Top Tech Jobs & Startup Jobs in NYC, NY
As a Staff Research Lead in Epidemiology and Patient Data Products, you will lead research projects focused on drug discovery, utilizing real-world data studies. Your role involves translating research questions into study designs, managing project timelines, collaborating with team members, and developing patient-centric insights using advanced statistical models. You will also work with diverse data types and ensure agile project management.
The Senior Security Engineer will manage the security infrastructure, integrate security solutions, perform security investigations, conduct forensic analysis, and support compliance with industry regulations. This role requires collaboration with various teams, threat hunting, and the establishment of security controls to protect company assets.
The Staff DevOps Engineer will manage and develop AWS Cloud infrastructure for data science and machine learning environments, resolve user issues, automate repetitive tasks, and create self-service tools to enhance user experience and reduce operational costs.
As a Senior Data Scientist in Computational Biology at Valo Health, you will integrate diverse omics data, perform high-level data analyses, and create robust computational models to support drug discovery. Collaborating with interdisciplinary teams, you will ensure data quality, contribute to target identification, and communicate complex findings effectively.
This role involves developing machine learning tools for patient data, performing analysis on longitudinal patient data, and integrating clinical insights using R and Python. The candidate will collaborate with various stakeholders and contribute to innovative machine learning approaches for clinical insights.
As a Staff/Senior Staff Data Engineer at Valo Health, you will lead data engineering initiatives to transform real-world data into analysis-ready data products. Responsibilities include building and maintaining data transformation pipelines, integrating EHR data, ensuring data quality, and providing technical leadership within the data engineering team.
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