Senior Data Scientist (RWD Analytics)

Location: Chicago, United States

Salary: $130,000–$175,000 for Chicago; $140,000–$190,000 for New York City/San Francisco. The expected range is applicable if the role is performed from California and may vary for Colorado, Illinois, and New York.

Company

hirify.global develops a precision-medicine platform that connects real-world evidence to provide actionable insights for clinical treatment decisions.

What you will do

• Design, implement, and formally validate heuristic rules and algorithms for derived clinical concepts using pipeline data.
• Maintain and expand Python-based data-profiling pipelines and build comprehensive data-quality checks for schemas and valuesets.
• Design complex inclusion and exclusion funnels and execute large-scale longitudinal patient cohort pulls for real-world data initiatives and analysis requests.
• Collaborate with clinical subject-matter experts, data-labeling teams, ML engineers, and data scientists to define validation datasets, ground-truth standards, and clinical heuristic rules.
• Maintain documentation, configuration files, and metrics for data quality, profiling results, and clinical evaluations.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Clinical Informatics, or a related field.
• 4+ years of experience in data science, clinical data analytics, or machine learning, focused on real-world healthcare data.
• Proficiency in Python and highly advanced SQL, including experience with complex relational databases, clinical data models, and ETL pipelines.
• Strong command of evaluation strategies and statistical analysis for AI models, NLP outputs, or clinical heuristics.
• Experience with data-quality frameworks, automated checks such as YAML-based configurations, and data-profiling tools.
• Experience using data-visualization tools such as matplotlib, seaborn, Plotly, or Tableau.
• Strong problem-solving, attention to detail, and ability to independently manage complex data workflows and chunking operations.
• Strong communication skills for explaining complex technical and clinical concepts to technical and non-technical stakeholders.
• Experience working in a collaborative, cross-functional team environment.

Nice to have

• Deep familiarity with oncology data, including staging, biomarkers, radiotherapy, and lines of therapy.
• Familiarity with Electronic Health Record data structures.

Culture & Benefits

• Full-time employment with benefits that may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.
• Equal opportunity employment with consideration for qualified applicants with arrest or conviction records in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance and California Fair Chance Act.