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 for this role?

The compensation for this Principal Data Scientist - Focus: Clinical / HLS, Azure ML and Databricks role is calibrated to market for Columbus, OH and the specific experience level the client is targeting. Where you land depends on validated years of experience, the depth of your stack 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 26-02719Posted Today

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.

Location: Columbus, OH · Onsite
Compensation: Compensation discussed at interview

Talk to a recruiter

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

Stack

Data
Azure
Databricks

About the role

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 investing heavily in analytics, machine learning, and AI, but many still struggle to turn fragmented clinical and operational data into scalable, governed, production-ready solutions.
We are seeking a Principal Data Scientist with deep clinical or healthcare and life sciences expertise, strong Azure Machine Learning experience, and hands-on Databricks capability. In this client-facing consulting role, you will help healthcare organizations design, develop, evaluate, and operationalize advanced analytics and AI solutions across modern cloud data platforms.
You will work at the intersection of data science, clinical context, cloud architecture, and enterprise delivery. You will help clients move from experimentation to measurable business and clinical impact while ensuring solutions are secure, explainable, reproducible, and aligned to healthcare standards and stakeholder expectations.

Responsibilities:

Clinical Data Science Leadership: Lead the design and delivery of data science solutions for healthcare and life sciences use cases, including clinical analytics, predictive modeling, operational intelligence, population health insights, and workflow optimization.
Azure ML Solution Development: Design machine learning workflows using Azure Machine Learning, including experimentation, model training, model registry, deployment, monitoring, evaluation, and lifecycle management.
Databricks ML and Lakehouse Enablement: Build and guide ML solutions on Databricks, using notebooks, feature engineering, MLflow, Delta Lake, and scalable data pipelines to support healthcare AI and analytics use cases.
End-to-End ML Delivery: Translate business and clinical questions into data science problem statements, develop modeling approaches, validate outputs, and partner with engineering teams to productionize solutions.
Data Quality and Feature Readiness: Assess clinical and operational data readiness, identify data gaps, define feature strategies, and establish repeatable approaches for lineage, quality checks, and model reproducibility.
Responsible AI and Healthcare Governance: Define model evaluation strategies that address performance, bias, explainability, safety, drift, Client considerations, and stakeholder trust.
Client Advisory and Stakeholder Engagement: Serve as a senior advisor to clinical, technical, and executive stakeholders, helping them understand tradeoffs, risks, value drivers, and practical adoption paths for AI and ML solutions.
Practice Enablement: Mentor data scientists and engineers while contributing reusable healthcare ML patterns, Databricks accelerators, Azure ML templates, and delivery best practices for Insight.

Requirements:

Experience: 10 years of experience in data science, machine learning, healthcare analytics, AI solution delivery, or enterprise data platforms, ideally in a consulting or client-facing advisory role.
Healthcare / HLS Expertise: Strong understanding of healthcare data, clinical workflows, operational healthcare analytics, provider environments, patient data, or life sciences use cases.
Azure ML Expertise: Hands-on experience with Azure Machine Learning, including experiment tracking, model management, deployment patterns, monitoring, and integration with broader Azure services.
Databricks Expertise: Strong experience with Databricks for data engineering, analytics, feature development, MLflow, Delta Lake, and collaborative data science workflows.
Applied ML Depth: Strong foundation in predictive modeling, NLP, classification, regression, clustering, feature engineering, experiment design, and model validation.
MLOps and Production Readiness: Experience operationalizing ML models with CI/CD, version control, model registry, reproducibility, monitoring, and governance practices.
Responsible AI Mindset: Familiarity with model transparency, AI risk management, Client-sensitive environments, auditability, and healthcare-specific governance expectations.
Consulting Mindset: Strong executive communication skills with the ability to simplify technical concepts and shape practical, business-aligned AI roadmaps.

Preferred Certifications

Microsoft / Azure: Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Solutions Architect Expert, or relevant Microsoft AI and data certifications.
Databricks: Databricks Machine Learning Professional, Databricks Data Engineer, or lakehouse-related certifications.
Healthcare / Governance: HIPAA, Responsible AI, clinical analytics, or AI governance training is a plus.
Physical Requirements:
Ability to sit for extended periods while working at a computer
Capable of using a keyboard, mouse, and other standard computer peripherals
Able to see and read computer monitors and documentation
Capable of hearing for virtual meetings and conference calls
Able to communicate verbally and in writing

AI Policy:

Candidates are not permitted to use artificial intelligence tools, chatbots, or AI-assisted applications during any phase of the interview process. Use of AI assistance will result in immediate termination of the interview.

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, Azure ML and Databricks 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 for this role?: The compensation for this Principal Data Scientist - Focus: Clinical / HLS, Azure ML and Databricks role is calibrated to market for Columbus, OH and the specific experience level the client is targeting. Where you land depends on validated years of experience, the depth of your stack 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.

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

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.

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