Job description

Prominence Advisors is actively seeking a Senior Data Scientist to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight. We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions. Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence. By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter. Job Summary Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows. • Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring. • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement. • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows. • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries. • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders. • Manage documentation of best practices and scalable frameworks that can be applied across client engagements. • Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables. Minimum Qualifications • 3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role. • Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation. • Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting). • Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring). • Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines. • Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake. • Strong communication skills with the ability to present technical findings to non-technical audiences. Desired Qualifications • Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies. • Experience with population health analytics, risk stratification, or social determinants of health. • Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research. • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks. • Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker). • Revenue cycle, staffing optimization, or other operational analytics experience. • Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline Skills, Knowledge, and Abilities • Professional : Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains”). • Organized : Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow. • Self-Motivated : Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently. • Highly Adaptable : Quickly acclimates to new project assignments and diverse work environments. • Creative : Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions. • Communication : Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms. • Proactive : Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary. • Team-Oriented : Passionate about mentoring and guiding others, thrives in a team-based environment. Physical and Medical Standards, Working Conditions and Environment • Must be able to sit or stand at a computer and work remotely and independently from personal home office • Willingness to travel for onsite meetings and business reviews as needed Hours Worked This is a Full Time, 40 hour per week position. This role is part of our active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: • Competitive Salaried and Hybrid Compensation Plans • Health Care Plan (Medical, HSAs, Dental & Vision) • Retirement Plan (401k) • Life Insurance (Basic, Voluntary & AD&D) • Dependent & Health Savings Accounts • Short Term & Long Term Disability • Paid Time Off (Vacation/Sick & Public Holidays) • Training & Development Fund • Work From Home • Charitable Giving to Causes You Believe In Employment Eligibility Must be legally authorized to work in the United States without sponsorship. Commitment to Equal Opportunity The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. Partnership Eligibility Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.

Requirements

Must-haves

Prominence Advisors is actively seeking a Senior Data Scientist to join our team.
Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring.
Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement.
Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows.
Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries.
Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders.
Manage documentation of best practices and scalable frameworks that can be applied across client engagements.
Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables.
3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role.
Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation.
Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting).
Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring).

Nice-to-haves

Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies.
Experience with population health analytics, risk stratification, or social determinants of health.
Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research.
Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks.
Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker).
Revenue cycle, staffing optimization, or other operational analytics experience.
Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline
Skills, Knowledge, and Abilities
Organized : Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow.
Self-Motivated : Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently.
Highly Adaptable : Quickly acclimates to new project assignments and diverse work environments.
Creative : Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaillmpythonsqlci/cdmlawsazuregcp

Platform: workable
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off