ZipRecruiter

Log In

1

Medical Evidence Generation Jobs (NOW HIRING)

Naveris

Data Scientist - Evidence Generation

Waltham, MA · On-site

... Evidence Generation to help us advance our mission of developing and delivering novel diagnostics ... Gather input from internal authors, medical writers, and external collaborators for manuscript and ...

next page

Showing results 1-20

All JobsMedical Evidence Generation Jobs

Medical Evidence Generation information

See salary details

$28K

$45K

$58.5K

How much do medical evidence generation jobs pay per year?

As of Jul 2, 2026, the average yearly pay for medical evidence generation in the United States is $45,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $48,500.00 per year, depending on experience, location, and employer.

What is the difference between Medical Evidence Generation vs Medical Data Analysis?

AspectMedical Evidence GenerationMedical Data Analysis
CredentialsMedical degree, research trainingData science, statistics, healthcare background
Work EnvironmentClinical settings, research labsData centers, healthcare organizations
Industry UsageClinical research, regulatory submissionsData interpretation, reporting

Medical Evidence Generation focuses on creating robust clinical data to support medical decisions and regulatory approval, often involving clinical trials and research. Medical Data Analysis involves interpreting healthcare data to derive insights, improve patient outcomes, and inform decision-making. While both roles require understanding of healthcare data, Evidence Generation emphasizes producing new evidence, whereas Data Analysis centers on analyzing existing data.

What is medical evidence generation?

Medical evidence generation refers to the process of collecting, analyzing, and interpreting clinical and real-world data to support the safety, efficacy, and value of medical treatments or interventions. This involves conducting clinical trials, observational studies, and using sources like electronic health records or patient registries. The evidence generated is crucial for regulatory submissions, health technology assessments, and informing healthcare providers and payers. The ultimate goal is to ensure that healthcare decisions are based on robust and reliable data.

What are some typical challenges faced in a Medical Evidence Generation role, and how can candidates prepare for them?

Professionals in Medical Evidence Generation often encounter challenges such as managing complex datasets, aligning evidence strategies with regulatory requirements, and collaborating across multidisciplinary teams. To prepare, candidates should build strong analytical skills, stay up-to-date with evolving regulatory standards, and develop effective communication abilities for working with clinicians, statisticians, and regulatory affairs. Familiarity with project management and the ability to adapt to shifting priorities are also valuable for success in this dynamic environment.

What are the key skills and qualifications needed to thrive in Medical Evidence Generation, and why are they important?

To thrive in Medical Evidence Generation, you need a strong background in clinical research, data analysis, and scientific writing, typically supported by a degree in life sciences, pharmacy, or medicine. Familiarity with statistical software (such as SAS or R), evidence synthesis tools, and regulatory guidelines (like GCP or ICH) is often required. Excellent communication, project management, and critical thinking skills help you collaborate with cross-functional teams and effectively disseminate findings. These capabilities ensure the generation of credible, high-quality evidence that informs clinical decisions and regulatory submissions.
More about Medical Evidence Generation jobs
What cities are hiring for Medical Evidence Generation jobs? Cities with the most Medical Evidence Generation job openings:
What states have the most Medical Evidence Generation jobs? States with the most job openings for Medical Evidence Generation jobs include:
What job categories do people searching Medical Evidence Generation jobs look for? The top searched job categories for Medical Evidence Generation jobs are:
Medical Evidence Generation jobs near you
Data Scientist - Evidence Generation

Data Scientist - Evidence Generation

Naveris

Waltham, MA • On-site

Full-time

Posted 22 days ago

Job description

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, NavDx, 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.
Opportunity
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.
Job Responsibilities
Study Development and Analytics
  • 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 escalate 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.

Research Collaborator Coordination
  • 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.

Publication & Scientific Output
  • 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.

Stakeholder Communication & Project Management
  • Serve as liaison between study sites, laboratory teams, regulatory affairs, and evidence generation functions.

Requirements
  • 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, nonparametric 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

Preferred Skills
  • Familiarity with the publication process, authorship criteria, and collaborative research agreements.
  • Excellent project management and stakeholder communication skills.
  • Strong organizational and multitasking abilities with experience managing concurrent deadlines.
  • Experience facilitating data-sharing (DSA / DTA), material transfer, research, and limited data set use agreements is a positive.
  • Any contribution to peer-reviewed research, presentations, or scientific reports.
  • Interest in or exposure to regulatory affairs, health outcomes, or market access research.

Compliance Responsibilities
Health Insurance Portability and Accountability Act (HIPAA) is a federal law that describes the national standards to protect sensitive patient health information from being disclosed without the patient's consent or knowledge. All roles at Naveris require compliance with legal and regulatory requirements of HIPAA and acceptance and adherence to all policies and standards at Naveris. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete HIPAA training when joining the company.
Why Naveris?
In addition to our great team and advanced medical technology, we offer our employees competitive compensation, work/life balance, remote work opportunities, and more!
Naveris is an Equal Opportunity Employer
Naveris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We don't just accept differences - we celebrate and support them. We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Salary Range: $110,000 - $150,00

Apply