Remote Medical/Clinical Scientist – Bladder Late-Phase

Syneos Health/ inVentiv Health Commercial LLC; Wisconsin; A distancia; USD 68.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Company car or car allowance

Health benefits (Medical, Dental and V

Company match 401k

Employee Stock Purchase Plan

Bonuses/commissions based on company/

Paid time off (PTO) and sick time

Descripción de la vacante

Syneos Health seeks a Medical/Clinical Scientist - ONC - Bladder Late Phase (sponsor-dedicated/Remote) to support medical plans and data reviews. You will collaborate with Medical Directors and external experts to gather medical input and ensure data readiness for decision-making.

Responsibilities include regular ad-hoc data reviews, preparing medical review summaries, and coordinating safety and data integrity across study teams while complying with ICH and GCP standards.

Formación

• Experience in medical data review and data visualization.
• Ability to identify risks from data patterns.
• Familiarity with data privacy guidelines, ICH and GCP.

Responsabilidades

• Develop medical plans with Medical Director and coordinate input from experts.
• Perform regular and ad-hoc medical data reviews and analyze data for risks.
• Authors medical data queries and reviews query responses; assist in patient profiles review.
• Collaborate with Medical Directors for data review and safety meetings; lead meetings as appropriate.
• Manage project scope, milestones and liaise with customers and vendors on data review.
• Adhere to ICH, GCPs and data privacy guidelines; support audits as needed.

Descripción del empleo

Syneos Health seeks a Medical/Clinical Scientist - ONC - Bladder Late Phase (sponsor-dedicated/Remote) to support medical plans and data reviews. You will collaborate with Medical Directors and external experts to gather medical input and ensure data readiness for decision-making.

Responsibilities include regular ad-hoc data reviews, preparing medical review summaries, and coordinating safety and data integrity across study teams while complying with ICH and GCP standards.