designation, consistent with priorities set by the organization.

Education: Bachelor's Degree in Business Administration, Computer Science, Data Science, Information Systems, Health Informatics, or a related field. Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred.

Licensure/Certification/Registration: None required; Certified Analytics Professional (CAP) or comparable data/AI governance certification preferred.

Experience: Minimum 10 to 15 years of progressive business experience, recently at or near the executive level such as Senior data, analytics, or business intelligence executive (e.g., VP/SVP Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership experience required. Must have experience with enterprise data & analytics strategy, data governance, AI enablement, and cross-functional program leadership. Preferred experience: Healthcare or health system experience; academic medical center or university-affiliated data governance experience; strategy or management consulting background.
Other experience requirements: 5 or more years of progressive leadership managing cross-functional, multidisciplinary data and analytics teams across a complex organization.

Knowledge/Skills:
      Enterprise data, analytics, and AI strategy development and execution, including policy development
      Data and analytics governance (master data management, data quality, data stewardship) and connected governance with privacy, security, and compliance functions
      Broad understanding of information architectures (data fabric, data mesh, data warehouse, data lake, data hub) and analytics approaches (descriptive, diagnostic, predictive, prescriptive)
      AI fundamentals, including AI-ready data practices, responsible/ethical AI use, and awareness of applicable healthcare regulations (e.g., HIPAA, information blocking rules, emerging state and federal AI regulation)
      Business and financial acumen; ability to translate data, analytics, and AI concepts into business and clinical outcomes and ROI
      Exceptional executive communication, storytelling, and stakeholder influence across clinical, operational, financial, and Board audiences
      Demonstrated leadership building and managing complex, multidisciplinary teams and driving enterprise-wide culture change
      Experience operating within a CIO/CDIO-led digital governance structure, and partnering effectively with CISO, Compliance, and Legal functions on data trust, security, and governance
      Statistical literacy (e.g., understanding the difference between correlation and causation) sufficient to guide analytically rigorous decision-making

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