Job Requirements Company Overview ConcertAI is at the forefront of revolutionizing healthcare with our cutting-edge AI and data solutions. Our mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. As a leader in real-world evidence (RWE) and data-driven technology, ConcertAI partners with top pharmaceutical companies, healthcare providers, and research institutions to enhance patient outcomes and streamline clinical research. By leveraging evidence-generation and artificial intelligence, we deliver unparalleled insights into treatment effectiveness, patient care, and disease progression to advance precision medicine and medical innovation. Within the ConcertAI ecosystem, TeraRecon is a leading innovator in advanced visualization, artificial intelligence (AI), and image analysis solutions for healthcare. With a focus on improving clinical workflows and enhancing diagnostic precision, TeraRecon offers scalable platforms like Intuition and Eureka AI to integrate imaging, data, and AI-driven insights seamlessly. Additionally, CancerLinQ, an oncology-focused platform developed by ASCO and now part of ConcertAI, supports cancer centers and practices in improving care quality and discovery. Joining ConcertAI means becoming part of a visionary team dedicated to transforming the healthcare landscape. You'll have the opportunity to work on innovative projects that directly impact patient lives, collaborate with some of the brightest minds in the industry, and be at the cutting edge of technological advancements in healthcare. ConcertAI offers a dynamic and inclusive work environment, competitive benefits, and ample opportunities for personal and professional growth. If you're passionate about making a difference in healthcare and excited by the prospect of working with advanced AI and data solutions, ConcertAI is the perfect place for you to thrive and make a lasting impact. Role Summary ConcertAI is seeking a Data Scientist to join our Client Services team within the Real World Evidence (RWE) Business Unit. This client-facing role will focus on supporting the successful delivery and ongoing support of ConcertAI’s data products, including EHR, claims, and multi-modal real-world datasets, as well as support for ConcertAI's new suite of AI-driven data and platform products. You’ll work closely with pharmaceutical and biotechnology partners to ensure optimal value and usability of our products within their analytic workflows. As a key technical contributor, you will drive solution implementation, respond to data inquiries, enhance analytic delivery pipelines, and act as a bridge between client needs and internal data engineering, product, and informatics teams. Most work will involve SQL (primarily in Redshift), with opportunities to leverage R, dbt, and Python. Responsibilities - Serve as a client-facing data scientist supporting the implementation and use of ConcertAI’s real-world data products. - Provide analytic and technical support for client onboarding, training, and ongoing data product usage. - Write performant SQL to generate analytic outputs, assess data quality, and respond to client questions. - Create reusable, well-documented code assets to scale support across clients. - Support internal and external teams by transforming business logic into scalable queries and data models. - Collaborate with internal teams (Epidemiology/HEOR, Data Operations, Informatics, Engineering) to troubleshoot issues and enhance product functionality. - Translate complex technical outputs into actionable insights for client stakeholders. - Work cross-functionally with Product, Engineering, and Client Partners to ensure high-quality, timely delivery of analytic solutions. - Maintain clear documentation and knowledge-sharing across engagements. - Contribute to product enhancements through feedback loops informed by client use and data exploration. Requirements - Bachelor’s or Master’s degree in a quantitative discipline (e.g., Data Science, Biostatistics, Computer Science, Epidemiology) or equivalent experience. - 3+ years of experience in a data-focused role within life sciences, healthcare, or biotech. - Experience working with real-world data (claims, EHR, or similar). - Strong SQL skills (preferably Redshift), with experience building data pipelines and analytic queries. - Experience with R and/or Python for data manipulation and statistical analysis. - Strong communication and stakeholder management skills, with the ability to explain complex data issues clearly to technical and non-technical audiences. - Ability to manage multiple client needs simultaneously in a fast-paced, client-centric environment. - Comfortable with ambiguity and eager to learn new tools and domains quickly. Preferred Qualifications - Experience supporting productized data or SaaS offerings. - Experience working on client-facing RWD or RWE projects. - Oncology domain expertise. - Familiarity with agile workflows and collaborative version control (e.g., Git). - Familiarity with modern data engineering tools (e.g., dbt, Airflow, Snowflake, Redshift). Learn More About ConcertAI Our team at ConcertAI is dedicated to transforming healthcare decision-making through the application of RWE and AI to improve patient outcomes. We work in a fast-paced, dynamic, high-performing culture where diversity, collaboration, and innovation are valued. Join us on our quest to create a world free of disease. Learn more about ConcertAI at www.concertai.com , or follow us on LinkedIn. Serving 1,300 clinical sites globally, TeraRecon - a ConcertAI company - is a Best in KLAS solution provider for AI-empowered radiology, oncology, cardiology, neurology, and vascular surgery. In the future, the combination with ConcertAI could bring a single, advanced AI-augmented diagnosis and interpretation capability from clinical trials to patient care. Learn more about TeraRecon at www.terarecon.com , or follow us on LinkedIn. EEO ConcertAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.