The Data Scientist II will develop clinically grounded, interpretable AI and analytics solutions that support commercial, medical affairs, clinical research, and enterprise decision-making. The role will translate integrated structured and unstructured data into reliable insights, actionable recommendations, and reusable analytical products.

This role combines applied data science, statistical modeling, machine learning, generative AI, and research collaboration. The Data Scientist II will own defined workstreams from problem framing and research design through modeling, validation, documentation, deployment support, and stakeholder communication. Success requires strong quantitative judgment, reproducible development practices, and the ability to communicate methods, limitations, and recommendations clearly to technical, scientific, clinical, and business stakeholders.

Responsibilities
• Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
• Advance literature intelligence workflows, including search, retrieval, synthesis, evaluation, and validation of AI-generated outputs.
• Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
• Build reproducible workflows and reusable components that can progress from research prototypes to reliable applications and decision-support tools.
• Lead analytics research proposals and collaborations, including cohort definition, analysis planning, modeling, interpretation, and communication of results.
• Partner with clinicians, scientists, medical affairs, research teams, and business stakeholders to translate questions into rigorous analytical plans and defensible results.
• Support abstracts, presentations, and research reports while applying appropriate privacy, security, validation, and documentation practices.
• Contribute to and provide backup support for forecasting, Promotion Effectiveness, and Digital Product Impact initiatives.
• Perform exploratory analysis, feature engineering, model development and evaluation, sensitivity testing, and scenario analysis using Python or R and SQL.
• Collaborate with data and application engineers on pipelines, version control, testing, deployment readiness, monitoring, and maintenance; clearly document data lineage, assumptions, limitations, and recommendations.

Qualifications
• Bachelor of Science (BS) or Master of Science (MS) degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field.
• 5+ years of experience in data science, machine learning, advanced analytics, AI engineering, or a related role, including 3+ years in healthcare, diagnostics, biotechnology, clinical research, life sciences, or another regulated environment.
• Strong hands-on proficiency in Python or R, SQL, and Git-based development workflows.
• Experience developing and validating predictive, descriptive, statistical, or machine learning models using real-world clinical, EHR, laboratory, research, or other complex longitudinal data.
• Ability to produce audit-ready documentation covering data lineage, methods, assumptions, testing, validation, and model limitations.
• Strong written and verbal communication skills and the ability to collaborate across technical, scientific, clinical, and business teams.

Preferred Qualifications
• Experience with AI-enabled search, natural language processing, literature intelligence, retrieval-augmented generation, or document synthesis.
• Experience moving analytical prototypes into user-facing or production workflows, including testing, monitoring, and ongoing support.
• Familiarity with Databricks, cloud data platforms, model lifecycle management, and modern analytics application frameworks.
• Experience contributing to clinical research deliverables such as protocols, abstracts, presentations, manuscripts, or analytical reports.

How We Work

• Curiosity: Start with Why
  • We understand why a project matters, what problem we are solving, whom it helps, and what success looks like. We ask thoughtful questions, align early, and move forward with confidence.
• Accountability: Extreme Ownership
  • We take responsibility for what we build and deliver. We communicate risks early, follow through on commitments, and help resolve problems rather than waiting for detailed direction.
• Transparency: Default to Share
  • We proactively share context, decisions, progress, and lessons learned. We document and demonstrate our work so others can build on it.
• Empowerment: Amplify Others
  • We succeed as a team. We collaborate openly, recognize the contributions of others, and give credit generously.
• Resilience: Learn Loudly
  • We treat mistakes and unexpected outcomes as opportunities to improve. We focus on solutions, identify root causes, and share what we learn.

Additional Details:

Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients.

Our competitive Total Rewards package for US Employees includes:

• Competitive base salary and incentive compensation
• Health and welfare benefits, including a gym reimbursement program
• 401(k) savings plan match
• Employee Stock Purchase Plan
• Pre-tax commuter benefits
• And more!
• Please refer to our page to view detailed benefits at https://caredx.com/company/careers

In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow.

This is the anticipated base salary range in the United States. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, the type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units. CareDx is a multi-state employer, and this salary range may not reflect positions that work in other states.

Remote: US only roles

$108,000-$135,000 USD