Commence · 20 hours ago
Data Scientist
United States
Full-time
Remote
Mid, Senior Level
$115K/yr - $150K/yr
4+ years expCommence is a company focused on data-centric transformation in healthcare, aiming to elevate health outcomes through efficient processes. The Data Scientist role involves combining advanced analytics and machine learning with domain knowledge to generate insights and support decision-making across the healthcare ecosystem.
AnalyticsArtificial Intelligence (AI)Clinical TrialsCloud ComputingHealth CareSoftware
Responsibilities
Prepare and analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions
Develop, implement, and optimize machine learning models, including Generative AI, for predictive analytics, classification, and other applications
Apply statistical techniques to analyze data and build models that forecast future trends and behaviors (e.g., risk stratification, disease progression, readmission likelihood)
Create compelling data visualizations and dashboards to effectively communicate findings and insights to stakeholders
Connect and match within and across data sources both internal/ external to augment and enhance analyses
Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to gather requirements and deliver data solutions
Stay current with industry trends and advancements in data science and integrate new techniques and tools into existing workflows. Identify, review, and execute impactful analytical approaches from industry whitepapers
Translate complex data into actionable insights to support clinical decision-making, care optimization, and operational efficiency, often through dashboards or reports
Collaborate with clinicians, informaticists, and SMEs to derive relevant features from health data, such as comorbidity indices, lab value trajectories, or time-to-treatment measures
Ensure data use complies with HIPAA, 42 CFR Part 2, and other applicable regulations. Apply de-identification, data masking, or differential privacy techniques when needed
Help define and sometimes implement workflows for data acquisition, preprocessing, and model inference pipelines, often in cloud-based environments (e.g., AWS, Azure)
Identify and mitigate potential biases in data or models, and ensure outputs are interpretable by clinical or policy stakeholders
Monitor model performance over time and retrain or recalibrate as necessary to maintain accuracy and relevance in evolving clinical environments
Qualification
Required
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master's or PhD preferred
Minimum of 4 years of experience in data science or a related field
Proficiency in programming languages such as Python, R, or SQL
Demonstrated experience practically leveraging and deploying AI/ML models to production
Working knowledge of Generative AI tuning and implementation techniques and toolsets i.e. AWS Bedrock, LangChain, Anthropic MCP, and LlamaIndex
Experience with big data frameworks/ toolsets such as Apache Spark, Databricks, and AWS EMR Studio
Experience with AI/ machine learning libraries and frameworks (e.g., TensorFlow, Scikit-Learn, PyTorch, and Spark ML Flow)
Experience working with healthcare datasets such as EHRs, medical claims, FHIR, HL7, or patient-reported outcomes
Familiarity with healthcare regulations and standards (e.g., HIPAA, 42 CFR Part 2, HEDIS, CMS measures)
Demonstrated experience working with Notebook tools such as Databricks/ Jupyter
Strong understanding of statistical analysis and modeling techniques
Experience with data visualization tools (e.g., Amazon Quicksight, Power BI, Matplotlib)
Excellent problem-solving skills and attention to detail
Strong communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders
Preferred
AI/ ML certifications
Familiarity with Databricks, Snowflake, or other modern data platforms
Understanding of data governance and security frameworks relevant to healthcare (e.g., NIST, HITRUST)
Prior experience working with government agencies (e.g., CMS, VA, DoD) or payer/provider organizations
Knowledge of healthcare delivery systems and policy frameworks
Company
Commence
Commence delivers AI-driven healthcare data platform and clinical expertise that supports analytics, decisions, and workflow improvement.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase