AI Data Scientist Senior
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Das ist der Job
You will also mentor and develop junior data scientists, fostering a culture of data‑driven innovation.
Darum lohnt es sich
Collaborate with cross‑functional teams to define project scope, objectives, and success metrics. Promote a culture of collaboration, knowledge sharing, and continuous learning within the data science team.
Skills Analytical Thinking, C++ Programming Language, Clinical Data Cleaning, Communication, Group Collaboration, Machine Learning Methods, Python (Programming Language), Statistical Methods, Structured Query Language (SQL) Benefits We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners.
Location: Work from home (Pennsylvania) Shift: Days (United States of America) Scheduled Weekly Hours: 40 Worker Type: Regular Exemption Status: Yes Job Summary The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle of data science initiatives that directly impact healthcare outcomes.
Leveraging deep expertise in machine learning, you will spearhead the development, implementation, and evaluation of complex AI models in healthcare settings. Your ability to translate technical concepts into actionable insights will empower stakeholders to make informed decisions that enhance patient care and operational efficiency.
Job Duties Lead and manage the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization. Ensure projects align with organizational goals and deliver measurable impact on healthcare outcomes.
Leverage deep understanding of machine learning algorithms (decision trees, neural networks, graphical models, etc.) to build sophisticated predictive models for diverse healthcare applications. Utilize clustering, dimension reduction, and deep generative models to uncover hidden patterns and insights within large, complex healthcare datasets.
Apply rigorous validation techniques to ensure model accuracy, reliability, and fairness. Oversee deployment of models into production environments, ensuring seamless integration with existing systems.
Extract insights from clinical and operational data sources (Epic Clarity, HL7, DICOM, and other enterprise data sources) to inform decision‑making and guide project direction. Translate complex technical findings into compelling narratives that resonate with non‑technical stakeholders.
Facilitate data‑driven decision‑making by effectively communicating the value and impact of AI models. Mentor and guide junior data scientists, fostering their professional growth and technical expertise. Contribute to developing best practices and standards for data science and machine learning within the organization.
Stay abreast of the latest advancements in machine learning and healthcare research to identify opportunities for improvement and innovation. Experiment with new approaches and technologies to enhance model performance and expand the organization’s data science capabilities. Work is typically performed in an office environment.
Accountable for satisfying all job‑specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all‑inclusive.
They represent typical elements considered necessary to successfully perform the job. *Relevant experience may be a combination of related work experience and degree obtained (Master’s Degree = 2 years; PHD = 4 years ).
Education Bachelor’s Degree‑Related Field of Study (Required) Experience Minimum of 4 years‑Relevant experience* (Required) Certifications and Licenses None specified. We encourage an atmosphere of collaboration, cooperation and collegiality.
Equal Opportunity Statement We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran. #J-18808-Ljbffr
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