AI Healthcare Data Scientist – Boston, MA

Are you a data-driven innovator passionate about transforming healthcare through artificial intelligence? We are seeking an AI Healthcare Data Scientist to join a cutting-edge medical technology team in Boston, MA. This is a unique opportunity to harness AI and machine learning to improve patient outcomes, optimize healthcare operations, and drive breakthroughs in medical research. If you’re excited about applying advanced analytics in a high-impact environment, this role is for you.

Shape the Future of Healthcare with AI Innovation

A leading healthcare technology organization in Boston, MA is on the lookout for an AI Healthcare Data Scientist to lead data-centric initiatives that empower clinical decisions and enhance healthcare delivery. The ideal candidate will have expertise in machine learning, healthcare data systems (EMR/EHR), and statistical modeling, along with a passion for solving complex healthcare challenges. If you’re ready to turn data into life-saving insights, this is your opportunity to make a meaningful difference.

Key Responsibilities of the AI Healthcare Data Scientist – Boston, MA

AI-Driven Healthcare Innovation:
Design and develop advanced machine learning models to analyze complex healthcare data sets, including EHRs, medical imaging, genomics, and patient outcomes. Drive AI initiatives that contribute to early diagnosis, personalized medicine, and improved treatment plans.

Data Engineering & Infrastructure:
Collaborate with data engineers to build scalable data pipelines and robust architectures for real-time and batch data processing. Ensure data quality, integrity, and accessibility to support analytics and AI workflows across clinical and operational domains.

Clinical Decision Support:
Create predictive and prescriptive models that assist healthcare providers in making data-driven decisions. Leverage AI to enhance clinical decision support systems (CDSS), reduce diagnostic errors, and increase treatment accuracy.

Healthcare Domain Expertise:
Integrate domain knowledge with technical expertise to ensure models are clinically relevant, ethically sound, and compliant with healthcare regulations such as HIPAA. Work closely with clinicians, researchers, and regulatory teams to validate and interpret results.

Research & Development:
Conduct cutting-edge research in AI and data science within the healthcare context. Publish findings, present at industry conferences, and contribute to the broader scientific and medical AI community.

Cross-Functional Collaboration:
Work collaboratively with product managers, software engineers, data analysts, and healthcare professionals to align AI solutions with strategic goals. Participate in agile development cycles to iterate and deploy models in production environments.

Model Validation & Monitoring:
Ensure the performance, fairness, and safety of deployed models through rigorous testing, validation, and monitoring. Implement techniques to prevent bias and ensure that AI models are explainable and transparent.

Regulatory Compliance & Ethics:
Adhere to data privacy laws and ethical guidelines in all AI and data science work. Develop models with a strong emphasis on fairness, accountability, and patient-centric care.

Performance Optimization:
Continuously improve the accuracy, efficiency, and scalability of models. Stay up to date with the latest tools, libraries, and techniques in AI and healthcare analytics.

Impact Measurement & Reporting:
Measure the clinical and operational impact of AI solutions using key performance indicators (KPIs). Provide clear, actionable insights to stakeholders through dashboards, reports, and data visualizations.

What the Client is Looking for in You

As an AI Healthcare Data Scientist – Boston, MA, the client is seeking a technically skilled, innovative, and healthcare-savvy professional who can bridge the gap between data science and medical outcomes. You should be a problem solver with a strong foundation in AI/ML and a passion for advancing patient care through technology. If you thrive in cross-functional teams and enjoy building data-driven healthcare solutions, you’re exactly who we’re looking for.

Expertise in AI and Machine Learning for Healthcare
The client is looking for a data scientist with deep knowledge in machine learning algorithms, natural language processing (NLP), and predictive modeling. You should have experience applying these techniques to healthcare datasets such as electronic health records (EHR), clinical trials, or medical imaging. Proficiency in Python, R, TensorFlow, PyTorch, or similar tools is essential.

Strong Understanding of Healthcare Data Ecosystems
Familiarity with healthcare data standards (HL7, FHIR, ICD codes) and systems (EHR, PACS, LIS) is highly desirable. You should be able to work with structured and unstructured medical data, understand clinical workflows, and identify ways to support providers and patients through smart AI integration.

Analytical Thinker with a Research-Driven Approach
The ideal candidate is curious and research-oriented, capable of formulating hypotheses, validating models, and drawing actionable insights. The client values professionals who can publish or present their work, contribute to medical AI research, and stay ahead of AI trends in healthcare.

Effective Communicator & Collaborator
You should be comfortable working with cross-functional teams that include clinicians, engineers, product managers, and business stakeholders. The ability to communicate complex technical concepts in a clear, actionable manner is key to success in this role.

Ethical and Regulatory Awareness
The client values candidates with a strong understanding of HIPAA, data privacy laws, and AI ethics. You should be committed to building fair, transparent, and accountable models that uphold patient trust and comply with regulatory standards.

Results-Oriented Mindset with Clinical Impact
Above all, the client seeks someone motivated by real-world healthcare impact. You should be passionate about building AI tools that enhance diagnostics, treatment, and operational efficiency, ultimately improving lives and outcomes across healthcare systems.

FAQs About the Role – AI Healthcare Data Scientist – Boston, MA

1. What are the key responsibilities of the AI Healthcare Data Scientist?
In this role, you will be responsible for designing, developing, and implementing machine learning models to solve complex healthcare problems. Your work will involve analyzing clinical and biomedical data, collaborating with interdisciplinary teams, enhancing patient outcomes through AI-driven insights, and contributing to the development of innovative healthcare solutions. You will also ensure that all models comply with regulatory standards and ethical guidelines.

2. What qualifications and experience are required for this position?
The ideal candidate should have a strong academic background in Computer Science, Data Science, Biomedical Engineering, or a related field, with a focus on machine learning or artificial intelligence. Experience working with healthcare data (EHR, medical imaging, claims data, etc.) is highly preferred. Proficiency in Python, R, or similar languages, along with frameworks like TensorFlow or PyTorch, is essential. A master’s degree or PhD is preferred.

3. What technical skills are most important for this role?
The client is looking for candidates skilled in machine learning, deep learning, and data analytics. Familiarity with healthcare-specific data formats (like HL7, FHIR) and experience handling large, sensitive datasets is highly valued. A solid understanding of statistics, model validation, and interpretability methods is also key for success in this position.

4. What challenges can I expect in this role?
You may encounter challenges such as incomplete or unstructured healthcare data, strict data privacy regulations (e.g., HIPAA compliance), and the complexity of translating clinical needs into algorithmic solutions. Collaborating across diverse teams, including clinicians and engineers, and keeping up with the rapid pace of AI innovation in healthcare will also be part of the role’s dynamic nature.

5. How will this role impact healthcare delivery and patient outcomes?
Your work will directly contribute to the development of AI solutions that improve diagnosis, treatment planning, patient monitoring, and healthcare operations. The models and tools you create will help providers make data-driven decisions, enhance care delivery, and lead to more personalized and efficient patient care.

6. What is the team and work culture like?
The team is interdisciplinary, combining data scientists, clinicians, software engineers, and healthcare professionals who are passionate about improving health outcomes through technology. The environment is collaborative, research-driven, and fast-paced, offering opportunities for innovation, continuous learning, and making a real-world impact in healthcare.

What Remuneration Can You Expect from This Job?

As an AI Healthcare Data Scientist in Boston, MA, you can expect a highly competitive compensation package that reflects the specialized skill set, industry demand, and impact of your work in the healthcare and AI sectors. The remuneration typically includes:

1. Base Salary
The average annual base salary for an AI Healthcare Data Scientist in a major metro like Boston typically ranges from $120,000 to $180,000, depending on your experience, technical expertise, academic background, and the size and maturity of the organization.

2. Performance-Based Bonuses
Many companies offer annual bonuses tied to individual performance and company milestones, including successful model deployments, healthcare outcomes improvements, or cost-saving initiatives. Bonuses usually range between 10% to 25% of the base salary.

3. Equity & Stock Options
If you’re joining a startup or a tech-forward healthcare company, equity packages such as stock options or RSUs may be included, allowing you to share in the company’s long-term success. These can represent a substantial portion of overall compensation in growth-focused companies.

4. Health & Wellness Benefits
Comprehensive benefits are standard and typically include:

Medical, dental, and vision insurance
Mental health and wellness programs
Health Savings Accounts (HSA) or Flexible Spending Accounts (FSA)
Life and disability insurance

5. Retirement & Financial Benefits
You can expect access to competitive financial planning options, including:

401(k) plans with employer match
Stock purchase plans (in some public companies)
Professional development stipends or reimbursement for continuing education

6. Flexible Work & Lifestyle Perks
Companies increasingly offer lifestyle and flexibility benefits such as:

Hybrid or remote work options
Flexible working hours
Paid time off (PTO) including vacation, personal, and sick days
Parental leave policies
Commuter benefits or relocation assistance (if applicable)

Total Compensation Potential

When factoring in base pay, bonuses, and equity, total annual compensation for this role can range from $140,000 to $250,000+, depending on your level of experience, the company’s funding stage, and your contribution to its success.

How to Apply

If you’re a data-driven problem solver with a passion for transforming healthcare through artificial intelligence, we invite you to apply for the AI Healthcare Data Scientist role in Boston, MA. This is an exciting opportunity to work on cutting-edge AI solutions that improve patient outcomes, optimize clinical operations, and shape the future of healthcare delivery.

To apply, please submit your updated resume and a cover letter highlighting your experience in:

AI/ML model development in healthcare or life sciences
Working with clinical datasets, EHRs, or biomedical data
Deploying predictive analytics and machine learning algorithms
Collaborating in cross-functional teams, including clinicians and engineers
Demonstrating measurable impact on patient care or operational efficiency

This role offers a high-impact career path where your work will directly contribute to advancements in patient care and healthcare innovation. Apply today and bring your AI expertise to one of the most impactful industries in the world.

For more information or to explore similar opportunities, visit our AI & Healthcare Data Science Careers Page.

Tags:

Job Category: Medical Device

Job Type: Full Time

Job Location: Boston

AI Healthcare Data Scientist – Boston, MA