Clinical Data Scientist Healthcare AI – New York, NY

Are you an innovative data scientist passionate about transforming healthcare through artificial intelligence? We are seeking a skilled Clinical Data Scientist to join a cutting-edge Healthcare AI team in New York, NY. This is an exciting opportunity to leverage advanced analytics and machine learning to improve patient outcomes and drive breakthroughs in medical technology. If you excel in combining clinical expertise with data science, this role offers the chance to be at the forefront of healthcare innovation.

Drive AI-Enabled Healthcare Solutions in New York

Join a leading Healthcare AI organization based in New York, NY that is dedicated to revolutionizing clinical decision-making and patient care. The ideal candidate will bring deep knowledge of clinical data, strong analytical skills, and experience working with large, complex healthcare datasets. If you have a passion for applying AI and machine learning to solve real-world healthcare challenges, this position empowers you to make a measurable difference in the health industry.

Key Responsibilities of the Clinical Data Scientist – Healthcare AI

Clinical Data Analysis & Modeling: Analyze complex clinical datasets to extract actionable insights and build predictive models. Develop and validate machine learning algorithms that enhance diagnostic accuracy, treatment recommendations, and patient outcome predictions.

AI Solution Development: Collaborate with cross-functional teams including clinicians, engineers, and product managers to design and implement AI-driven healthcare solutions. Translate clinical challenges into data science problems and develop scalable models that integrate seamlessly into clinical workflows.

Data Quality & Governance: Ensure high standards of data integrity, quality, and compliance with healthcare regulations such as HIPAA. Manage preprocessing, cleaning, and transformation of clinical data from diverse sources, including EHRs, imaging, and genomics.

Clinical Research & Validation: Support clinical trials and research studies by providing statistical analysis, data interpretation, and AI model validation. Work closely with clinical experts to evaluate model performance and relevance in real-world healthcare settings.

Insight Communication & Reporting: Translate complex data findings into clear, actionable reports and presentations for clinical, technical, and executive stakeholders. Drive data-driven decision making to inform product development and strategic initiatives.

Collaboration & Innovation: Engage with healthcare professionals, data engineers, and AI researchers to foster innovation in healthcare AI. Stay current with advances in medical research, AI technologies, and regulatory guidelines to continuously improve models and methodologies.

Regulatory & Ethical Compliance: Adhere to regulatory standards and ethical considerations in handling patient data and deploying AI models. Ensure all AI applications comply with relevant healthcare laws and guidelines, maintaining patient privacy and data security.

What the Client is Looking for in You

As a Clinical Data Scientist specializing in Healthcare AI, the client seeks a highly skilled and innovative professional who combines deep clinical knowledge with advanced data science expertise. You should be passionate about applying AI technologies to solve complex healthcare problems and improving patient outcomes through data-driven insights.

Expertise in Clinical Data and AI Technologies

The client is looking for someone with strong experience working with clinical datasets, including electronic health records (EHRs), medical imaging, genomics, or other healthcare data sources. You should have a proven ability to develop, validate, and deploy machine learning models and AI algorithms within healthcare environments, ensuring clinical relevance and accuracy.

Strong Analytical and Problem-Solving Skills

You must excel at analyzing large, complex datasets and extracting meaningful insights that can guide clinical decisions and product innovation. The ideal candidate is comfortable with statistical analysis, predictive modeling, and advanced machine learning techniques, as well as interpreting results for clinical stakeholders.

Collaboration with Multidisciplinary Teams

The client values professionals who work effectively in cross-functional teams including clinicians, engineers, data engineers, and regulatory experts. You should be able to translate clinical challenges into data science problems and communicate findings clearly to both technical and non-technical audiences.

Commitment to Data Quality, Ethics, and Compliance

Given the sensitive nature of healthcare data, the client requires a candidate who prioritizes data integrity, privacy, and regulatory compliance (e.g., HIPAA). You should be knowledgeable about ethical AI practices and committed to ensuring that AI applications uphold patient safety and confidentiality.

Innovative Mindset and Continuous Learning

Healthcare AI is a rapidly evolving field, so the client looks for someone who stays abreast of the latest advances in machine learning, AI, and medical research. You should be eager to incorporate new methods and tools to continuously enhance model performance and clinical impact.

Strong Communication and Reporting Abilities

You will need to clearly articulate complex analytical results through reports, visualizations, and presentations that inform strategic decisions. The client values a candidate who can bridge the gap between data science and clinical practice by making insights accessible and actionable.

FAQs About the Role – Clinical Data Scientist Healthcare AI

What are the key responsibilities of the Clinical Data Scientist in this role?

As a Clinical Data Scientist, you will analyze complex clinical datasets to develop and validate AI-driven models that improve healthcare outcomes. You will collaborate with multidisciplinary teams to translate clinical needs into data science solutions, ensure data quality and compliance, support clinical research, and communicate insights to stakeholders to inform product development and clinical decision-making.

What qualifications and experience are required for this position?

The ideal candidate will have a strong background in clinical data science, bioinformatics, or a related field, with experience in machine learning, AI model development, and working with healthcare data such as EHRs or medical imaging. Advanced degrees (Master’s or PhD) in data science, biostatistics, computer science, or healthcare disciplines are preferred. Experience with healthcare regulations and data privacy standards (e.g., HIPAA) is highly valued.

What technical skills are essential for this role?

Proficiency in programming languages such as Python or R, expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with data preprocessing, statistical analysis, and predictive modeling are essential. Familiarity with healthcare databases, clinical terminologies, and data integration techniques will be critical to success.

What challenges can I expect in this role?

You will face challenges related to managing heterogeneous and often incomplete clinical data, ensuring model accuracy and clinical relevance, and navigating regulatory requirements. Balancing innovation with patient safety and ethical considerations while collaborating across diverse teams will also be key aspects of the role.

What impact will the Clinical Data Scientist have on the organization?

Your work will directly influence the development of AI solutions that enhance diagnostic precision, optimize treatment pathways, and improve patient outcomes. By transforming clinical data into actionable insights, you will help drive the organization’s mission to revolutionize healthcare delivery through AI.

What is the work environment and culture like?

The organization fosters a collaborative and innovative environment where data scientists, clinicians, and engineers work closely together. You will be encouraged to stay at the forefront of AI and medical research, contribute ideas, and engage in continuous learning to advance healthcare technologies.

What Remuneration Can You Expect from This Job?

As a Clinical Data Scientist specializing in Healthcare AI in New York, NY, you can expect a competitive and comprehensive compensation package designed to attract top talent at the intersection of clinical expertise and data science. The remuneration for this role typically includes:

1. Base Salary

The base salary for Clinical Data Scientists in the healthcare AI field generally varies based on experience, education level, and company size. In a leading healthcare AI company in New York, the annual base salary typically ranges from $110,000 to $180,000, with senior-level candidates or those with specialized skills commanding higher salaries.

2. Performance-Based Bonuses

Many organizations offer performance bonuses tied to individual and team achievements, including project milestones, model performance, and overall impact on healthcare outcomes. These bonuses can range from 10% to 25% of the base salary, rewarding contributions that directly support company goals and innovation.

3. Equity & Stock Options

Healthcare AI companies, especially startups and tech-driven firms, often provide equity incentives such as stock options or restricted stock units (RSUs). These align your financial rewards with the company’s long-term success and growth potential, sometimes constituting a significant portion of your total compensation.

4. Benefits & Professional Development

The compensation package typically includes comprehensive health benefits (medical, dental, vision), retirement plans like 401(k) with company matching, paid time off, and wellness programs. Many employers also invest in continuous learning, offering stipends or reimbursement for conferences, certifications, and advanced training relevant to AI and healthcare.

5. Signing Bonuses & Relocation Assistance

For highly qualified candidates, companies may provide signing bonuses or relocation support to ease the transition to New York. These one-time incentives can range from $5,000 to $20,000, depending on the organization and candidate profile.

Total Compensation Potential

Considering base salary, bonuses, equity, and benefits, total annual compensation for a Clinical Data Scientist in Healthcare AI can range from approximately $130,000 to over $220,000. High-impact roles in well-funded startups or established firms may offer even greater earning potential, alongside opportunities for career advancement and leadership.

How to Apply

If you are a passionate and skilled Clinical Data Scientist eager to leverage AI to transform healthcare, we invite you to apply for the Clinical Data Scientist – Healthcare AI position based in New York, NY. This is a unique opportunity to contribute to innovative AI-driven solutions that improve patient outcomes and revolutionize clinical decision-making.

To apply, please submit your resume along with a cover letter highlighting your experience in clinical data analysis, machine learning model development, healthcare AI applications, and your familiarity with clinical datasets such as EHRs or medical imaging. Be sure to emphasize your ability to collaborate with multidisciplinary teams, ensure data quality and compliance, and drive impactful healthcare innovations.

This role offers a high-impact career path where you will be at the forefront of healthcare technology, applying cutting-edge AI methods to solve real-world clinical challenges. Apply today to join a forward-thinking team dedicated to shaping the future of healthcare through data science and artificial intelligence!

For more information or to explore similar opportunities, visit our Healthcare AI Recruiting page.

Job Category: Healthcare AI

Job Type: Full Time

Job Location: New York

Clinical Data Scientist Healthcare AI – New York, NY