
Powerful, integrated real-world data and AI-driven solutions to transform how insights are generated and accelerate therapeutic innovations to patients.

Powerful, integrated real-world data and AI-driven solutions to transform how insights are generated and accelerate therapeutic innovations to patients.
Core focus: Oncology real-world data (RWD) and AI-driven solutions for research, clinical development, regulatory evidence, and commercial teams
Product highlights: Precision Suite (PrecisionExplorer, PrecisionTRIALS, PrecisionGTM, Precision360), CancerLinQ, TeraRecon imaging, CARAai
Headcount: 871 employees (source snapshot)
Investor backing: Backed by SAI / SymphonyAI and institutional growth investors including Sixth Street and Declaration Partners
Generating and analyzing oncology real-world data and applying AI to accelerate clinical development, regulatory evidence, and commercial strategy.
2018
Healthcare / Life Sciences / Health AI
Company profiles record a Series C funding round.
“Backed by SAI Group / SymphonyAI, Sixth Street, Declaration Partners, Maverick Ventures, and AllianceBernstein Private Credit Investors”
Job Requirements Looking for energetic, self-motivated and exceptional Data Engineer to work on extraordinary enterprise products based on AI and Big Data engineering. He/she will work with star team of Architects, Data Scientists/AI Specialists, Data Engineers, Integration Specialists and UX developers.
Work Experience Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Experience supporting and working with cross-functional teams in a dynamic environment.
Role 6+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Information Systems or another quantitative field. Should have experience using the following software/tools:
Experience with relational SQL and NoSQL databases, including Postgres and RDS- MSSQL.
Experience in PySpark programming.
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
65,000+
Open Roles
1,400+
New This Week