Data Scientist - Evidence Generation

About Us

Would you like to be part of a fast-growing team that believes no one should have to succumb to viral-mediated cancers? Naveris, a commercial stage, precision oncology diagnostics company with facilities in Boston, MA and Durham, NC, is looking for a Data Scientist - Evidence Generation to help us advance our mission of developing and delivering novel diagnostics that transform cancer detection and improve patient outcomes.

Our flagship test, Nav Dx, is a breakthrough blood-based DNA test for HPV cancers, clinically proven and already trusted by thousands of physicians and institutions across the U.S.

We are seeking a rigorous and resourceful Data Scientist to drive clinical and translational research in the field of virally driven cancer diagnostics. This role manages data science operations for Naveris, including projects for the NAVigate-HPV clinical registry and other real-world evidence (RWE) development efforts. The person in this role will design and execute study protocols, develop research tools, and prepare and analyze datasets from medical records and other sources to support clinical research objectives.

The ideal candidate will have a strong background in clinical research methodologies, familiarity with oncology and/or molecular diagnostics, and excellent project management and stakeholder communication skills. Experience with RWE studies and multi-site research collaborations is preferred.

• Assist in the development of statistical analysis plans for clinical research projects, contributing to study design discussions and outcome assessment frameworks.
• Design and maintain data collection instruments, case report forms (CRFs), and other data gathering resources.
• Prepare data for analysis by conducting data checks, cleaning, extraction, and transfer; create data dictionaries, merge datasets, and create/recode variables to ensure data quality and readiness.
• Perform biostatistical analyses using standard methods, with support from senior staff on more complex approaches.
• Help establish and maintain systems for archiving analytic results and research information, following established best practices in data organization and retrieval.
• Apply data quality standards and assist with reporting tasks; flag and elevate data issues as they arise.
• Prepare analyses and result summaries in multiple formats - tables, graphics, written summaries - for internal and external audiences.
• Assist in executing project plans, tracking progress against milestones and communicating status to the team.

• Serve as a primary point of contact for external research collaborators contributing to studies, publications, and the real-world data registry (NAVigate-HPV).
• Lead the training and onboarding of new collaborators, including access to tools, templates, systems, and guidelines.

• Prepare scientific abstracts and manuscripts, including producing tables, figures, and draft written content.
• Manage the generation of publication and presentation materials. Gather input from internal authors, medical writers, and external collaborators for manuscript and abstract development.
• Coordinate with internal and external stakeholders to ensure awareness of publications.

• Serve as liaison between study sites, laboratory teams, regulatory affairs, and evidence generation functions.

• MS or PhD (preferred) in Biostatistics, Epidemiology, Health/Clinical Informatics, Computational Biology, or a related field.
• 3-5 years experience with real world data (RWD), clinical data, or healthcare analytics in an applied or academic setting.
• Experience working as part of multi-site or cross-institutional research collaborations required.
• Familiarity with observational study design or real world evidence methodology (coursework or applied experience). Applied proficiency in regression, survival analysis, non-parametric methods, and causal inference techniques.
• Exposure to electronic health records (EHR), claims data, or patient registry data in an academic or professional setting.
• Experience supporting health economics and outcomes research, health technology assessment, or regulatory evidence packages.
• Familiarity with GCP guidelines, 21 CFR Part 11, and HIPAA requirements as applied to clinical research.
• Demonstrated experience building and maintaining relational databases, data pipelines, and analysis-ready datasets.
• Demonstrated experience developing case report forms and other data collection tools. Electronic health record or medical record abstraction experience a plus.
• Technical capabilities:
  Python or R; SQL;
  Tableau;
  Excel;
  Statistical reporting.

• Familiarity with the publication process, authorship criteria, and collaborative research agreements.
• Excellent project management and stakeholder communication skills.
• Strong organizational and multitasking abilities with…