An 'In Vitro Release Testing' job description would typically involve performing laboratory analysis to assess the rate and extent of a drug's release from a pharmaceutical formulation (like creams, gels, or patches) using specialized equipment and techniques, ensuring the product meets quality standards and regulatory requirements, often within a pharmaceutical or related research and development environment; key responsibilities may include method development, validation, data analysis, and reporting of in vitro release studies. 

Key responsibilities may include:

• Method development and validation:

Designing and optimizing in vitro release test methods according to relevant pharmacopeial guidelines and regulatory expectations. 

• Sample preparation:

Accurately preparing test samples of pharmaceutical formulations for analysis. 

• Conducting in vitro release studies:

Operating specialized equipment like dissolution testers, diffusion cells, or other relevant apparatus to measure drug release over time. 

• Data analysis and interpretation:

Analyzing collected data to assess the release profile of the drug, comparing results to acceptance criteria, and identifying any potential issues. 

• Reporting and documentation:

Preparing detailed reports documenting study results, including data tables, graphs, and conclusions, adhering to good documentation practices (GDP). 

• Quality control:

Ensuring compliance with established quality standards and regulatory requirements, including proper calibration of equipment and adherence to standard operating procedures (SOPs). 

• Collaboration with cross-functional teams:

Working closely with formulation scientists, analytical chemists, and regulatory affairs to support drug development and regulatory submissions. 

Required skills and qualifications:

• Bachelor's degree in Pharmacy, Pharmaceutical Sciences, Chemistry, or a related field 
• Strong understanding of pharmaceutical principles, including drug delivery systems and in vitro release testing methodologies 
• Experience with relevant analytical techniques like HPLC, UV-Vis spectrophotometry, or other analytical methods used in drug release studies 
• Proficiency in data analysis software and statistical methods 
• Knowledge of Good Manufacturing Practices (GMP) and regulatory requirements for pharmaceutical testing 
• Excellent written and verbal communication skills to effectively document results and collaborate with colleagues

Strong Insurance Background

Experience Leading Transformations

Proven Expertise Leading up to 10 teams spread across various timezones

Preferable GW experience

SAFe Experience Nice to Have

Must Have Policy and Billing System Expertise

Strong RAID Management

Ability to identify and put risk mitigation strategies

Executive Presence

Job Description:

We are seeking a highly skilled ETL Developer to join our Client\'s dynamic team. The ideal candidate will design, develop, and maintain robust ETL (Extract, Transform, Load) processes to support our data integration and analytics initiatives. In this role, you will focus on building robust and scalable data pipelines, managing data storage systems, and ensuring the availability of high-quality data for analytical purposes.

Key Responsibilities:

• Design, build, and optimize ETL pipelines using Python and Java to process and transform large datasets.
• Collaborate with data architects, data engineers, and analysts to understand business requirements and implement ETL solutions accordingly.
• Extract data from multiple structured and unstructured data sources, such as databases, APIs, flat files, and cloud platforms.
• Write complex SQL queries and manage stored procedures to extract, transform, and load (ETL) data.
• Work extensively with AWS Glue for data preparation and orchestration.
• Manage and maintain data storage and processing systems using AWS RedShift,  RDS and S3.
• Troubleshoot and resolve issues in data pipelines, ensuring timely data delivery.
• Optimize and automate data pipelines for scalability, performance, and Data quality.
• Implement best practices for data governance, data security, and compliance.

Required Skills& Qualifications:

• Strong proficiency in Python and Java for data processing and automation.
• Expertise in writing and optimizing complex SQL queries and stored procedures.
• Hands-on experience with AWS Glue for building and orchestrating ETL processes.
• Solid knowledge of AWS  RedShift, RDS and S3 for data storage and retrieval.
• Experience working with large datasets and building scalable data pipelines.
• Experience with data modeling and data warehouse design principles.
• Familiarity with data warehousing concepts and data pipeline architectures.
• Knowledge of data governance and data security practices.
• Ability to work collaboratively in a fast-paced environment.

Preferred Qualifications:

• Knowledge of other AWS services such as Lambda or Redshift.
• Experience with data streaming tools like Kafka or Kinesis.
• Familiarity with data governance and security practices.
• Knowledge of DevOps practices and infrastructure-as-code tools like Terraform or CloudFormation.

Position :  Call Center Representative
Hybrid role : weekly 3 days

Location: 5 independence way Suite 160 Princeton NJ 08540

Location : 50 Crag wood Rd., Suite 100, South Plainfield, NJ 07080

Skills and Qualifications:

• Excellent verbal communication skills and the ability to actively listen to customers' needs.
• Strong customer service orientation and a genuine desire to assist customers.
• Proficiency in using call center software, CRM systems, and other relevant tools.
• Good  computer skills and familiarity with Microsoft Office or similar software.
• Experience in routing and transferring calls to internal members of the company
• Exposure to handling inbound and outbound calls over call center software platforms and soft phones
• Previous call center experience or customer service experience is preferred.

 Job Duties and Responsibilities:

• Answering incoming customer calls and addressing their inquiries or concerns..
• Providing exceptional customer service and always maintaining a professional and friendly demeanor.
• Transferring and routing calls to internal departments and members based on a defined workflow
• Adhering to company policies and procedures, including maintaining confidentiality of customer information.
• Participating in training sessions to enhance product knowledge and customer service skills.
  
  

 Education and Certifications:

• High school diploma/college degree or equivalent or its equivalent