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Assisted Reproductive Technology Jobs in Florida

SDET

Miami, FL · On-site

$47.75 - $61.75/hr

  • Medical

  • Retirement

Experience using AI-assisted development/testing tools such as GitHub Copilot is strongly preferred ... Identify, reproduce, document, and track defects through resolution. * Collaborate with developers ...

Urologist

Palm Beach, FL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and male reproductive organs. * Perform common urologic procedures such as cystoscopies ... Perform urologic surgeries including minimally invasive and robotic-assisted procedures * Prescribe ...

Urology Physician

Lake Worth, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... male reproductive organs. Perform common urologic procedures such as cystoscopies, vasectomies ... robotic-assisted procedures Prescribe and monitor medications and nonsurgical treatments ...

Urology Physician

Palm Beach Gardens, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and male reproductive organs. * Perform common urologic procedures such as cystoscopies ... Perform urologic surgeries including minimally invasive and robotic-assisted procedures * Prescribe ...

Phlebotomist I in Palm Bay FL 32907

Palm Bay, FL

$14.50 - $18.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Years of experience: 6months -2 * Skills/Specialties/Technology: blood drawing Pride-Health offers ... reproductive health decision making, medical condition, genetic information, marital status, sex ...

New

AI Agent Engineer

Dania Beach, FL · On-site +1

$102K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... assisted development tools to accelerate build velocity, generate configuration drafts, and ... case development, reproduce defects, and validate fixes - treating QA feedback as a quality ...

AI Agent Engineer

Dania Beach, FL

$102K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage AI-assisted development tools to accelerate build velocity, generate configuration drafts ... Prior experience in healthcare technology, with working knowledge of EHR/PM platforms and an ...

Showing results 21-37

Assisted Reproductive Technology information

See Florida salary details

$7

$27

$85

How much do assisted reproductive technology jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for assisted reproductive technology in Florida is $27.86, according to ZipRecruiter salary data. Most workers in this role earn between $13.79 and $30.45 per hour, depending on experience, location, and employer.

What is an assisted reproductive technology?

An Assisted Reproductive Technology (ART) job involves working in the field of reproductive medicine to help individuals and couples conceive. Professionals in ART roles may include embryologists, fertility specialists, and reproductive endocrinologists who perform procedures such as in vitro fertilization (IVF), intrauterine insemination (IUI), and egg or sperm freezing. They work in fertility clinics, laboratories, and medical centers, often collaborating with patients to develop personalized treatment plans. These jobs require specialized training in reproductive biology, medicine, or laboratory sciences. ART professionals play a crucial role in advancing fertility treatments and helping people achieve their dream of parenthood.

What are the typical daily responsibilities of an assisted reproductive technology professional?

As an Assisted Reproductive Technology (ART) professional, your typical day involves preparing and analyzing patient samples, performing procedures such as in vitro fertilization (IVF) and embryo culture, and maintaining accurate laboratory documentation. You may also counsel patients, provide education about treatment protocols, and work closely with physicians, nurses, and other laboratory staff to coordinate care. Due to the precision and sensitivity required, professionals often work in sterile lab environments and follow strict quality control measures. Collaboration and clear communication are key, as ART procedures depend heavily on seamless teamwork to achieve successful outcomes for patients. This role is both technically demanding and highly rewarding for those passionate about making a meaningful difference in patients’ lives.

What are the key skills and qualifications needed to thrive in assisted reproductive technology, and why are they important?

To thrive in the field of Assisted Reproductive Technology (ART), you need a strong background in reproductive biology, embryology, laboratory techniques, and typically a relevant degree in medical laboratory science, biology, or a related field. Technical proficiency with advanced laboratory equipment such as microscopes, incubators, and assisted fertilization technologies, as well as certifications like ESHRE or ASCP, is highly valued. Attention to detail, effective teamwork, and compassionate communication are essential soft skills for success. These competencies ensure the safe handling of delicate procedures, accurate testing, and supportive patient care in a highly specialized healthcare environment.

Infographic showing various Assisted Reproductive Technology job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $57,940 per year, or $27.9 per hour.

Lead Vulnerability Research Engineer, IT Security

Raymond James Financial Inc

Saint Petersburg, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Job Description Summary
The financial services industry is continuously targeted by sophisticated cyber adversaries ranging from criminal organizations to nation-state actors. Raymond James relies on the Cyber Threat Center (CTC) to identify, assess, and reduce technology risk across the enterprise.
The Lead Vulnerability Research Engineer will be a hands-on technical leader within Vulnerability Management, responsible for discovering, validating, and operationalizing knowledge of vulnerabilities that present credible risk to the firm. The role combines threat-informed vulnerability research, offensive security, software engineering, data analysis, and security automation. The engineer will investigate emerging vulnerabilities and attack techniques; determine exploitability, reachability, and enterprise relevance; and convert research into repeatable detection, prioritization, validation, and remediation capabilities at scale.
The engineer will responsibly apply AI-assisted techniques to accelerate hypothesis generation, code and patch analysis, test development, finding correlation, exploit-path reasoning, and remediation guidance. AI output must remain subject to rigorous human validation, security and privacy controls, reproducibility standards, and measurable quality outcomes. The role will partner across threat intelligence, security operations, application security, infrastructure, cloud, engineering, architecture, and technology risk teams to reduce exposure before adversaries can act.
Job Description
This position follows a hybrid work model, with an expectation to be in the office 3 days per week at the St. Petersburg, FL Corporate Office location.
Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.
Responsibilities
  • Lead threat-focused vulnerability research across enterprise applications, APIs, operating systems, network devices, cloud services, containers, open-source components, commercial products, and emerging AI-enabled technologies.
  • Continuously analyze threat intelligence, vendor advisories, public exploit research, malware and campaign reporting, security-research disclosures, and internal telemetry to identify vulnerabilities with credible relevance to the enterprise.
  • Perform authorized, controlled technical research to validate vulnerability conditions, affected versions, attack prerequisites, exploitability, reachability, likely impact, and available mitigations without creating unnecessary operational risk.
  • Reproduce vulnerabilities in isolated lab environments; analyze patches, source code, binaries, configurations, protocols, and proof-of-concept artifacts; and create defensible evidence that distinguishes theoretical exposure from actionable risk.
  • Develop safe detection and validation content such as authenticated checks, queries, signatures, scripts, test harnesses, configuration assessments, and exposure analytics. Ensure research artifacts are reviewed, version-controlled, documented, and designed to avoid disruption.
  • Build production-quality automation and integrations that ingest, normalize, enrich, correlate, deduplicate, prioritize, ticket, route, retest, and close vulnerability findings across scanners, asset inventories, threat-intelligence sources, software inventories, cloud platforms, endpoint tools, and engineering systems.
  • Create threat-informed prioritization models that incorporate active exploitation, adversary behavior, exploit maturity, internet exposure, asset criticality, application context, business service dependency, reachability, compensating controls, data sensitivity, and remediation feasibility.
  • Use AI-assisted research capabilities to summarize technical evidence, identify likely vulnerable code paths, compare patches, generate and refine test hypotheses, correlate findings, propose validation steps, and draft remediation guidance.
  • Evaluate and govern AI-assisted security workflows for accuracy, hallucination, prompt injection, insecure output, sensitive-data exposure, excessive agency, model and dependency supply-chain risk, reproducibility, auditability, and appropriate human oversight.
  • Design human-in-the-loop controls and benchmark AI-assisted workflows using measurable outcomes, including precision, recall, false-positive and false-negative rates, analyst time saved, validation quality, remediation quality, and reduction in time to protective action.
  • Provide rapid technical analysis for high-risk and actively exploited vulnerabilities, including concise impact assessments, affected-asset logic, interim mitigations, detection opportunities, validation procedures, and executive-ready risk communication.
  • Conduct root-cause and recurring-pattern analysis to identify systemic weaknesses in technology selection, configuration, software dependencies, asset visibility, patch processes, or control coverage; recommend durable preventive improvements.
  • Partner with remediation owners to explain technical risk, validate fixes and compensating controls, resolve disputed findings, and support risk-based decisions while maintaining clear evidence and accountability.
  • Define and report program metrics such as research-to-detection time, time to enterprise impact assessment, vulnerable-asset identification coverage, validation accuracy, remediation aging, recurrence, automation effectiveness, and measurable risk reduction.
  • Mentor engineers and analysts, establish research standards and playbooks, contribute to technical strategy and roadmaps, and serve as an escalation point for complex vulnerability questions and significant cybersecurity incidents.

Qualifications
Knowledge, Skills, and Abilities:
  • Demonstrated expertise identifying, validating, explaining, and remediating application and API vulnerabilities, including vulnerability classes represented in the OWASP Top 10 and OWASP API Security Top 10.
  • Advanced understanding of authentication, authorization, session management, cryptography, input handling, deserialization, server-side request forgery, business-logic abuse, and modern client/server attack surfaces.
  • Hands-on experience with SAST, DAST, IAST, SCA, API testing, secrets detection, container scanning, infrastructure-as-code scanning, and penetration-testing tools; ability to tune controls and validate tool output rather than rely solely on scanner severity.
  • Strong automation and software engineering capability in Python and at least one of PowerShell, JavaScript/TypeScript, Go, Java, C#, or shell; experience consuming REST/GraphQL APIs, processing structured data, writing tests, and maintaining production-quality code.
  • Experience integrating security tools with CI/CD and engineering platforms such as GitHub, GitLab, Azure DevOps, Jenkins, Jira, or comparable technologies.
  • Demonstrated experience applying AI-assisted or machine-learning-enabled security tooling to source-code review, vulnerability triage, exploit-path analysis, test generation, remediation support, or finding correlation.
  • Ability to critically evaluate AI output, recognize hallucinations and insecure recommendations, protect sensitive source code and data, design human-in-the-loop validation, and establish measurable quality and governance controls.
  • Knowledge of secure AI-assisted development risks, including prompt injection, insecure output handling, excessive agency, sensitive information disclosure, model or dependency supply-chain concerns, and misuse of generated code.
  • Experience securing cloud-native applications on Microsoft Azure, Amazon Web Services, and/or Google Cloud Platform, including identity, secrets, workloads, APIs, containers, serverless services, and Kubernetes.
  • Working knowledge of threat modeling, secure architecture principles, software supply-chain security, SBOM/VEX concepts, artifact integrity, dependency governance, and provenance or attestation practices.
  • Ability to communicate technical risk clearly to developers, architects, executives, auditors, and non-technical stakeholders, and to translate findings into prioritized engineering actions.
  • Ability to lead through influence, exercise sound judgment under uncertainty, mentor others, and balance security outcomes with client and business needs.

Education/Previous Experience:
  • Typically requires a Bachelor's degree in computer science, software engineering, cybersecurity, information systems, artificial intelligence, data science, engineering, or a related field and five or more years of relevant experience. An equivalent combination of education, training, industry research, and demonstrated technical experience may be considered.
  • Typically requires three or more years of hands-on experience in vulnerability research, vulnerability management engineering, offensive security, penetration testing, exploit validation, security tooling development, detection engineering, product security, application security, or a closely related discipline.
  • Demonstrated hands-on experience using leading large language model platforms, including OpenAI GPT models and Anthropic Claude models, for security research, code and patch analysis, hypothesis generation, finding correlation, exploit-path reasoning, test development, technical writing, and remediation support.
  • Experience designing, building, and maintaining reusable AI capabilities such as custom GPTs, Agent Skills, agents, subagents, prompt and context libraries, tool-enabled workflows, and multi-step analysis pipelines that encode repeatable vulnerability-research methods and produce consistent, auditable outputs.
  • Experience developing automated or agentic workflows using model APIs and orchestration frameworks, including OpenAI's Responses API and Agents SDK, Anthropic's API and agent tooling, function or tool calling, structured outputs, retrieval-augmented generation, Model Context Protocol integrations, and secure connections to enterprise data and systems.
  • Demonstrated ability to translate analyst procedures into repeatable AI-assisted workflows for vulnerability intake, advisory and patch analysis, exposure assessment, proof-of-concept review, affected-asset identification, threat-informed prioritization, remediation guidance, retesting, reporting, and knowledge capture.
  • Practical experience evaluating multiple models and selecting fit-for-purpose approaches based on reasoning quality, coding performance, context requirements, latency, cost, privacy, data residency, and security constraints rather than relying on a single model or provider.
  • Demonstrated experience developing security automation and integrating vulnerability data, AI-assisted analysis, and security controls with CI/CD platforms, source-control systems, scanners, asset inventories, cloud services, ticketing platforms, threat-intelligence sources, and security data platforms.
  • Experience implementing AI safety and governance controls, including prompt-injection defenses, input and output validation, least-privilege tool access, sandboxing, human approval gates, sensitive-data handling, secrets protection, logging, traceability, reproducibility, model and dependency risk management, and prevention of unauthorized or disruptive actions.
  • Evidence of testing and measuring AI-assisted security workflows using representative evaluation sets and operational metrics such as precision, recall, false-positive and false-negative rates, consistency, analyst time saved, research-to-detection time, remediation quality, and reduction in time to protective action.
  • Ability to review model-generated code, queries, tests, detections, and remediation recommendations for hallucinations, unsafe assumptions, insecure code, weak evidence, and operational risk before those outputs are promoted into production or used to drive consequential decisions.

Certifications
One or more of the following certifications, or the ability to obtain a relevant certification within one year, is preferred:
  • Offensive Security Certified Professional (OSCP), Offensive Security Experienced Penetration Tester (OSEP), Offensive Security Web Expert (OSWE), or comparable advanced offensive-security credential.
  • GIAC Exploit Researcher and Advanced Penetration Tester (GXPN), GIAC Penetration Tester (GPEN), GIAC Web Application Penetration Tester (GWAPT), or comparable vulnerability-research or assessment certification.
  • Relevant cloud, Kubernetes, secure software, reverse-engineering, incident-response, or DevSecOps certification aligned with the assigned environment.

Education
Bachelor's, Bachelor's: Data Science, Bachelor's: Information Technology
Work Experience
General Experience - 6 to 10 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal oppor