Data Scientist, Patient Outcomes

About Dimer Health

Dimer Health is a pioneering digital health company dedicated to transforming transitional care through innovative technology and clinical excellence. Our mission is to improve patient outcomes by bridging critical gaps in care, especially during the vulnerable transition from hospital to home. Leveraging cutting-edge AI-driven solutions, we focus on understanding the complex drivers of health outcomes and developing targeted interventions that lead to measurable improvements. Our commitment to data science excellence enables us to analyze vast amounts of healthcare data, uncover insights, and support clinicians in delivering personalized, effective care. At Dimer Health, we strive to redefine the patient journey, making healthcare more seamless, efficient, and outcome-driven.

About The Role

We are seeking a highly skilled Data Scientist to join our team at Dimer Health. In this role, you will be instrumental in developing a comprehensive understanding of patient outcomes and identifying strategies to enhance them. Your primary responsibilities will include defining meaningful outcome metrics, designing and building predictive models, and extracting actionable insights from both structured and unstructured clinical data. The ideal candidate will not only focus on predicting health outcomes but will also delve into understanding their underlying causes. Collaborating closely with clinical leadership, product teams, and data infrastructure specialists, you will translate complex healthcare data into tangible improvements in patient care. This position offers an exciting opportunity to contribute to innovative healthcare solutions that have a real-world impact on patient lives.

Qualifications

• 3+ years of experience in data science, machine learning, or applied statistical analysis
• Proven experience in building predictive models using real-world healthcare data
• Proficiency in Python, including data analysis and machine learning libraries
• Strong SQL skills for exploring and extracting data from complex databases
• Experience applying modern NLP techniques, including large language models (LLMs), to unstructured text data
• Solid statistical reasoning and experience designing analytical approaches for observational data
• Ability to work independently in ambiguous problem spaces
• Effective collaboration skills with clinicians and domain experts

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• Experience working with healthcare or clinical data sets
• Preferred: Familiarity with Electronic Health Records (EHR), FHIR standards, or other healthcare data models
  
  

Responsibilities

• Develop and refine meaningful patient outcome metrics to evaluate and improve quality of care
• Design analytical approaches to measure and track outcomes across diverse patient populations
• Build machine learning models over structured and unstructured data to predict patient outcomes and identify key risk factors
• Translate analytical findings into actionable insights to inform clinical and operational decision-making
• Collaborate with clinicians to validate findings and co-develop strategies for outcome improvements
• Evaluate the impact of interventions and support evidence-based enhancements to patient care
• Generate novel insights from clinical data and contribute to peer-reviewed publications
• Participate in cross-functional teams to implement data-driven solutions that improve patient outcomes
  
  

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Benefits

• Flexible Paid Time Off to support work-life balance
• Health Reimbursement Arrangement (HRA) covering eligible medical, dental, and vision expenses
• Basic Life Insurance fully paid by Dimer Health
• Competitive annual salary range of $130,000 – $170,000, commensurate with experience
• Equity participation as part of Dimer’s long-term incentive program
• Opportunity to work in a dynamic, innovative healthcare environment
• Potential for fully remote work within the U.S. for exceptional candidates
  
  

Equal Opportunity

Dimer Health is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected status under applicable law. We value diversity and are dedicated to providing equal employment opportunities to all qualified candidates. All employment decisions are made based on merit, qualifications, and business needs. Candidates must reside and be authorized to work in the United States, excluding certain states as specified. We participate in the federal E-Verify program to confirm employment authorization.