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Redica Systems
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Redica Systems logo

Redica Systems

https://redica.com/
Founded :
2010
Type :
Product
Size :
100-500
Stage :
Raised funding
About

Redica Systems is a data analytics platform to help regulated industries improve their quality and stay on top of evolving regulations. Our proprietary processes transform one of the industry’s most complete data sets, aggregated from hundreds of health agencies and unique Freedom of Information Act (FOIA) sourcing, into meaningful answers and insights that reduce regulatory and compliance risk.


With human expertise, machine learning, and automation, we assimilate, normalize, and organize large amounts of unstructured data to make sure all entities are represented and connected. The RedicaID provides a real-time view into evolving data by tracking inspections, enforcement actions, regulatory publications, and M&A activity. In a complex landscape that’s always in flux, the RedicaID is a reliable constant.


Founded in 2010, Redica Systems serves over 200 customers in the pharma, biopharma, medtech, medical device, and food and cosmetics industries, including 19 of the top 20 pharma companies and 9 of the 10 top medical devices companies. The FDAzilla store is a wholly-owned subsidiary of Redica Systems. Redica Systems’ headquarters are in Pleasanton, CA. More information is available at www.redica.com.

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Redica Systems empowers the champions of quality and safety with actionable data intelligence.

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Inspection Prep's logo
Inspection Prep
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ENFORCEMENT ANALYTICS > INSPECTION PREPARATION Our inspection intelligence gives you unique insight into every FDA investigator and the latest agency inspection trends across inspection types, including pre-approval inspections (PAIs), for-cause inspections, and routine inspections on all GxPs.
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Vendor Quality
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ENFORCEMENT ANALYTICS > VENDOR QUALITY With more than 300,000 unique Site Profiles across GLP, GCP, GDP, and GMP vendors, you will never be in the dark about your vendors’ regulatory history and their most up-to-date inspection information.
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Workflows & Collaboration
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EXTERNAL MONITORING > WORKFLOWS AND COLLABORATION With most of the industry stuck using archaic tools like Sharepoint, we knew there was a better way! Our solution enables powerful workflows to link the signals and metadata to enable triage, prioritize work, assign impact assessments to Subject Matter Experts, document outcomes, link with company’s QMS, track progress and provide metrics for Management Oversight… all in one intuitive tool.
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Regulatory Surveillance
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EXTERNAL MONITORING > REGULATORY SURVEILLANCE Our team of industry experts combined with advanced Machine Learning (ML) models created the most comprehensive and digestible feed of Regulations and Standards to help Leaders get their arms around what's new/changing in the Regulation Landscape and drive decision-making.
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Jobs at Redica Systems

Redica Systems
at Redica Systems
2 candid answers
4 products
Nikhil Mohite
Posted by Nikhil Mohite
Bengaluru (Bangalore)
5 - 8 yrs
₹35L - ₹40L / yr
Python
SQL
Spark
Snowflake

Lightning Job By Cutshort ⚡

 

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)


About Us-

Redica Systems is a data analytics platform built to help life sciences companies improve their quality and stay on top of evolving regulations. Our proprietary processes transform one of the industry’s most complete data sets, aggregated from hundreds of health agencies and unique Freedom of Information Act (FOIA) sourcing, into meaningful answers and insights that reduce regulatory and compliance risk. Founded in 2010, Redica Systems serves over 200 customers in the Pharma, BioPharma, MedTech, and Food and Cosmetics industries, including 19 of the top 20 Pharma companies and 9 of the 10 top MedTech companies. Redica Systems’ headquarters are in Pleasanton, CA, but we are a geographically distributed company. More information is available at redica.com.


The Role-

We’re looking for an experienced Senior Data Engineer II to join our team as we continue to develop the first-of-its-kind quality and regulatory intelligence (QRI) platform for the life science industry. The ideal candidate will come with experience leading/mentoring a team of developers and maintaining a high bar of quality while remaining hands-on in the code.


Core Responsibilities

Full understanding of the technical architecture and the different sub-systems

Able to work as a lead in an Agile Scrum environment, with a keen focus on delivering sustainable, high-performance, scalable, and easily maintainable enterprise solutions

Helps prioritize technical issues with engineering managers

Proactively guides technical decisions in a domain of expertise

Recommend and validate different ways to improve data reliability, efficiency, and quality

Identify optimal approaches for resolving data quality or consistency issues

Ensure successful system delivery to the production environment and assist the operations and support team in resolving production issues, as necessary

Lead the acquisition of data from a variety of sources, intelligent change monitoring, data mapping, transformations, and analysis

Develop, test, and maintain architectures for data stores, databases, processing systems, and microservices

Integrate various sub-systems or components to deliver end-to-end solutions

Integrate data pipeline with NLP/ML services


Qualifications-

5+ years of senior or lead developer experience with an emphasis on technical mentorship, code/system architecture, and quality output

Extensive experience designing and building data pipelines, data APIs, and ETL/ELT processes

Extensive experience in data modelling and datawarehouse concepts

Deep, hands-on experience in Python

Hands-on experience setting up, configuring, and maintaining SQL and no-SQL databases (MySQL/MariaDB, PostgreSQL, MongoDB, Snowflake)

Computer Science, Computer Engineering, or similar technical degree


Bonus Points-

Experience with the data engineering stack within AWS is a major plus (S3, Lake Formation, Lambda, Fargate, Kinesis Data Streams/Data Firehose, DynamoDB, Neptune DB)

Experience with event-driven data architectures

Experience with the ELK stack is a major plus (ElasticSearch, LogStash, Kibana)


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Redica Systems
at Redica Systems
2 candid answers
4 products
Nikhil Mohite
Posted by Nikhil Mohite
Bengaluru (Bangalore)
8 - 12 yrs
₹25L - ₹40L / yr
Python
Bash
DevOps
Amazon Web Services (AWS)
Docker

Lightning Job By Cutshort ⚡

 

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)



About Us-

Redica Systems is a data analytics platform built to help life sciences companies improve their quality and stay on top of evolving regulations. Our proprietary processes transform one of the industry’s most complete data sets, aggregated from hundreds of health agencies and unique Freedom of Information Act (FOIA) sourcing, into meaningful answers and insights that reduce regulatory and compliance risk. Founded in 2010, Redica Systems serves over 200 customers in the Pharma, BioPharma, MedTech, and Food and Cosmetics industries, including 19 of the top 20 Pharma companies and 9 of the 10 top MedTech companies. Redica Systems’ headquarters are in Pleasanton, CA, but we are a geographically distributed company. More information is available at redica.com.


The Role-

We‘re looking for a Senior DevOps Engineer to become a vital part of the tech team. This is a great opportunity

for someone passionate about automating, deploying and scaling in the cloud (AWS).


Key Responsibilities-

  • Help manage our AWS infrastructure using Terraform and CloudFormation
  • Develop CI/CD pipelines with CodePipeline, CodeBuild, and CodeDeploy or similar tools
  • Support the Data and Application teams
  • As part of a small 24x7x365 team, act as Level 2 support for Redica’s platform and infrastructure
  • Develop reusable, automated processes and custom tools
  • Assist with integrating QA’s software tests into code pipelines5+ years of senior or lead developer experience with an emphasis on technical mentorship, code/system architecture, and quality output


Qualifications-

  • BA/BS degree in CS or a related technical field, or equivalent practical experience
  • 8 years of experience as a DevOps engineer and 3 years of experience in AWS cloud operations
  • Strong Linux system administration skills
  • Deep understanding of both EC2- and Fargate-backed AWS Elastic Container Service tasks
  • Hands-on Bash and Python scripting
  • Comfortable with Docker, configuration management, and monitoring tools
  • Knowledge of best practices related to security, performance, and disaster recovery
  • Hands-on experience integrating DataDog into AWS services like ECS, EC2, RDS, and Lambda
  • Experience interacting with others using sound judgment, good humor, and consistent fairness in a fast-paced environment


Bonus Points-

  • Experience with SOC2 compliance and vulnerability management
  • Expertise with Kubernetes clusters, applications and deployments
  • DataDog APM, monitoring, logs and dashboard skills
  • Certifications: AWS DevOps Engineer or SysOps Administrator
  • Experience with Snowflake data warehouses


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