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Freelance Data Science Startup Jobs in Arizona (NOW HIRING)

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Tenex

Forward Deployed Data Architect

Scottsdale, AZ · On-site

$180 - $260/hr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or ...

Arevon

Analyst, Software Development

Scottsdale, AZ · On-site

Partner with data science to put price and production forecasts into production. * Own what you ... You've created something meaningful, whether through a side project, research initiative, startup ...

Arevon

Analyst, Software Development

Scottsdale, AZ · On-site

Partner with data science to put price and production forecasts into production. * Own what you ... You've created something meaningful, whether through a side project, research initiative, startup ...

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Freelance Data Science Startup information

What is the difference between Freelance Data Science Startup vs Data Analyst?

AspectFreelance Data Science StartupData Analyst
CredentialsRelevant degrees, certifications in data science or analyticsDegree in statistics, data analysis, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteTypically in corporate or organizational settings, often full-time
Employer & IndustrySelf-employed or startup clients across various industriesEmployers in finance, marketing, healthcare, etc.
Search & Comparison IntentLooking for freelance opportunities or startup roles in data scienceSeeking data analysis roles within organizations

Freelance Data Science Startups focus on independent, project-based work involving advanced data modeling and machine learning, often serving multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles require analytical skills, freelance data science startups emphasize entrepreneurship and technical expertise, whereas data analysts focus on operational data insights within a company.

What is a freelance data science startup?

A Freelance Data Science Startup is a small business or entrepreneurial venture where individuals or small teams offer data science services independently, rather than working as full-time employees for a single company. These startups provide solutions such as data analysis, machine learning, predictive modeling, and data visualization to various clients on a project basis. Freelance data science startups often work with businesses that need expertise for specific projects or lack in-house data science resources. They may operate remotely and handle multiple clients simultaneously, allowing for flexibility and diverse experience. This model is popular among data scientists seeking autonomy and a variety of challenging projects.

What unique challenges do freelance data scientists face when working with startups, and how can they manage them?

Freelance data scientists working with startups often encounter challenges such as rapidly changing project scopes, limited historical data, and the need to wear multiple hats. Since startups typically operate in fast-paced environments, priorities can shift quickly, requiring adaptability and strong communication skills. To manage these challenges, it's important to set clear expectations upfront, maintain transparent communication with stakeholders, and design flexible data solutions that can evolve as the business grows. Building strong relationships with both technical and non-technical team members can also help ensure project alignment and successful outcomes.

What skills and qualifications are needed to thrive as a freelance data science startup founder?

To thrive as a Freelance Data Science Startup founder, you need strong expertise in data analysis, machine learning, programming (Python/R), and a solid educational background in statistics or computer science. Familiarity with tools like Jupyter, TensorFlow, cloud platforms (AWS, GCP), and data visualization software, as well as relevant certifications, is highly beneficial. Exceptional communication, client management, and entrepreneurial skills help differentiate successful founders in this space. These skills are crucial for delivering high-quality solutions, winning clients, and sustaining a competitive edge in the evolving data science market.
What are the most commonly searched types of Data Science Startup jobs in Arizona? The most popular types of Data Science Startup jobs in Arizona are:
What are popular job titles related to Freelance Data Science Startup jobs in Arizona? For Freelance Data Science Startup jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Data Science Startup jobs in Arizona look for? The top searched job categories for Freelance Data Science Startup jobs in Arizona are:
What cities in Arizona are hiring for Freelance Data Science Startup jobs? Cities in Arizona with the most Freelance Data Science Startup job openings:
Freelance Data Science Startup jobs near you

Clinical Research Program Manager

St. Joseph Hospital & Medical Center

Phoenix, AZ • On-site

$39.18 - $58.28/hr

Other

Re-posted 17 days ago

Job description

Where You'll Work
Hello Humankindness: Join a Legacy of Healing at Saint Joseph's Hospital and Medical Center (SJHMC)
Ready to make a real difference? Join SJHMC in Phoenix AZ., a 571-bed nonprofit founded by the Sisters of Mercy over 125 years ago. We're more than a hospital; we're a global destination for life-changing care, embracing patients with humankindness.
Here, your calling will flourish. We're not just a workplace; we're a community dedicated to a mission of service.
Leaders in Specialized Care:
  • Barrow Neurological Institute (BNI): A world-renowned center for groundbreaking neurological research and innovative treatments.
  • Norton Thoracic Institute (NTI): A national leader in advanced thoracic care with pioneering surgical techniques.
  • Level I Trauma Center: One of Arizona's busiest ERs, providing immediate, comprehensive care for critically injured patients 24/7.

Why SJHMC?
  • Culture of Excellence & Well-being: We care for our people, fostering professional and personal growth.
  • Community & Collaboration: Be part of a network committed to global health and well-being.
  • Join a Legacy, Shape a Future: Over 20% of our patients travel internationally for our specialized care.

This is an invitation to join a family of dedicated professionals at the forefront of medical innovation, united by the power of humankindness.
Job Summary and Responsibilities
As our Clinical Research Program Manager, you will be instrumental in advancing medical knowledge by expertly managing and executing clinical trials. You will ensure the highest standards of data integrity, patient safety, and regulatory compliance throughout the research process.
Every day you will manage trial activities, including participant recruitment, data collection, and documentation, serving as a key liaison for all stakeholders. You will ensure strict adherence to protocols and regulatory requirements from study initiation to completion.
To be successful in this role, you will bring relevant clinical research experience and a strong understanding of regulatory guidelines (e.g., GCP, FDA). Your exceptional organizational skills, attention to detail, and ability to communicate effectively will be crucial in this dynamic field.
The Barrow Neuro Analytics Center (BNAC) is an 18,000-square-foot data science hub that leverages large-scale, data-driven research approaches to better understand and ultimately improve outcomes in neurological diseases. The Barrow Neuroimaging Innovation Center (BNIC) is a 6,000+ square-foot imaging research facility with a research-dedicated 3T MRI and advanced acquisition capabilities, supporting cutting-edge structural and functional neuroimaging for internal and external investigators. Within BNAC, the Multimodal Imaging Genomics (MIG) Lab combines neuroimaging, genomics, and machine learning to study brain aging and secondary injury across cerebrovascular, neurodegenerative, and traumatic brain diseases. The Research Program Manager will provide high-level program management across the MIG Lab and BNIC, coordinating complex, data-intensive projects, aligning timelines and deliverables, and ensuring organized, compliant operations that enable PIs and teams to execute impactful neuroimaging and omics research at scale.
The Research Program Manager - Neuroimaging/Data Science is responsible for the administration, oversight, and coordination of complex research portfolios in neuroimaging and bioinformatics/omics across multiple principal investigators (PIs). The role ensures rigorous planning, execution, and tracking of grants, studies, and datadriven projects, with a strong emphasis on detailed documentation, organized workflows, and ontime delivery of milestones. The Program Manager partners closely with PIs, research administration, and crossfunctional teams (imaging analysts, data scientists, biostatisticians, coordinators) to support study startup, regulatory approvals, data management, and reporting activities. The position requires exceptional attention to detail, the ability to manage numerous parallel tasks and deadlines, and the capacity to build and maintain structured systems that keep PI research programs running efficiently and compliantly.
  • Facilitates research activities in close partnership with PIs by coordinating grant submissions, renewals, progress reports, and portfolio-level planning for neuroimaging and bioinformatics/omics projects, ensuring all components are complete, accurate, and submitted on time.
  • Develops, maintains, and regularly updates portfolio-level workplans (e.g., Gantt charts, task trackers, dashboards) for each PI, tracking key deliverables such as data freezes, analyses, manuscripts, regulatory submissions, and sponsor deadlines.
  • Coordinates the full lifecycle of studies within PI portfolios, from initial concept and feasibility review through IRB/other regulatory submissions, study activation, ongoing amendments, and final study closure, ensuring meticulous documentation and compliance with institutional and federal requirements.
  • Serves as the central operational point of contact for assigned PI portfolios, organizing and leading regular checkins, circulating agendas and minutes, documenting decisions and action items, and following through to confirm timely completion of tasks by all team members.
  • Implements and maintains standardized organizational systems (e.g., shared drive structures, naming conventions, templates, SOPs, project management tools) tailored to neuroimaging and omics workflows, promoting consistency, version control, and reproducibility across projects.
  • Coordinates cross-functional project teams, including imaging core staff, data engineers, statisticians, coordinators, and external collaborators, to clarify roles, define timelines, monitor progress, and promptly address operational barriers.
  • Supports financial and administrative management of PI portfolios by collaborating with research administration on budget development, monitoring expenditures, managing invoicing and effort reporting, and flagging variances or risks early using structured tracking tools.
  • Prepares and quality checks high-detail materials for internal and external stakeholders, including status reports, slide decks, sponsor updates, and metrics summaries (e.g., enrollment, data completeness, analysis progress), ensuring all information is accurate, current, and clearly organized.

Job Requirements
Required
  • Bachelor's Degree
  • Minimum of five (5) years experience in neuroimaging, bioinformatics, and/or multiomics (e.g., MRI/fMRI/diffusion imaging, genomics, proteomics, transcriptomics, large-scale data science)
  • Three (3) years management experience
  • Clinical Research Associate, within 12 - months

Preferred
  • Masters Degree in healthcare related or (neuroscience, bioinformatics, biostatistics, data science, public health, health administration, or similar)

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