Remote Ophthalmology Clinical Scientist — Data Review

Syneos Health, Inc.

Illinois

Hybrid

USD 95,000 - 135,000

Full time

14 days+
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Benefits offered by this job

Company car or car allowance
Health benefits to include Medical,  D
Dental and Vision
Company match 401k
Employee Stock Purchase Plan
Commissions/bonus based on performance
Flexible paid time off (PTO) and sick

Job summary

Syneos Health, Inc. is seeking a Clinical Scientist specialized in Ophthalmology to support clinical development activities in a remote/Illinois-based setting.

You will collaborate with Medical Directors to craft medical plans and perform data reviews, ensuring scientific integrity and patient safety throughout trials. Responsibilities include data analysis, query management, and preparation of review materials for meetings, with opportunities to engage across study teams and audits.

Responsibilities

  • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan).
  • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews.
  • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director.
  • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed.
  • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed.

Job description

Syneos Health, Inc. is seeking a Clinical Scientist specialized in Ophthalmology to support clinical development activities in a remote/Illinois-based setting.

You will collaborate with Medical Directors to craft medical plans and perform data reviews, ensuring scientific integrity and patient safety throughout trials. Responsibilities include data analysis, query management, and preparation of review materials for meetings, with opportunities to engage across study teams and audits.

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