3 дня назад
Senior Data Scientist - Clinical Informaticist (Healthcare AI)
85 600 - 149 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist - Clinical Informaticist (Healthcare AI): Building clinically accurate surveillance and data products for the Sentri7 Drug Diversion platform with an accent on healthcare workflows, clinical data standards, and validated AI-ready datasets. Focus on profiling messy clinical data, designing synthetic datasets, validating customer configurations, and translating analytical findings into reliable product features and documentation.
Location: USA - Madison, WI, Junction Rd; hybrid role
Salary: $85,600.00–$149,400.00 USD annually, plus bonus eligibility
Company
develops healthcare information and technology solutions, including the Sentri7 Drug Diversion platform.
What you will do
- Engage healthcare customers to understand medication, continuous infusion, clinical, and operational workflows.
- Profile, map, normalize, and validate real-world healthcare data for clinically accurate and interoperable product outputs.
- Configure customer environments, support onboarding, investigate diversion and surveillance issues, and distinguish data or configuration problems from product defects.
- Build synthetic and de-identified datasets for demonstrations, testing, and model development while protecting PHI.
- Partner with data engineering on ETL pipelines and with product and clinical teams to turn findings into features and clinician-facing documentation.
- Communicate analyses, validation results, dataflows, release notes, and implementation progress to technical, clinical, and customer stakeholders.
Requirements
- Degree or equivalent hands-on experience in pharmacy, nursing, medicine, health or clinical informatics, data science, or a related quantitative field.
- Clinical background and strong understanding of medication-use, acute-care, and healthcare delivery workflows.
- Proficiency in Python and/or R, SQL, statistical modeling, and machine learning, with experience taking analyses or models through validation.
- Knowledge of RxNorm, NDC, SNOMED CT, ICD, LOINC, GPI, MME, EMR, ADC, HL7/FHIR, and healthcare interoperability.
- Experience profiling and validating large, messy clinical datasets and working with clinical surveillance, medication safety, diversion monitoring, or clinical decision-support software.
- At least 4 years of professional experience in data science, predictive modeling, or machine learning.
Nice to have
- Experience with Oracle, Epic, Meditech, Cerner, Pyxis, or Omnicell data.
- PowerShell or Python scripting for validation, plus familiarity with MLOps and model monitoring.
- Advanced degree, relevant clinical certification or licensure, portfolio work, or a demonstrated record of shipping healthcare data or AI solutions.
Culture & Benefits
- Hybrid work arrangement with potential onsite participation during the hiring process.
- Medical, dental, and vision plans.
- 401(k), FSA/HSA, commuter benefits, and tuition assistance.
- Vacation, sick time, and paid parental leave.
Hiring process
- Interviews are conducted without AI tools or external prompts and may include in-person interviews.
- Applicants may be required to appear onsite at a office.
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