19 jobs found

As part of the Data Monitoring and Management group, an integral delivery unit within the Global Product Development (GPD) organization, the Clinical Data Scientist is responsible for timely and high quality data management deliverables supporting the Pfizer portfolio. The Clinical Data Scientist designs, develops, and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data, oversees application of standards, data review and query management, and is accountable for quality study data set release and consistency in asset/submission data. ROLE RESPONSIBILITIES Serve as Clinical Data Scientist for one or more clinical trials assuming responsibility for all DM&M activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence Participates and ensures quality database design including documentation,...

As part of the Data Monitoring and Management group, an integral delivery unit within the Global Biometrics and Data Management (GBDM) organization, the Data Manager is responsible for timely and high quality data review and query management of clinical data supporting the Pfizer portfolio. The Data Manager develops and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data. ROLE RESPONSIBILITIES Serve as Data Manager for one or more clinical trials assuming responsibility for DMM activities including selection and application of data acquisition standards, database design (including specification documentation and testing of clinical data collection tools, both CRF and non-CRF, using an EDC system and/or other data collection systems), development and maintenance of the Data Management Plan, data review and query management, data access and visualization, Data Management metrics reporting, database release, and...

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...

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. JOB DESCRIPTION Provide technical and thought leadership designing, testing and implementing methodologies to forecast and monitor metric time series. Develop algorithms to detect anomalies, assess risks/threats, and core metric fluctuations with our Security team. Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, product managers and company leadership. Interface with engineers, product managers and product...

What you will do Let’s do this. Let’s change the world. In this vital role you will work closely with product owner/business analyst and delivery managers to understand the complexity of regional requirements. This role will be part of the newly established technical/engineering team, lead design and develop of data flow pipelines to extract, transform, and load data from various data sources in various data format to enterprise data lake and data warehouse system in three regions in AWS. Responsibilities Be able to do hands on work, lead data engineer team, mentor junior data engineers Collaborate with Business SME’s, and Data Scientists to architect data products and services Provide architectural and data model oversight for processes which perform data extraction, transformation, work flow management and data quality check Drive the exploration and adoption of new tools, technique, propose improvements to the data pipelines and system...

The Role Collaborate with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions Summarize and clearly communicate data analysis assumptions and results Build data pipelines to feed data analyses into production dashboards that engineers can rely on Understand and apply reliability concepts in your data analysis Design and implement metrics, applications and tools that will empower energy service by allowing them to self-serve their data insights Work with service managers to drive usage of your applications and tools Write clean and tested code that can be maintained and extended by other software engineers Maintain robust documentation and support your production applications Keep up to date on relevant technologies and frameworks, and propose new ones that the team could leverage Independently identify trends, invent new ways of looking at data, and get creative in order...