Scientific Affairs Analyst

Role overview

This opportunity is being shared on behalf of a partner employer, which will handle applications and all later hiring steps. The role is based in the United States and sits at the intersection of clinical laboratory science and clinical trial operations. It supports the scientific and operational work needed before a study is awarded, with a focus on protocol review, testing analysis, and proposal support.

In this position, you will evaluate clinical trial protocols to identify testing needs, confirm what laboratory capabilities are required, and help shape accurate responses for proposals and RFPs. You will also serve as a connection point between laboratory operations, research and development teams, sales, project stakeholders, and outside referral laboratories.

The job is centered on turning scientific and technical study requirements into workable laboratory processes for current and future clinical studies. Your work will directly affect study feasibility, pricing precision, and coordination across multiple internal and external partners. This is a highly collaborative, fast-moving, and detail-oriented environment where strong scientific reasoning and communication are important.

Key accountabilities

• Examine clinical trial protocols to pinpoint testing needs and assess whether laboratory capabilities are suitable for study support.
• Work with internal R&D, lab operations, and external referral labs to keep study setup and execution accurate and on schedule.
• Draft and review pricing and proposal materials, flagging any inconsistencies and maintaining scientific correctness.
• Act as a bridge between laboratory teams, sales, and project management for RFPs, RFIs, and ongoing study requirements.
• Maintain records of referral testing details during active trials, including contracting information and operational changes.
• Watch for issues across the study lifecycle, escalate risks to leadership, and help carry out corrective actions when necessary.
• Support process improvements that aim to raise efficiency, lower costs, and improve laboratory operations.

Requirements

The role calls for a bachelor’s degree in a scientific field or equivalent hands-on experience, such as 3+ years working as a clinical laboratory scientist. Candidates should have at least 2 years of laboratory experience and 1 year of exposure to clinical trials. A solid understanding of clinical laboratory processes and general lab workflows is important, along with strong communication and interpersonal abilities for working across teams and with external partners.

Applicants should also be organized, able to manage time well, and comfortable handling several projects at once. Proficiency with Microsoft Office and standard business documentation tools is required. The position needs someone who can work independently while still contributing effectively in a team setting. MT (ASCP) certification is preferred, but it is not mandatory.

Benefits and additional information

• Estimated annual compensation is about $70,000 to $90,000.
• This role offers the chance to work where clinical science, lab operations, and clinical trial development meet.
• You will collaborate with R&D, sales, project management, and external research partners.
• The position follows a standard full-time schedule of Monday through Friday, 40 hours per week.
• There are opportunities for professional development in clinical trials and scientific operations.
• The workplace is described as inclusive and follows equal opportunity employment practices.
• Additional compensation may be available depending on the role structure and location.

Privacy and hiring process notice

Applications are reviewed through an AI-supported matching process designed to quickly and fairly compare candidates against the role’s core requirements. Top-matching applications are forwarded to the hiring employer, while the employer’s internal team manages interviews, assessments, and the final decision.

By applying, candidates agree that personal data may be processed to assess candidacy and share relevant details with the hiring employer, based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. Applicants may request access, correction, deletion, or objection related to their data at any time.

Artificial intelligence tools may also be used to assist parts of recruitment, such as resume review, response analysis, and identification of possible inconsistencies or verification signals in application materials. These tools support recruiters but do not replace human judgment, and final hiring decisions are made by people.