Top Tech Jobs & Startups Jobs

Drive and manage the roadmap and rollout of data-driven products for global cancer researchers in Japan. Collaborate with cross-functional teams, prioritize, develop, and scale data products. Partner with engineering and clinical leaders, identify and fix process gaps, and make informed trade-offs around data design. Take on a role in cutting-edge scientific work and collaborate with leading experts worldwide.

As an Associate Research Scientist, you will support the development and validation of new real-world variables and datasets using various curation approaches including AI/ML. You will work collaboratively with stakeholders to inform variable development and quality for real-world evidence use cases.

Seeking a Scientific Advisor in Real-World Evidence & Life Science Strategy to engage with pharmaceutical industry clients, collaborate on research projects, analyze RWE landscape, and represent the company at conferences. German proficiency at C1/C2 level, 3-5 years industry experience, and scientific background required.

Manage and execute operational services for clinical trials to accelerate the clinical trial roadmap. Foster relationships with stakeholders, develop software and operations, and find efficient solutions based on regulatory requirements and industry best practices.

Senior Data Scientist role at Flatiron Health, working on developing data products, integrating machine learning and NLP technologies, collaborating with stakeholders, and mentoring other data scientists. Must have 4+ years of industry experience and strong background in statistics and analytics.

Join Flatiron Health as an EMR Interface Engineer to work on HL7 interfaces, data conversions, and customer support in the healthcare industry. Collaborate with internal and external teams to enhance customer experience and solve critical challenges.

Seeking a Senior Data Analytics Engineer to work on data products and real-world evidence generation in the healthcare sector. Responsibilities include rapid iteration on early-stage products, developing data processing approaches, integrating machine learning technologies, and collaborating with stakeholders to enable real-world evidence generation. Must have 4+ years of industry experience, strong background in statistics or analytics, proficiency in Python, and experience applying Machine Learning models to drive business impact.