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Data Scientist, RWE

ConcertAI, Boston, MA, United States


Job Requirements

Company Overview

ConcertAI is building the future of precision medicine. We use advanced artificial intelligence and real-world data to transform how healthcare and life sciences generate evidence, make decisions, and improve patient outcomes-starting in oncology and rapidly expanding across therapeutic areas. Our teams partner with the world's leading pharmaceutical companies, providers, and research organizations to solve some of healthcare's most complex challenges.

At the core of our innovation is CaraAI, our next-generation AI platform that unlocks powerful insights from complex clinical, imaging, and molecular data. Combined with our Precision Suite-which unifies real-world data, advanced analytics, and scalable evidence generation-these solutions are transforming how clinical development, regulatory, and commercialization decisions are made.

ConcertAI brings together a portfolio of purpose-built solutions, including TeraRecon, an industry leader in advanced imaging and AI-driven visualization, and CancerLinQ, the ASCO-originated oncology platform advancing care quality and large-scale discovery.

Joining ConcertAI means working alongside bold thinkers, builders, and healthcare experts on innovative, high-impact products that directly improve patient lives. You'll be part of a fast-growing, mission-driven organization at the forefront of AI-enabled healthcare, with meaningful opportunities for growth and leadership.

Role Summary

As a Data Scientist in the Real World Data business unit, you will report to the Manager, Data Science in a role that combines technical delivery with people leadership and strategic client support. The Data Science team operates in a cross-functional environment with representatives from other verticals on the Client Services team such as Epidemiology/HEOR, Translational Insights, and Project Management, as well as functions from other teams such as Data Products/Engineering and Customer Success. In this role, you will execute and oversee data analytics for rapid analytics services and data product support using ConcertAI's industry-leading and cutting-edge healthcare data resources.

In addition to hands-on technical contributions, this individual will serve as a trusted advisor to clients-proactively identifying solutions, aligning data use cases with client pipelines, and helping drive product adoption and expansion opportunities. This includes working with ConcertAI's next-generation AI and SaaS products, in addition to our core RWD offerings, and helping shape the support model for these new products.

Responsibilities

Client Solutions and Strategic Support

Advises pharmaceutical partners on the use of CAI data, technology, and analytics to support publications and/or regulatory submissions in an effort to advance their assets in the market
Proactively identify opportunities to align ConcertAI capabilities with client priorities and pipeline needs
Support cross-functional efforts to scope and deliver new use cases, providing methodological and domain expertise
Collaborate with Client Partners to support account expansion and upsell efforts
Receives, translate, triage, and answer client business requirements related to CAI data, technology, and analytics.
Technical Execution

Write performant SQL (Redshift preferred) for analysis, data validation, and business logic implementation
Create reproducible, well-documented code assets in SQL and R or Python
Translate complex outputs into actionable client insights, presenting to both technical and non-technical audiences
Product & Internal Collaboration

Provide structured feedback to Product and Engineering teams based on client usage and needs
Help refine support processes and frameworks for new AI/SaaS products
Contribute to knowledge sharing and best practices across the Data Science team
Provides technical voice of client and the technical details of client perspectives.
Requirements

Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Biostatistics, Computer Science, Epidemiology) or equivalent experience
Minimum 2+ years of experience in a data science, analytics, or product-facing role in life sciences, healthcare, or biotech
Expertise in SQL (Redshift preferred), with experience in building data models and pipelines
Proficiency in R and/or Python for data manipulation and exploratory analysis
Proven success in client-facing or consulting roles, ideally in the RWD or RWE space
Strong communication and problem-solving skills; ability to manage multiple priorities in a fast-paced, collaborative environment
Comfort working with ambiguity and taking initiative to define solutions

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.