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Inari Medical

Lead Analyst, Clinical Data Sciences (Remote)

Reposted Yesterday
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In-Office or Remote
Hiring Remotely in Portage, MI
96K-207K Annually
Mid level
In-Office or Remote
Hiring Remotely in Portage, MI
96K-207K Annually
Mid level
Leads clinical evidence workflows, systematic reviews, data extraction, quality control, evidence synthesis, and analytical reporting. Translates clinical, regulatory, reimbursement, and business questions into actionable insights, supports clinical evaluations and regulatory submissions, identifies evidence gaps, and partners with cross-functional stakeholders and technical teams to scale evidence-management processes and automation.
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Work Flexibility: Remote or Hybrid or Onsite

Stryker is hiring a Lead Analyst, Clinical Data Sciences for our Instruments division. This is a U.S.-based remote position, with preference for candidates located in the Eastern or Central time zones.

 

Join Stryker Instruments in a role that sits at the intersection of clinical evidence, analytics, and business strategy. This position serves as a key connector between clinical questions and data-driven insights, helping stakeholders across Medical Affairs, Clinical Research, Regulatory Affairs, Reimbursement, Market Access, and commercial teams make informed decisions based on high-quality evidence. As part of a growing Clinical Data Sciences function, you will help establish scalable evidence-management capabilities while shaping how clinical evidence is evaluated and leveraged across the organization.

 

This role combines evidence strategy, evidence management, and insight generation, partnering closely with technical experts who build data products and automation solutions. The position offers broad exposure across Stryker Instruments' portfolio and supports initiatives that influence product, regulatory, clinical, and investment decisions.

 

What You Will Do

  • Lead implementation and management of evidence workflows, including systematic review processes, data extraction, quality control, reporting, and evidence repositories.

  • Build and scale evidence-management processes across multiple business units, transforming clinical and regulatory requirements into standardized, repeatable workflows.

  • Translate clinical, regulatory, reimbursement, and business questions into structured analyses and evidence-based recommendations.

  • Generate and interpret insights from clinical literature, real-world evidence, registries, claims data, and other scientific sources.

  • Partner with Medical Affairs, Clinical Research, Regulatory Affairs, Market Access, and business stakeholders to prioritize evidence needs and communicate findings.

  • Support clinical evaluation reports, post-market clinical follow-up activities, publications, scientific communications, and regulatory submissions through evidence synthesis and analytical support.

  • Evaluate clinical evidence across product portfolios, identify evidence gaps, and support prioritization of future evidence-generation investments.

  • Drive continuous improvement by partnering with technical teams to automate evidence workflows, enhance data solutions, and expand adoption of evidence-management tools.

What You Need

 

Required

  • Bachelor’s degree in Life Sciences, Biomedical Engineering, Epidemiology, Health Economics and Outcomes Research (HEOR), Public Health, Data Science, or a related field.
  • Minimum 4 years of experience in clinical evidence, medical affairs analytics, HEOR, epidemiology, clinical research, or data science with clinical application.
  • Experience translating clinical, scientific, regulatory, or business questions into structured analyses and actionable insights.
  • Experience conducting clinical literature reviews, evidence synthesis, systematic reviews, or evidence-management activities.
  • Experience presenting analytical findings and evidence-based recommendations to non-technical stakeholders.

Preferred

  • Advanced degree (MS, MPH, PhD, or equivalent) in Life Sciences, Engineering, Epidemiology, Biostatistics, Public Health, Data Science, or related field.
  • Hands-on experience with DistillerSR, ReadCube, or similar evidence-management platforms.
  • Familiarity with medical device regulatory requirements, including FDA submissions, European Union Medical Device Regulation (EU MDR), Clinical Evaluation Reports (CERs), and Post-Market Clinical Follow-Up (PMCF) activities.
  • Experience with analytics and visualization tools such as Power BI, Tableau, R, Python, or SQL.
  • Experience working with real-world data sources, healthcare claims, registries, or observational datasets.

  


United States of America Pay Ranges:

  • USN: $95,700 - $159,500 USD Annual
  • US5: $100,500 - $167,500 USD Annual
  • US10: $105,300 - $175,500 USD Annual
  • US15: $110,100 - $183,400 USD Annual
  • US20: $114,800 - $191,400 USD Annual
  • US30: $124,400 - $207,400 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.

  


Travel Percentage: 10%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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