1

Director Data Analytics Biotech Jobs in Arizona (NOW HIRING)

Senior Data Governance Analyst

Phoenix, AZ ยท Remote

$6.9K - $8.0K/mo

Director, Data Governance Base Location: AZ or CO Work Status: Virtual Office Minimum Starting ... Experience with data analytics, data management associated with systems evaluation and human factor ...

... direct hire position. This position reports to the Senior Manager of Data Analytics and participates in a team environment. The Senior Data Analyst provides support of all organizational data ...

$100 - $150/hr

As Director of Data Governance & Data Quality at Vertex Education, you will lead the development ... analytics operations, data product operations or related data management roles. * Proven success ...

New

Data Quality Analyst

Scottsdale, AZ ยท On-site

$100K - $110K/yr

Reporting to the Sr. Director of Data & Analytics, the Data Quality Analyst will play a pivotal role in securing MTY's expansive digital ecosystem and emerging technology initiatives. This position ...

AI & GenAI Data Scientist-Director

Phoenix, AZ ยท On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

(USA) Senior, Data Analyst

New River, AZ ยท On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Ability to work cross-functionally and influence without direct authority At Walmart, we offer ...

(USA) Senior, Data Analyst

Goodyear, AZ ยท On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Ability to work cross-functionally and influence without direct authority At Walmart, we offer ...

(USA) Senior, Data Analyst

Avondale, AZ ยท On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Ability to work cross-functionally and influence without direct authority At Walmart, we offer ...

(USA) Senior, Data Analyst

Sun City, AZ ยท On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Ability to work cross-functionally and influence without direct authority At Walmart, we offer ...

(USA) Senior, Data Analyst

El Mirage, AZ ยท On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Ability to work cross-functionally and influence without direct authority At Walmart, we offer ...

Showing results 21-40

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.
What are popular job titles related to Director Data Analytics Biotech jobs in Arizona? For Director Data Analytics Biotech jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Director Data Analytics Biotech jobs in Arizona look for? The top searched job categories for Director Data Analytics Biotech jobs in Arizona are:
What cities in Arizona are hiring for Director Data Analytics Biotech jobs? Cities in Arizona with the most Director Data Analytics Biotech job openings:

Senior Data Governance Analyst

Contexture

Phoenix, AZ โ€ข Remote

$6.9K - $8.0K/mo

Full-time

Posted 9 days ago


Job description

Job Code: SRDGA

Reports To: Director, Data Governance

Base Location: AZ or CO

Work Status: Virtual Office

Minimum Starting Monthly Range: $6,943

Hiring Range (Monthly Pay): $6,943 - $8,083

Full-time / Part-time: Full-time

Exempt / Non-Exempt: Exempt

Risk Designation: Extremely High


Summary:

The Senior Data Governance Analyst has the responsibility for performing activities within the organization Data Governance program to ensure quality, integrity, and usability of our data. Activities include but are not limited to semantic mapping of clinical or administrative data, support efforts around data standards including the production of process and standards documentation, metric reporting, and issue identification through validation processes. Additionally, this position will assist Contexture stakeholders and staff in applying their deep clinical data and workflow knowledge to support the development of products and services that transform health care delivery.

This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.


Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential Duties and Responsibilities include the following:

  • Provide advanced analytical support for business operations utilizing HIE data such as clinical, provider, and member data.
  • Conduct independent analysis of highly complex data sets under moderate supervision and guidance.
  • Analyze clinical data and work with internal and external stakeholders to support data quality improvement activities.
  • Perform exploratory data analysis and data mining of HIE data and interpret findings in easily understandable formats for varying levels in the organization as well as external customers.
  • Lead the development of data, product and service documentation standards including development of guidelines and templates.
  • Define semantic mappings of clinical or administrative data to a standard reference terminology.
  • Provide thought leadership for the development, documentation, and execution of policies, procedures, andgovernance that drive the clinical data lifecycle needs of the organization.
  • Serve as a steward to Data Governance by participating in working groups and committee initiatives serving as a subject matter expert for domain knowledge of data standards and quality initiatives.
  • Identify information gaps discovered during the terminology mapping process; communicate gaps or problems with mapping processes and provide actionable solutions.
  • Applies knowledge of clinical data and end user workflow experience to influence HIE tools, products, and services.
  • Plan and execute product inspection and testing for quality assurance and conformance to specifications and deliverables.
  • Work with source systems and downstream data consumers to apply standard data quality techniques, remediate issues, and assist with implementation of processes to monitor data quality risks, including:
    • Assisting to analyze data quality results
    • Measuring and auditing large volumes of data for quality issues and gaps
    • Assist with the performance of root cause analysis of data anomalies
    • Triaging data quality issues
  • Evaluate and quantify business impact of data quality issues and making recommendations for data improvements including required process and system changes.
  • Prepare product and process data quality reports utilizing identified metrics.
  • Champions organizational behavior changes as it relates to the use of data; Realizing vision of data managed as an asset and supporting literacy education.
  • Leads organizational activities with vendor and client representatives concerning identified data quality issues, and the development and execution of effective corrective action plans.
  • Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.
  • Maintain knowledge of clinical disease states, hospital care processes, quality measure reporting, and Social Determinants of Health (SDOH) data types.
  • Participates as a subject matter expert to support education and train internal and external staff to understanding and applying Contexture data quality management program policies, procedures, and standards.
  • Performs other related duties as assigned.

Skills

  • Proven ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Proven ability to define, plan, organize, prioritize, and manage multiple complex projects efficiently and effectively.
  • Working knowledge of and experience with quality assurance and quality improvement methodologies, techniques, tools and in implementing data quality principles and processes.
  • Experience with applying process improvement strategies to clinical workflows that utilize information systems.
  • You have a clinical background (RN, NP, PA, etc.) and experience using an electronic health record system such as EPIC, Cerner, Meditech, NextGen, eClinicalWorks, and Allscripts.
  • Knowledge of state and federal quality payment and improvement programs (I.e., eCQM, HTP, QPP etc.) in the ambulatory and inpatient care settings.
  • Working knowledge of HL7 v2.x, HL7 v3.x, HL7 FHIR, C-CDA and XDS.b standards and protocols.
  • Working knowledge of and experience with data management, data warehousing, data modeling, data analysis, and statistics.
  • Working knowledge of MSSQL Server, PostgreSQL, and Python.
  • Familiarity with best practice standards and challenges associated with interoperability of data.
  • Working knowledge of standard codes set terminologies such as LOINC, CPT, ICD-10, SNOMED, RxNorm, CVX, etc.
  • You have experience with clinical terminology coding and mapping, and common tool(s)/resources.
  • Working knowledge of medical claims data formats to include UB92, CCLS, 835, 834, CMS 1500 etc.
  • Working knowledge of Microsoft office toolset (Word, Project, Excel, and PowerPoint required, Visio preferred).
  • Ability to work in a fast-paced environment, embrace change, adjust quickly to changing work demands and shifting priorities, and consistently meet targeted deadlines.
  • Highly organized: You are a stickler for detail, timeliness, meeting compliance requirements, and tracking information in a manner that is reliable, clear, and easily understood by others.
  • You are a self-motivated, resourceful, critical thinker who can identify areas of opportunity and deliver high-value contributions.
  • Interpersonal skills to train, mentor, and delegate tasks to other team members in a remote workplace setting.
  • You have a passion for utilizing technology to enhance the delivery of healthcare.
  • Excellent written and verbal skills.

Education/Experience

  • Minimum of 5+ years of relevant experience required.
  • Bachelor's Degree required in Nursing or related clinical field and/or 8+ years of commensurate experience in claims data analysis and/or medical claims coding.
  • Master's degree or other advanced degree in informatics preferred.
  • Formal certifications in Certifications such as CPHQ, NI-BC, CBCS, CCS, CMIS, or NCCT preferred.
  • Experience with data analytics, data management associated with systems evaluation and human factor workflow analysis.
  • Membership in informatics-related professional organizations (i.e., HIMSS, AMIA, ANIA, etc.) preferred.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.

The position may require occasional availability for after-hours work, outside of regularly scheduled hours.

The position may require the ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.

This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.

Physical Demands

The physical demands described here are representative of those necessary to perform the essential functions of the role:

  • Frequent communication and information exchange.
  • Regular movement within the office to access equipment and materials.
  • Ability to remain stationary for extended periods (approximately 50% of the time).
  • Continuous use of computers and office equipment (e.g., keyboard, monitor, printer).
  • Frequent handling of materials up to 10 lbs; occasional handling up to 30 lbs.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.

Benefits: Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.

The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation.