Senior AI/ML Scientist – Cardiovascular AI

563d Siemens Medical Solutions USA, Inc.; United States; Sur place; USD 154 450 - 212 366; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Paid time off

Paid sick and safe time

Résumé du poste

Siemens Medical Solutions USA, Inc. is seeking a Senior AI/ML Scientist to lead advanced machine-learning model development supporting clinical decision-making in cardiovascular care. The ideal candidate will have a PhD or MS, 5–10+ years of AI/ML experience, and a strong programming background in Python.

Key responsibilities include designing deep-learning architectures, validating AI outputs, and mentoring junior team members. Benefits include comprehensive health insurance and retirement plans.

Qualifications

• 5–10+ years of experience in AI/ML, including deep learning.
• Proven track record of delivering AI/ML models in real-world or production environments.
• Experience working with complex datasets, ideally within medical imaging.

Responsabilités

• Leading the translation of cardiovascular clinical workflows into AI/ML problem definitions.
• Designing and implementing advanced deep-learning architectures.
• Driving validation strategies for AI outputs.

Connaissances

Machine learning

Deep learning

Python

Problem-solving

Formation

PhD or MS in Computer Science, AI, Biomedical Engineering

Outils

PyTorch

TensorFlow

Description du poste

Senior AI/ML Scientist – Cardiovascular AI Team

Lead the development of advanced machine-learning models that support clinical decision‑making across cardiovascular imaging and diagnostics.

Responsibilities

• Leading the translation of cardiovascular clinical workflows (e.g., cardiac imaging, hemodynamics, disease detection, risk stratification) into AI/ML problem definitions, data strategies, and model requirements.
• Designing and implementing advanced deep‑learning architectures, foundation models, and vision‑language models for cardiovascular imaging, signal processing, and clinical data analysis.
• Driving validation strategies, including statistical rigor, model robustness, and clinical relevance of AI outputs.
• Leading cross‑functional efforts across data acquisition, annotation, model development, and validation, in collaboration with clinical and engineering teams.
• Managing and prioritizing multiple AI/ML initiatives across the cardiovascular portfolio.
• Contributing to intellectual property, publications, and external collaborations in the cardiovascular AI space.
• Proposing and driving new AI/ML‑based innovations aligned with cardiovascular product and research strategy.
• Mentoring junior team members and influencing technical direction across projects.
• Staying at the forefront of AI/ML research and applying state‑of‑the‑art techniques to cardiovascular challenges.

Impact

• Advancing AI solutions that improve diagnosis, treatment planning, and outcomes in cardiovascular care.
• Enabling clinicians with data‑driven insights across imaging and patient data.
• Driving innovation in cardiac imaging, disease detection, and predictive modeling.
• Contributing to scalable, high‑performance AI systems deployed in clinical environments.

Minimum Qualifications

• PhD (preferred) or MS with strong experience in Computer Science, AI, Biomedical Engineering, or a related field.
• 5–10+ years of experience in AI/ML, including deep learning.
• Strong programming experience in Python with frameworks such as PyTorch or TensorFlow.
• Proven track record of delivering AI/ML models in real‑world or production environments.
• Experience working with complex datasets, ideally within medical imaging, cardiovascular data, or healthcare.
• Strong ability to lead problem‑solving efforts and communicate complex ideas clearly.
• Experience contributing to publications, patents, or research collaborations.

Preferred Qualifications

• Experience with cardiovascular imaging modalities (e.g., CT, MRI, echocardiography, angiography).
• Familiarity with time‑series physiological data (e.g., ECG, hemodynamic signals).
• Experience working in regulated environments (FDA, clinical validation, SaMD).
• Knowledge of clinical workflows in cardiology or cardiovascular care.

Benefits

• Medical insurance, dental insurance, vision insurance, 401(k) retirement plan.
• Life insurance, long‑term and short‑term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

Compensation

The base pay range for this position is: $154,450 – $212,366. Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. If this is a commission eligible position, the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

Equal Employment Opportunity Statement

Siemens Healthineers is an Equal Opportunity and affirmative action employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the law: Applicants and employees are protected under Federal law from discrimination.

Reasonable Accommodations

Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you’re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support.

Export Control

"A successful candidate must be able to work with controlled technology in accordance with US export control law." "It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations."

Data Privacy

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