Is this a contract or full-time role?

This is a contract opportunity on ApTask's payroll. If selected, you will be employed by ApTask and will receive a W-2 for the duration of your assignment. During your engagement, you will be eligible for subsidized benefits, including medical, dental, vision insurance, a 401(k) plan, commuter benefits, and state-mandated paid sick leave. Your pay cycle (weekly or biweekly, as applicable) will be confirmed at the time of your offer. You'll also have a dedicated ApTask recruiter as your single point of contact throughout your assignment, providing ongoing support from onboarding through completion. Many of our contract opportunities are extended or converted to permanent positions based on business needs and performance. Your recruiter can share the client's historical extension and conversion trends during the interview process. Benefits, assignment duration, extension, conversion opportunities, and eligibility are subject to client requirements, business needs, and applicable plan terms.

What is the compensation range for this role?

The advertised range for this Principal Data Scientist - Focus: Clinical / HLS, Google Cloud Gen AI, Agents, and Applied M role is $80–$90 per hour. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

How quickly does the interview process move?

If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

OnsitecontractorReq 26-02718Posted Today

Principal Data Scientist - Focus: Clinical / HLS, Google Cloud Gen AI, Agents, and Applied M

Contract role in Columbus, OH. Onsite engagement, matched and submitted by an ApTask vertical recruiter.

Location: Columbus, OH · Onsite
Compensation: $80–$90/hr

Talk to a recruiter

Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.

Stack

GenAI
Data
GCP
AI

About the role

At a glance

AI summary

Day-to-day: Design and validate clinical AI solutions on Google Cloud, architect agentic systems for healthcare workflows, evaluate model performance for bias and safety, advise clients on data readiness and implementation roadmaps
You'll bring: 10+ years data science or clinical AI experience, healthcare domain expertise, hands-on Google Cloud AI/Vertex AI/Gemini, generative and agentic AI design, strong NLP and ML fundamentals, responsible AI understanding
Good fit if: Google Cloud Professional ML Engineer or Data Engineer certification, HIPAA or clinical analytics training, Databricks or TensorFlow credentials, consulting background with healthcare organizations

Generated from the recruiter description below. The full posting is the source of truth — always read it before applying.

About Client:
The client is a prominent global technology solutions provider, renowned for its comprehensive range of services and products tailored to meet the diverse needs of businesses.
The company's core focus revolves around assisting organizations in managing and optimizing their IT operations, thereby driving productivity, efficiency, and innovation. It offers an extensive array of services, including strategic consulting, technology implementation, cloud computing, data center management, cybersecurity, software licensing, and hardware procurement.
In addition to its business-to-business (B2B) services, it also serves as a valuable resource for IT professionals and decision-makers, providing valuable insights and thought leadership through its various publications, webinars, and events.

Rate:

Job Description:

Now is the time to bring your expertise to Insight. Healthcare and life sciences organizations are moving quickly to adopt generative AI, machine learning, and agentic systems, but many still face a critical challenge: converting complex clinical data and operational workflows into safe, measurable, production-ready AI solutions.
We are seeking a Principal Data Scientist with deep experience in clinical or healthcare and life sciences environments, Google Cloud generative AI, agentic AI patterns, and applied machine learning. In this client-facing consulting role, you will help healthcare organizations design, validate, and operationalize AI solutions that improve decision support, streamline workflows, and unlock value from structured and unstructured clinical data.
You will bridge the gap between clinical stakeholders, technical engineering teams, and executive leadership, ensuring that AI solutions are not only innovative, but also responsible, explainable, secure, and aligned to healthcare business outcomes.

Responsibilities:

Clinical AI Solution Design: Lead the design of AI and ML solutions for healthcare and life sciences use cases, including clinical decision support, workflow automation, operational intelligence, patient-facing insights, and knowledge retrieval across complex healthcare data environments.
Google Cloud Gen AI Architecture: Design and guide implementation of generative AI solutions using the Google Cloud AI ecosystem, including Vertex AI, Gemini, model evaluation workflows, retrieval-augmented generation patterns, and enterprise-grade deployment approaches.
Agentic Systems for Healthcare Workflows: Architect and prototype agentic AI solutions that can reason across clinical, operational, and knowledge-based workflows while maintaining appropriate controls, traceability, and human-in-the-loop oversight.
Applied Machine Learning: Develop and guide machine learning approaches for classification, prediction, summarization, entity extraction, document intelligence, and other healthcare-relevant use cases using structured, semi-structured, and unstructured data.
Data Readiness and Clinical Context: Partner with client stakeholders to evaluate data quality, lineage, terminology, interoperability considerations, and clinical workflow fit before advancing AI use cases into production.
Model Evaluation and Responsible AI: Define evaluation strategies for accuracy, relevance, bias, safety, drift, explainability, and clinical appropriateness, ensuring AI outputs can be trusted by healthcare stakeholders.
Technical Advisory and Client Engagement: Serve as a senior technical advisor to client leaders, translating complex data science and Gen AI concepts into practical roadmaps, business value narratives, and implementation plans.
Thought Leadership and Delivery Enablement: Mentor data scientists, engineers, and consultants while contributing reusable healthcare AI patterns, accelerators, evaluation frameworks, and delivery playbooks for Insight.

Requirements:

Experience: 10 years of experience in data science, machine learning, healthcare analytics, clinical AI, or applied AI solution delivery, ideally within consulting or enterprise client environments.
Healthcare / HLS Domain Expertise: Strong understanding of clinical workflows, healthcare operations, clinical documentation, patient data, provider environments, payer/provider dynamics, or life sciences data use cases.
Google Cloud AI Expertise: Hands-on experience with Google Cloud AI and data services, especially Vertex AI, Gemini, BigQuery, document AI, model deployment, and enterprise ML workflows.
Generative AI and Agentic AI: Practical experience designing Gen AI and agentic solutions, including prompt engineering, tool use, orchestration patterns, RAG architectures, guardrails, and human review workflows.
Machine Learning Depth: Strong foundation in supervised and unsupervised learning, NLP, model evaluation, feature engineering, experimentation, and production ML lifecycle practices.
Responsible AI Mindset: Understanding of healthcare data sensitivity, Client protection, explainability, model risk, clinical validation, and governance expectations for AI-enabled healthcare solutions.
Consulting Mindset: Exceptional communication skills with the ability to translate clinical and technical complexity into business-aligned recommendations for executives, clinical leaders, and technology teams.
Preferred Certifications
Google Cloud / AI: Google Cloud Professional Machine Learning Engineer, Professional Data Engineer, or relevant Google Cloud AI certifications.
Data Science / ML: Databricks Machine Learning, TensorFlow, or other relevant ML and analytics certifications.
Healthcare / Governance: Certifications or training related to healthcare data, HIPAA, clinical analytics, Responsible AI, or AI governance are a plus.

Physical Requirements:

Must be able to
Sit for extended periods while working at a desk and computer
Use a computer keyboard, mouse, and monitor for data analysis and coding tasks
Participate in in-person meetings and collaborative sessions
Move between office spaces and meeting areas as needed
Remote work requires reliable internet connectivity and a suitable home workspace.
Interview Process Note
The use of artificial intelligence tools (including but not limited to ChatGPT, Copilot, or similar AI assistants) during any phase of the interview process will result in immediate termination of the interview. This applies to all technical assessments, coding exercises, and take-home assignments.

Please note that ApTask offers subsidized insurance coverage to our employees.

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at [email protected].

Applicant Consent:
By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or [email protected]. Message frequency may vary. Msg & data rates may apply

About healthcare at ApTask

What this vertical looks like inside ApTask.

Healthcare staffing at ApTask covers clinical technology, revenue-cycle systems, EMR/EHR implementation (Epic, Cerner, Meditech), regulatory compliance, and healthcare analytics roles across payer, provider, and pharmaceutical clients. Every candidate is credential-verified against the state licensure and HIPAA training the client requires. We are not a per-diem clinical staffing firm — our placements are project-based technology and operations professionals who understand HL7, FHIR, HITECH, and CMS reporting. Placements are W-2 with full benefits, and every candidate identity is background-checked to the depth required by BAAs with covered entities.

How it works

What happens after you apply.

1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you onboard W-2 with ApTask (contract) or direct-hire with the client (per role type). Benefits, payroll, and timesheets run through us. Your recruiter stays your point of contact for the length of the engagement.

Frequently asked

Questions candidates ask about this role.

Is the Principal Data Scientist - Focus: Clinical / HLS, Google Cloud Gen AI, Agents, and Applied M role on-site?: Yes — this role is on-site at the client's Columbus, OH location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.
Is this a contract or full-time role?: This is a contract opportunity on ApTask's payroll. If selected, you will be employed by ApTask and will receive a W-2 for the duration of your assignment. During your engagement, you will be eligible for subsidized benefits, including medical, dental, vision insurance, a 401(k) plan, commuter benefits, and state-mandated paid sick leave. Your pay cycle (weekly or biweekly, as applicable) will be confirmed at the time of your offer. You'll also have a dedicated ApTask recruiter as your single point of contact throughout your assignment, providing ongoing support from onboarding through completion. Many of our contract opportunities are extended or converted to permanent positions based on business needs and performance. Your recruiter can share the client's historical extension and conversion trends during the interview process. Benefits, assignment duration, extension, conversion opportunities, and eligibility are subject to client requirements, business needs, and applicable plan terms.
What is the compensation range for this role?: The advertised range for this Principal Data Scientist - Focus: Clinical / HLS, Google Cloud Gen AI, Agents, and Applied M role is $80–$90 per hour. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

More roles in this vertical

Onsite · Columbus, OH

Principal Data Scientist - Focus: Clinical / HLS, Azure ML and Databricks

Contract role in Columbus, OH. Onsite engagement, matched and submitted by an ApTask vertical recruiter.

Remote · Multiple, US

Sales Leader- Healthcare BPO/BPAAS .

Direct Placement role in Multiple locations. Remote engagement, matched and submitted by an ApTask vertical recruiter.

Ready to apply? Two minutes, one profile.

Your résumé routes to the recruiter who owns this requisition. Identity-verified once, matched against every future ApTask role that fits your stack.

Join talent network See all roles

Principal Data Scientist - Focus: Clinical / HLS, Google Cloud Gen AI, Agents, and Applied M

About the role

What this vertical looks like inside ApTask.

What happens after you apply.

1. Verified profile

2. Recruiter calibration call

3. Client interview

4. Offer + onboarding

Questions candidates ask about this role.

Keep browsing.

Principal Data Scientist - Focus: Clinical / HLS, Azure ML and Databricks

Sales Leader- Healthcare BPO/BPAAS .

Ready to apply? Two minutes, one profile.