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Director Data Analytics Biotech Jobs in Hawaii (NOW HIRING)

We are seeking a talented Data Scientist to join our team and play a pivotal role in analyzing ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Data Scientist

Honolulu, HI · On-site

$110 - $150/hr

We are seeking a talented Data Scientist to join our team and play a pivotal role in analyzing ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cloud Big Data Software Engineer

Honolulu, HI · On-site

$55 - $73/hr

Familiarity with real-time analytics platforms * Knowledge of Infrastructure as Code (IaC) tools ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Data Modeler

Honolulu, HI · On-site

$90 - $120/hr

You will work closely with data engineers, analysts, and other stakeholders to ensure data is ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Data Modeler

Honolulu, HI · On-site

$54 - $70.25/hr

You will work closely with data engineers, analysts, and other stakeholders to ensure data is ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Director of Operations

Aiea, HI · On-site

$144K - $260K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... The Director of Operations plans, directs, and coordinates the operations of public and private ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... The Director of Operations plans, directs, and coordinates the operations of public and private ...

Showing results 21-40

Director Data Analytics Biotech information

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.

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 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 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 are popular job titles related to Director Data Analytics Biotech jobs in Hawaii?

For Director Data Analytics Biotech jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Director Data Analytics Biotech jobs in Hawaii look for?

The top searched job categories for Director Data Analytics Biotech jobs in Hawaii are:

What cities in Hawaii are hiring for Director Data Analytics Biotech jobs?

Cities in Hawaii with the most Director Data Analytics Biotech job openings:

Senior Manager, HR Analytics & Artificial Intelligence

HMSA

Honolulu, HI • On-site

Other

Posted 9 days ago


Job description

  1. Enterprise HR Analytics & AI Leadership:
    • Serve as the single accountable leader for all data analytics and AI initiatives across every HR function -- including talent acquisition, performance management, compensation, learning & development, DEI&B, workforce planning, and employee experience. Define and drive the enterprise people analytics roadmap, evolving capabilities from descriptive reporting to diagnostic, predictive, and prescriptive analytics. Translate workforce data into executive-ready insights that inform HR strategy and organizational health decisions.
  2. AI & Advanced Analytics Development:
    • Lead the identification, evaluation, and responsible deployment of AI and machine learning models in HR -- including predictive attrition modeling, skills gap analysis, workforce planning forecasting, and generative AI tools. Ensure model transparency, fairness, and compliance with HIPAA and applicable regulations.
  3. Unified HR Data Platform & Integrated Reporting:
    • Serve as the functional owner of the HR analytics data infrastructure (including the Enterprise Data Platform, HRIS integrations, and BI tools). Lead the consolidation of all disparate HR data sources -- spanning HRIS, ATS, LMS, payroll, performance, engagement, and workforce planning systems -- into a single, comprehensive reporting framework. Design and deliver a standardized suite of HR reports and dashboards for business consumption at the executive, manager, and operational levels, ensuring consistent definitions, trusted data, and self-service access across the organization. Establish and enforce data governance, quality standards, and access policies in partnership with IT and Data Governance.
  4. Workforce & Organizational Analytics:
    • Deliver insights on workforce planning, succession risk, skills inventory, employee lifetime value, and wellbeing analytics. Support value-based care program analytics, quality payment models, and sponsor/pharmacy reporting. Partner with Finance, Medical Management, and Clinical Operations on provider and population health workforce analyses.
  5. Stakeholder Partnership & Business Intelligence Delivery:
    • Act as the primary point of contact for HR analytics and AI across the organization. Partner with HR leadership, Finance, Operations, and business unit leaders to understand reporting needs and translate them into a comprehensive, standardized set of reports and insights for business consumption. Champion analytics literacy, embedding data-driven practices into strategic planning and operational execution. Deliver compelling data presentations and narratives to audiences ranging from frontline managers to the executive team.
  6. Team Development & Analytics Capability Building:
    • Recruit, develop, and retain a high-performing HR analytics and AI team. Foster a culture of continuous learning, analytical thinking, and AI fluency. Build skill progressions across the team covering SQL, Python/R, ML fundamentals, prompt engineering, and business communication.
  7. Other Duties/Functions:
    • Performs all other miscellaneous responsibilities and duties as assigned or directed.
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