Data & AI Analyst
Alcanza Clinical Research
RemoteRemoteFull Time
Job Description
Description
Alcanza is a growing multi-site, multi-phase clinical research company with a network of locations in AL, AZ, FL, GA, IL, MA, MI, MO, NV, SC, TX, VA, and Puerto Rico. We have established a strong presence across Phase I-IV studies and several therapeutic areas including vaccine, neurology, dermatology, psychiatry, and general medicine. Join us as we continue to grow.
The Data & AI Analyst supports the design, testing, deployment, and continuous improvement of AI‑enabled solutions that enhance patient recruitment, clinical operations, quality, and business workflows across a multi‑site clinical research network. This role focuses on applied AI, especially LLM‑enabled workflows, automation, and decision support—ensuring solutions are reliable, explainable, compliant, and usable by support and site-based teams.
The AI Analyst partners with operations, quality/QA, recruitment, finance, and IT to identify AI opportunities, translate them into testable solutions, evaluate performance, and operationalize them safely in a regulated environment (HIPAA/GCP/21 CFR expectations.
Key Responsibilities
Essential Job Duties:
AI Discovery, Use Case Identification, Design & Build Support, Evaluation & Readiness
Continuously stay current with emerging data, AI, and analytics innovations, assessing their relevance and responsible application within a regulated clinical research environment.
AI Use Case Discovery & Requirements (Business-to-Technical): identify high‑value AI opportunities in workflows such as recruitment operations, compliance checks, audit readiness, and administrative processes.
Gather requirements from stakeholders and translate them into clear problem statements, success metrics, and acceptance criteria.
Produce lightweight artifacts (use case briefs, workflow maps, risk notes) to guide build/test cycles.
LLM Workflow Design (Human-in-the-Loop): Design and iterate LLM‑supported workflows for document understanding and knowledge retrieval (e.g., summarization, classification, extraction, Q&A), with strong attention to “human review” steps for clinical appropriateness.
Build prompt templates, structured output formats, and validation logic for consistent results.
Support AI use cases like LLM review of clinical notes/source documents for compliance and audit readiness (where approved), aligning with the organization’s stated opportunities.
Model & Output Evaluation (Quality, Reliability, Safety): Create evaluation plans and test sets (representative examples, edge cases, failure modes).
Measure performance using agreed metrics (accuracy, precision/recall where applicable, extraction fidelity, reviewer agreement).
Track and analyze errors; propose changes to prompts, data inputs, and workflow guardrails.
Maintain documentation of evaluation results to support internal QA expectations and inspection readiness principles (risk focus, documentation, traceability).
Assist in identifying “low risk / high volume” opportunities to reduce manual effort, consistent with the organization’s interest in automating tedious workflows.
Produce AI‑supported insights that help teams prioritize work, understand constraints, and improve action and decision-making across the study lifecycle and patient journey to deliver operational efficiency and quality (within policy and privacy rules).
Data Handling, Privacy, and Compliance-by-Design Follow data governance standards for handling sensitive data (PHI/PII).
Ensure AI workflows meet organizational expectations around HIPAA/GCP/21 CFR Part 11 awareness (working with IT/QA for controls).
AI-Enabled Product Development Support & Deployment, Process Automation, Training & Support
Participate in the AI-powered product development lifecycle and support automation for back‑office and operational processes (e.g., routing, triage, reconciliation support, drafting standardized responses, generating checklists).
Stakeholder Enablement & Adoption: Create training materials and user guidance for AI tools and support deployment of said solutions across the organization (what it does, what it doesn’t do, review steps, escalation paths)
Gather user feedback and usage patterns; drive iterative improvements.
Communicate outcomes clearly to non‑technical teams (what changed, why it matters, how to use it).
Documentation & Operational Excellence: document prompt versions, workflow logic, evaluation results, and release notes.
Support change management and “release discipline” to avoid disruption to site operations.
Additional Responsibilities
Perform other duties as assigned to support organizational goals.
Skills, Knowledge and Expertise
Minimum Qualifications: Bachelor’s degree or equivalent experience in analytics, computer science, informatics, engineering, or related field, and 2+ years related work experience, or an equivalent combination of education and experience, is required. Must have strong ability to translate business workflows into testable AI solutions. Must have hands‑on experience with at least one of:
· LLM/prompting workflows, automation tools, or applied ML
· SQL/BI analytics and data manipulation
Additionally, experience evaluating AI outputs and setting human‑in‑the‑loop controls, and basic Python and/or experience with analytics notebooks is preferred. Experience in clinical research, healthcare operations, or regulated environments and familiarity with clinical research concepts (protocols, source documentation, audits, data integrity expectations) is preferred. Experience with clinical research systems (CTMS, eSource, eRegulatory) and / or health information systems (EHRs, EMRs, Practice Management) and broad understanding of HIPAA, GCP, FDA 21CFR Part 11, and / or key frameworks and regulations applicable to clinical research is preferred.
Required Skills:
Strong technical literacy. Proven ability in converting complex use cases into simple solutions, supporting development of custom applications on platforms, and/or building out AI-enabled enterprise solutions
Demonstrated proficiency in data and AI technologies and software product development; strong understanding of AI-enabled software development lifecycle (SDLC), product steering, product management best practices, LLM workflow design, multi-model solutions, and related commercial applications
Demonstrated success in supporting enterprise projects and cross-functional initiatives in clinical research and / or healthcare
Broad understanding in technical subject matters such as IT operations, cloud operations and security, IT engineering and systems administration in clinical research and / or healthcare
Broad knowledge of HIPAA, 21 CFR Part 11, GCP, data privacy regulations and frameworks in clinical research and / or healthcare
Strong organizational, time management, problem solving, and project management skills to meet firm deadlines.
Executive-level written and verbal communication and presentation skills
Well-developed interpersonal and listening skills and the ability to work well independently and collaboratively within a team environment, building trusted relationships with clients and sponsors, and with all levels within the organization.
Well-developed strategic, analytical and problem-solving capabilities
Ability to effectively handle multiple tasks and adapt to changes in workloads and priorities
Must possess a high degree of professionalism, integrity, dependability, respect of others, self-motivation, and exemplify a strong work ethic.
Ability to handle highly sensitive information in a confidential and professional manner.
May be required to travel up to 10% of the time, dependent on business needs.
Benefits
Full-time employees regularly scheduled to work at least 30 hours per week are benefits-eligible, with coverage starting on the first day of the month following date of hire.
Medical, dental, vision, life insurance, short and long-term disability insurance, health savings accounts, supplemental insurances, and a 401k plan with a safe harbor match are offered.
About Alcanza Clinical Research
Alcanza Clinical Research (“Alcanza”) is a national, collaborative network of clinical research sites, founded on the mission to accelerate the development of new therapies by reducing barriers to clinical research participation for all.
We conduct research on dozens of conditions in several therapeutic areas including psychiatry, neurology, dermatology, and infectious disease. Our work is important to the patients who participate, the scientists who develop these new therapies, and the entire medical community. Because all approved medications require clinical trials, the impact of your work is exponential, reaching many thousands of future patients and improving their quality of life.
Alcanza is a culturally competent organization. We treat each other with dignity, creating an environment where all individuals feel welcome, heard, and respected for their unique perspectives and aspirations. We put considerable effort into finding exceptional employees who mirror the values most important to us: Inclusive, Impactful, Compassionate, and Determined.
Alcanza Clinical Research is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, marital status, veteran status, disability, sexual orientation, gender identity or expression, genetic information, or any other category protected by law. We recognize that diversity and inclusion is a driving force in the success of our company.
Alcanza is a growing multi-site, multi-phase clinical research company with a network of locations in AL, AZ, FL, GA, IL, MA, MI, MO, NV, SC, TX, VA, and Puerto Rico. We have established a strong presence across Phase I-IV studies and several therapeutic areas including vaccine, neurology, dermatology, psychiatry, and general medicine. Join us as we continue to grow.
The Data & AI Analyst supports the design, testing, deployment, and continuous improvement of AI‑enabled solutions that enhance patient recruitment, clinical operations, quality, and business workflows across a multi‑site clinical research network. This role focuses on applied AI, especially LLM‑enabled workflows, automation, and decision support—ensuring solutions are reliable, explainable, compliant, and usable by support and site-based teams.
The AI Analyst partners with operations, quality/QA, recruitment, finance, and IT to identify AI opportunities, translate them into testable solutions, evaluate performance, and operationalize them safely in a regulated environment (HIPAA/GCP/21 CFR expectations.
Key Responsibilities
Essential Job Duties:
AI Discovery, Use Case Identification, Design & Build Support, Evaluation & Readiness
Continuously stay current with emerging data, AI, and analytics innovations, assessing their relevance and responsible application within a regulated clinical research environment.
AI Use Case Discovery & Requirements (Business-to-Technical): identify high‑value AI opportunities in workflows such as recruitment operations, compliance checks, audit readiness, and administrative processes.
Gather requirements from stakeholders and translate them into clear problem statements, success metrics, and acceptance criteria.
Produce lightweight artifacts (use case briefs, workflow maps, risk notes) to guide build/test cycles.
LLM Workflow Design (Human-in-the-Loop): Design and iterate LLM‑supported workflows for document understanding and knowledge retrieval (e.g., summarization, classification, extraction, Q&A), with strong attention to “human review” steps for clinical appropriateness.
Build prompt templates, structured output formats, and validation logic for consistent results.
Support AI use cases like LLM review of clinical notes/source documents for compliance and audit readiness (where approved), aligning with the organization’s stated opportunities.
Model & Output Evaluation (Quality, Reliability, Safety): Create evaluation plans and test sets (representative examples, edge cases, failure modes).
Measure performance using agreed metrics (accuracy, precision/recall where applicable, extraction fidelity, reviewer agreement).
Track and analyze errors; propose changes to prompts, data inputs, and workflow guardrails.
Maintain documentation of evaluation results to support internal QA expectations and inspection readiness principles (risk focus, documentation, traceability).
Assist in identifying “low risk / high volume” opportunities to reduce manual effort, consistent with the organization’s interest in automating tedious workflows.
Produce AI‑supported insights that help teams prioritize work, understand constraints, and improve action and decision-making across the study lifecycle and patient journey to deliver operational efficiency and quality (within policy and privacy rules).
Data Handling, Privacy, and Compliance-by-Design Follow data governance standards for handling sensitive data (PHI/PII).
Ensure AI workflows meet organizational expectations around HIPAA/GCP/21 CFR Part 11 awareness (working with IT/QA for controls).
AI-Enabled Product Development Support & Deployment, Process Automation, Training & Support
Participate in the AI-powered product development lifecycle and support automation for back‑office and operational processes (e.g., routing, triage, reconciliation support, drafting standardized responses, generating checklists).
Stakeholder Enablement & Adoption: Create training materials and user guidance for AI tools and support deployment of said solutions across the organization (what it does, what it doesn’t do, review steps, escalation paths)
Gather user feedback and usage patterns; drive iterative improvements.
Communicate outcomes clearly to non‑technical teams (what changed, why it matters, how to use it).
Documentation & Operational Excellence: document prompt versions, workflow logic, evaluation results, and release notes.
Support change management and “release discipline” to avoid disruption to site operations.
Additional Responsibilities
Perform other duties as assigned to support organizational goals.
Skills, Knowledge and Expertise
Minimum Qualifications: Bachelor’s degree or equivalent experience in analytics, computer science, informatics, engineering, or related field, and 2+ years related work experience, or an equivalent combination of education and experience, is required. Must have strong ability to translate business workflows into testable AI solutions. Must have hands‑on experience with at least one of:
· LLM/prompting workflows, automation tools, or applied ML
· SQL/BI analytics and data manipulation
Additionally, experience evaluating AI outputs and setting human‑in‑the‑loop controls, and basic Python and/or experience with analytics notebooks is preferred. Experience in clinical research, healthcare operations, or regulated environments and familiarity with clinical research concepts (protocols, source documentation, audits, data integrity expectations) is preferred. Experience with clinical research systems (CTMS, eSource, eRegulatory) and / or health information systems (EHRs, EMRs, Practice Management) and broad understanding of HIPAA, GCP, FDA 21CFR Part 11, and / or key frameworks and regulations applicable to clinical research is preferred.
Required Skills:
Strong technical literacy. Proven ability in converting complex use cases into simple solutions, supporting development of custom applications on platforms, and/or building out AI-enabled enterprise solutions
Demonstrated proficiency in data and AI technologies and software product development; strong understanding of AI-enabled software development lifecycle (SDLC), product steering, product management best practices, LLM workflow design, multi-model solutions, and related commercial applications
Demonstrated success in supporting enterprise projects and cross-functional initiatives in clinical research and / or healthcare
Broad understanding in technical subject matters such as IT operations, cloud operations and security, IT engineering and systems administration in clinical research and / or healthcare
Broad knowledge of HIPAA, 21 CFR Part 11, GCP, data privacy regulations and frameworks in clinical research and / or healthcare
Strong organizational, time management, problem solving, and project management skills to meet firm deadlines.
Executive-level written and verbal communication and presentation skills
Well-developed interpersonal and listening skills and the ability to work well independently and collaboratively within a team environment, building trusted relationships with clients and sponsors, and with all levels within the organization.
Well-developed strategic, analytical and problem-solving capabilities
Ability to effectively handle multiple tasks and adapt to changes in workloads and priorities
Must possess a high degree of professionalism, integrity, dependability, respect of others, self-motivation, and exemplify a strong work ethic.
Ability to handle highly sensitive information in a confidential and professional manner.
May be required to travel up to 10% of the time, dependent on business needs.
Benefits
Full-time employees regularly scheduled to work at least 30 hours per week are benefits-eligible, with coverage starting on the first day of the month following date of hire.
Medical, dental, vision, life insurance, short and long-term disability insurance, health savings accounts, supplemental insurances, and a 401k plan with a safe harbor match are offered.
About Alcanza Clinical Research
Alcanza Clinical Research (“Alcanza”) is a national, collaborative network of clinical research sites, founded on the mission to accelerate the development of new therapies by reducing barriers to clinical research participation for all.
We conduct research on dozens of conditions in several therapeutic areas including psychiatry, neurology, dermatology, and infectious disease. Our work is important to the patients who participate, the scientists who develop these new therapies, and the entire medical community. Because all approved medications require clinical trials, the impact of your work is exponential, reaching many thousands of future patients and improving their quality of life.
Alcanza is a culturally competent organization. We treat each other with dignity, creating an environment where all individuals feel welcome, heard, and respected for their unique perspectives and aspirations. We put considerable effort into finding exceptional employees who mirror the values most important to us: Inclusive, Impactful, Compassionate, and Determined.
Alcanza Clinical Research is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, marital status, veteran status, disability, sexual orientation, gender identity or expression, genetic information, or any other category protected by law. We recognize that diversity and inclusion is a driving force in the success of our company.