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Director Data Analytics Biotech Jobs in Minnesota

Bachelor's degree in Information Systems, Business Analytics, Data Science, or a related field ... by the Director of Talent Acquisition, SVP, to fill a specific position. Our culture is firmly ...

Ability to influence without direct authority * Strong communication and stakeholder management ... Modern data and analytics platforms, including cloud-based and traditional data warehouse ...

Ability to influence without direct authority * Strong communication and stakeholder management ... Modern data and analytics platforms, including cloud-based and traditional data warehouse ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice: Stand ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice: Stand ...

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Director Data Analytics Biotech information

What are the key skills and qualifications needed to thrive as a director of data analytics in biotech, and why are they important?

To thrive as a Director of Data Analytics in Biotech, you need advanced expertise in data science, statistical analysis, and a strong foundation in life sciences, typically supported by a relevant advanced degree (e.g., PhD, MS). Familiarity with tools like Python, R, SQL, cloud computing platforms, and experience with data visualization and bioinformatics systems are essential, along with relevant certifications in data analytics or project management. Strong leadership, strategic thinking, and effective communication skills help you translate complex data into actionable insights and foster cross-functional collaboration. These competencies are critical for driving data-driven decision-making and innovation in a highly regulated, research-focused biotech environment.

What are the typical challenges faced by a director of data analytics in the biotech industry, and how is success measured in this role?

A Director of Data Analytics in biotech often navigates challenges such as integrating complex datasets from various sources, ensuring data integrity, and translating analytics into actionable insights for research and business teams. Success in this role is typically measured by the ability to drive data-informed decision-making, improve efficiency in research pipelines, and support regulatory compliance through robust data practices. Additionally, effective leadership of cross-functional teams and fostering a culture of data literacy across the organization are key indicators of success.

What is the difference between Director Data Analytics Biotech vs Data Scientist Biotech?

AspectDirector Data Analytics BiotechData Scientist Biotech
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceTypically Master's or PhD in Data Science, Statistics, or related field
Work EnvironmentStrategic leadership, team management, cross-department collaborationHands-on data analysis, model development, coding, and experimentation
Employer & Industry UsageBiotech companies, research institutions, pharma firmsBiotech firms, research labs, healthcare startups

The main difference is that the Director Data Analytics Biotech focuses on strategic oversight, team leadership, and aligning analytics with business goals, while the Data Scientist Biotech is more involved in technical data analysis, modeling, and coding tasks. Both roles require strong analytical skills and industry knowledge, but the director position emphasizes management and strategic planning.

What does a director of data analytics do in the biotech industry?

A Director of Data Analytics in biotech leads teams that analyze large and complex biological and clinical datasets to support research, product development, and business decisions. They design data strategies, oversee data management, and implement analytics tools to extract meaningful insights from scientific data. Their work often supports areas like drug discovery, clinical trials, and market analysis, ensuring data-driven decisions throughout the organization. This role requires a strong background in both biotech and advanced analytics, as well as leadership skills to manage cross-functional teams.
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Infographic showing various Director Data Analytics Biotech job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Head of Enterprise Data & Information Architecture (Minnetonka)

Pivot Bio

Minnetonka, MN โ€ข On-site

Full-time

Medical

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Pivot Bio is searching for a Director, Data & Information Architecture to lead the information architecture strategy. This role involves designing enterprise data models to enable robust analytics and product performance analysis.

The ideal candidate will have over 10 years of experience in data architecture along with proficiency in SQL and modern data platforms like Databricks. Located in Minnetonka, Minnesota, the company provides a competitive compensation package with benefits such as stock options and health insurance.

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