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Full Time Biomarker Operations Jobs (NOW HIRING)

The company reserves the right to modify onsite requirements, including transitioning to full-time ... biomarker-driven studies). * Provide expertise and leadership to ensure TMF inspection readiness ...

Internal Courier

North Palm Beach, FL ยท On-site

$15.75 - $20/hr

Full-Time/Part-Time Full-Time Description Access Medical Labs is one of the largest specialty ... We offer a comprehensive test menu-from routine panels to advanced biomarkers-across blood, saliva ...

Senior Cost Analyst

North Palm Beach, FL ยท On-site

$83K - $106K/yr

Full-Time/Part-Time Full-Time Description Access Medical Labs is one of the largest specialty ... We offer a comprehensive test menu-from routine panels to advanced biomarkers-across blood, saliva ...

Full-Time/Part-Time Full-Time Description Access Medical Labs is one of the largest specialty ... We offer a comprehensive test menu-from routine panels to advanced biomarkers-across blood, saliva ...

Monday-Friday | Full-Time Business Hours Position Summary Adecco Healthcare & Life Sciences is ... Laboratory Operations & Documentation * Maintain accurate documentation within laboratory quality ...

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Full Time Biomarker Operations information

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How much do full time biomarker operations jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for full time biomarker operations in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $30.29 per hour, depending on experience, location, and employer.

What are Full Time Biomarker Operations?

Full Time Biomarker Operations professionals are responsible for managing and coordinating all aspects of biomarker-related activities in clinical research or pharmaceutical development. They oversee the collection, processing, analysis, and storage of biological samples to identify and validate biomarkers. Their work ensures that biomarker data is accurate, regulatory compliant, and supports the goals of drug development or clinical studies. These roles often involve cross-functional collaboration with clinical teams, laboratories, and data management groups.

What are the key skills and qualifications needed to thrive as a Full Time Biomarker Operations professional, and why are they important?

To thrive in Full Time Biomarker Operations, you need a strong background in life sciences, clinical research, and biomarker assay development, typically with a relevant degree such as biology or biochemistry. Familiarity with laboratory information management systems (LIMS), Good Clinical Practice (GCP) guidelines, and assay validation tools is essential. Excellent organizational skills, attention to detail, and effective cross-functional communication set candidates apart in this role. These skills are critical for ensuring the accurate collection, analysis, and management of biomarker data that drive research and clinical trial success.

What are some typical challenges faced in a Full Time Biomarker Operations role, and how can they be effectively managed?

Professionals in Full Time Biomarker Operations often encounter challenges such as coordinating complex multi-site clinical studies, ensuring compliance with evolving regulatory requirements, and managing large volumes of biological sample data. Effective management involves strong project management skills, clear communication with cross-functional teams, and staying updated on industry standards. Leveraging robust tracking systems and fostering collaboration between clinical, laboratory, and data management teams can help mitigate these challenges and ensure study timelines are met.
More about Full Time Biomarker Operations jobs
What cities are hiring for Full Time Biomarker Operations jobs? Cities with the most Full Time Biomarker Operations job openings:
What are the most commonly searched types of Biomarker Operations jobs? The most popular types of Biomarker Operations jobs are:
Infographic showing various Full Time Biomarker Operations job openings in the United States as of July 2026, with employment types broken down into 36% Locum Tenens, 27% Internship, 31% Full Time, 1% Contract, and 5% Summer. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $54,588 per year, or $26.2 per hour.
Data Scientist (Translational Science)

Data Scientist (Translational Science)

Verismo Therapeutics

Philadelphia, PA โ€ข On-site

Full-time

Posted 5 days ago


Job description

Data Scientist (Translational Science)
Full-Time position
Location: Onsite (Tuesday, Wednesday, and Thursday; non-negotiable)
Start date: Open
Why Join Verismo?
Our team is small but driven, with the single focus of bringing life-changing cell therapies to patients with cancer. With a solid pipeline built around a novel KIR-CAR platform, our technology has found a way to circumvent the barriers in solid cancer where other CAR therapies have limited success. KIR-CARs eliminate the artificial chimeric constructs within T cells and instead use a natural NK-cell derived signaling system. This system is potent against both hematologic and solid tumors, and in preclinical models is superior to current CAR-T in conferring long-term sustained anti-tumor function to overcome the challenges posed in solid cancer. We have a strong team for CMC, clinical product manufacture, and clinical investigators already established and moving fast to bring KIR-CARs to patients in need.
Our company is comprised of individuals who each bring something unique to the table and are valued for their contributions. Our culture is based on the concept of 'love what you do' and the dedication that builds a team where people do their best and support one another. Because we believe our people are our greatest asset, career development is an important aspect of our investment in our team and we encourage work/life balance.
About the Position:
We are seeking a highly motivated Data Scientist to support the Verismo Translational Team across multiple clinical-stage programs. This role will report to the Biomarker Lead and offers the opportunity to contribute to data-driven decision-making in a collaborative, fast-paced environment.
The ideal candidate is curious, detail-oriented, and eager to work closely with Biomarker and R&D scientists to generate insights that accelerate translational research and impact clinical development.
The Data Scientist will build and automate tools for multi-parameter data exploration, will help standardize datasets and streamline data analysis, and perform basic statistical analyses to enhance the speed, transparency, and scalability of our workflows.
The Data Scientist will also support the development and continuous improvement of biospecimen lifecycle management systems. The role involves designing and maintaining robust, audit-ready frameworks to ensure end-to-end visibility, traceability, and integrity of all biosamples across studies, from collection through analysis.
The Data Scientist will partner cross-functionally with Clinical Operations (ClinOps), Clinical Development, and Quality Assurance (QA), to ensure data integrity and enable efficient study execution and downstream biomarker analysis.
Essential Duties & Responsibilities:
  • Partner with ClinOps, Clinical Development, and QA to ensure high-quality clinical and biomedical data to ensure accurate sample-to-data mapping
  • Perform exploratory data analysis and create intuitive tools for multi-parameter data visualization in collaboration with PhD scientists to uncover insights and guide decisions
  • Build and automate data pipelines and workflows to streamline data intake, QC, results reporting, and sample metadata integration
  • Standardize, integrate, and harmonize datasets from multiple sources to support cross-study analyses
  • Design and develop scalable biospecimen tracking and logistics tools that provide real-time visibility into clinical sample inventory, lifecycle, chain-of custody, location, and testing status, ensuring audit readiness and compliance with regulatory and internal QA requirements
  • Continuously identify opportunities to improve data systems, workflows, and overall operational efficiency
Qualification Requirements:
  • Master's degree in Data Science or a related quantitative field
  • Strong hands-on data visualization and data analysis techniques (e.g. R, Python, Excel, SQL, GraphPad Prism)
  • Experience working with clinical, biomedical or translational datasets is preferred
  • Familiarity with Cell or Gene Therapy is a plus
  • Industry experience is desirable

Key Competencies:
  • Strong analytical mindset with a proactive approach to problem-solving
  • Strong attention to detail with a commitment to documentation and compliance best practices
  • Experience with bioinformatics, immunology, and oncology preferred
  • Ability to work with and integrate diverse datasets and sources
  • Collaborative, team-oriented attitude