RefinedScience

RefinedScience helps biopharma teams improve drug development by turning diverse clinical and biological data into actionable insights. The platform integrates clinical, genomic, and experimental data with expert knowledge to support decision making. Its technology combines data integration, analytics, and optimization models to improve clinical trial probability of success and time to actionable results. Targeting biopharma customers, RefinedScience scales across programs to accelerate development and drive strategic advantages.

AIBioinformaticsBiotechnologyClinical Data ScienceCloud EngineeringPrecision Medicinerefinedscience.com

RefinedScience

AIBioinformaticsBiotechnologyClinical Data ScienceCloud EngineeringPrecision Medicinerefinedscience.com

HQAurora, US

Team Size31

Open JobsUnknown

Total Funding-

Latest FundraiseUnknown

Join the Team

Senior Data Engineer

On-SiteAurora, CO, US

On-Site • Aurora, CO, US

Location: May work remotely from anywhere in the U.S. (HQ: Aurora, CO)

Job duties:

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Mobile Developer

ContractMunich, DE

Contract • Munich, DE

DevOps Engineer

Full-timeHaifa

Full-time • Haifa

AI Researcher

Part-timeNiš, RS

Part-time • Niš, RS

Frontend Developer

Part-timeAmsterdam, NL

Part-time • Amsterdam, NL

Product Designer

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Software Engineer

Part-timeBerlin, DE

Part-time • Berlin, DE

Design, build and execute data pipelines
Build the configurable ETL framework
Use engineering best practices following an Agile methodology to deliver high-quality emerging tech solutions
Analyze and profile data to construct best in class data models
Optimize SQL queries to maximize system performance
Provide guidance and support to junior developers
Troubleshoot bugs and data quality issues
Collaborate with departments across the organization
Elicit and document technical requirements
Utilize agile project management software
Oversee and execute CI/CD pipeline (continuous integration and continuous deployment)

Modern database technologies;
Modern programming languages such as Python or Java;
SDLC experience in an Agile environment;
APIs, CI/CD, Big Data, data architecture and governance;
Cloud technologies and platforms such as GCP, Docker, Kubernetes, AWS, Snowflake, and Azure;
Transforming data using SQL and communicating info through data visualization and reporting;
Loading (FCS) flow cytometry standard data;
File formats like CSV, Parquet, and Json;
Ingesting and engineering with large and complex healthcare datasets;
Gathering requirements from business and end users and develop technical design of new systems;
Jenkins, GitHub, Jira, and Big Data technologies such as Spark or similar technology;
Using IDEs such as PyCharm, Eclipse, JBoss, and IntelliJ; and
Relational database experience.