Senior Application Scientist, Generative AI

Sirona Medical; United States; On-site; USD 175,000 - 215,000; Full time

Benefits offered by this job

Stock Options

Unlimited PTO

Life insurance

Maternity and Paternity Leave

401K matching

Sponsorship for conferences

Job summary

A cutting-edge healthcare technology startup is looking for a Senior Application Scientist in Generative AI. The role involves designing and implementing AI models in clinical applications to improve patient outcomes. The ideal candidate will have a PhD and over 8 years of experience in machine learning, especially in NLP and generative techniques. This full-time position offers a salary range of $175,000 to $215,000 and flexible pay based on experience.

Qualifications

• Strong expertise in traditional machine learning techniques.
• 8+ years of experience applying machine learning and AI.
• Proficiency with Python, SQL, and data science libraries.

Responsibilities

• Design and develop generative AI models for clinical applications.
• Integrate AI models into real-world healthcare applications.
• Stay on top of emerging trends and advancements in AI.

Skills

Machine Learning

Natural Language Processing

Generative AI

Python

SQL

Education

PhD in Data Science or related field

Tools

PyTorch

Scikit-learn

Job description

Overview

Senior Application Scientist, Generative AI at Sirona Medical.

This range is provided by Sirona Medical. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range: $175,000.00/yr - $215,000.00/yr

Responsibilities

• Design, develop, and fine-tune generative AI models for clinical applications, including semi-automated medical report generation, patient data summarization, and clinical decision support.
• Implement robust evaluation pipelines to benchmark model performance, detect drift, and ensure continuous improvement.
• Prototype and integrate AI models into real-world healthcare applications, collaborating with product and engineering teams to push models into production.
• Conduct research and experimentation to optimize LLMs, NLP models, and multimodal approaches for healthcare tasks.
• Explore and prototype agentic workflows that leverage natural language voice commands to enhance clinical workflows.
• Evaluate and integrate third-party algorithms and AI models, leveraging LLMs to improve functionality and system performance.
• Stay on top of emerging trends and advancements in AI, with a focus on identifying opportunities for innovation in clinical applications.

Qualifications

• PhD in Data Science, Computer Science, Machine Learning, Computational Linguistics, or related fields; or Master's degree combined with equivalent relevant industry experience.
• Strong expertise in traditional machine learning techniques (supervised/unsupervised), statistics, and hypothesis testing.
• 8+ years of experience applying machine learning and AI to real-world problems, with a focus on NLP and LLMs.
• Proficiency with Python, SQL, and popular data science libraries such as pandas, NumPy, scikit-learn, and PyTorch.
• Proven experience with generative AI and NLP methods, including prompt engineering, embeddings/vector databases, retrieval-augmented generation (RAG), LLM evaluation, and fine-tuning techniques.
• Strong track record in deploying AI models to production and conducting rigorous model performance evaluations. Hands-on experience fine-tuning closed and open-source models and integrating them into production systems.
• Strong understanding of model deployment pipelines and experience maintaining AI models in a production environment.
• Ability to communicate effectively with both technical and clinical teams, translating complex AI concepts into actionable insights and performant models.

Nice-to-have

• Healthcare domain experience, especially in clinical workflows and regulated environments.
• Computer vision experience or experience developing multimodal models that combine text, imaging, and structured clinical data.
• Experience building or fine-tuning LLMs from scratch, with a focus on healthcare data.
• Strong engineering background with the ability to set up, maintain, and optimize AI infrastructure (open and closed source).
• Contributions to open-source AI frameworks or libraries.

Why Join Us?

• Make a Real Impact: Your work will directly affect patient outcomes and improve clinical workflows for healthcare providers.
• Work with Cutting-Edge AI: You'll be at the forefront of applying AI innovations in a high-stakes domain.
• Collaborate with Top Talent: Join a multidisciplinary team of AI experts, engineers, and clinicians.
• Opportunity to Grow: We’re a startup—there’s room for you to grow and lead as we continue to scale.
• Stock Options
• Unlimited PTO
• Life insurance
• Maternity and Paternity Leave
• 401K matching
• Sponsorship for conferences, continuing education, etc.
• Dynamic engineering role—technological innovation is at the core of our business.
• Growth and learning opportunities from a startup environment, including collaboration with an international team of scientists, engineers, platform architects, programmers, and professionals.
• Do something morally benevolent.

Salary and location

The annual US base salary range for this full-time position is $175,000 - $215,000 plus equity and benefits. Pay scale is flexible depending on experience. Individual pay within the range is determined by location and other factors, including job-related skills, competencies, experience, and training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Industries

• Software Development