About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Clinical Operations, specifically focusing on laboratory functions within clinical trials. As an In-House Clinical Research Associate (Lab Specialist), you will play a critical role in ensuring the accuracy and integrity of laboratory data, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities

• Centralize and manage the monitoring of biological parameters across clinical studies
• Transcribe laboratory parameters and local lab reference ranges into a dedicated English template
• Review and respond to data management queries related to biological parameters, either within the template or directly in the eCRF (RAVE)
• Identify and resolve discrepancies such as:
• Missing data fields (e.g., lab parameter entered in eCRF but missing in the template)
• Inconsistencies between the eCRF and the template
• Ensure the correct use of measurement units and maintain data accuracy across all records

Requirements

Founding AI Engineer (Clinical Workflow Transformation)

Company: Agentic Studios Location: Albuquerque, NM

Employment Type: Full-time

Work Arrangement: On-site 5 days a week

About the Role

Our client, Agentic Studios, is a mission-driven AI startup focused on radically reinventing healthcare delivery. They are building a venture that tackles complex clinical challenges by re-engineering workflows using state-of-the-art AI. The company has secured $2 million in funding and is seeking builders driven by the mission to make a significant impact on patient and clinician experiences.

They are looking for a Founding AI Engineer who is ready to be a co-founder, aligning long-term success with meaningful equity in this high-impact venture. This is a unique opportunity for an engineer to lead the integration of AI capabilities directly into clinical practice.

What You'll Be Doing

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Clinical Operations/Medical Affairs. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Clinical Operations/Medical Affairs. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Senior Machine Learning Engineer, remotely from the United States.

As a Senior Machine Learning Engineer, you will work alongside a team of machine learning engineers and clinical experts to build and deploy machine learning models aimed at automating clinical practices. The role involves developing scalable ML systems, focusing on tasks like data retrieval, classification, and generating insights from both structured and unstructured data. Your contributions will directly impact the improvement of healthcare processes through AI-driven innovations. You will also mentor junior engineers while collaborating with cross-functional teams to ensure the alignment of ML solutions with the company’s broader objectives.

Accountabilities: