5 jobs found

WHAT WE DO At Recursion we combine experimental biology, automation, and artificial intelligence to quickly and efficiently identify treatments for human diseases. We are transforming drug discovery into a data science problem by building a platform for rapid biological experimentation, data generation and availability, automated analysis, model training, and prediction. THE IMPACT YOU'LL MAKE Create a world-class data platform. You'll work with Biologists, Automation Scientists, and Data Scientists to create a platform that allows them to generate and access petabytes of data, gives them tools to quickly iterate on novel analysis, and deploy new deep learning models into the production data pipeline. Build, scale, and operate a streaming data pipeline. You'll be on a team responsible for moving, processing, and analyzing over 60 terabytes of data each week. Provide visibility into operations. You'll create tools, dashboards, and metrics to help lab operations...

Consistently named one of the top D.C. start-ups to watch since 2016, Quorum builds software that helps public affairs professionals work smarter and move faster. Our philosophy is people-first, whether we're supporting team members in their careers or prioritizing our clients with a best-in-class customer success program. Quorum's clients use our tools to bring a modern approach to advocacy work in Congress, all 50 state legislatures, major U.S. cities, the European Union, and more than a dozen countries. The Demand Generation Manager will help generate demand for Quorum by creating account-targeted campaigns to fill our inbound and outbound funnels. You will create campaigns using our website, email marketing via Hubspot, ads across a variety of channels, and an account-based marketing platform. While your work will benefit Quorum’s growth in a wide variety of ways, your success will primarily be measured by your ability to deliver warm leads from organizations within your...

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. Our Sales Engineering organization is seeking a Principal Data Platform Architect to join our Field CTO Office who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures...

The Global Information Security (GIS) team secures Pfizer’s most important information assets through world class talent, top security controls and an empowered culture that serves to enable Pfizer’s mission of delivering breakthroughs that change patients’ lives. The Cyber Threat Hunting team is responsible for finding unknown or unidentified threats to the organization that may have evaded existing security defenses and can impact Pfizer assets. With the assumption of system compromise, threat hunters will use various data sources, tools, and investigative methods to identify adversaries, along with the tactics, techniques, and procedures ("TTP's") they use to perform unauthorized and malicious activity. The team is responsible for mitigating risk through threat identification and works to implement stronger security controls and improved threat detection capabilities through every hunt execution. The incumbent will be a member of the Cyber Threat Hunting...

Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...