Customer Success Manager

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

Position Overview:

The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices.

Key Responsibilities:

• Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications

• Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency

• Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration

• Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management

• Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability

• Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation

• Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods

• Continuously evaluate new model capabilities and AI technology trends

Required Skills:

• Architectural judgment and hands-on expertise in AI and LLM systems • Experience designing scalable and low-latency AI architectures

• Knowledge of multi-provider LLM integration and orchestration

• Understanding of distributed systems, microservices, and load balancing

• Strong grounding in AI model governance and benchmarking

• Awareness of data security and privacy best practices

• Experience with retrieval-augmented generation (RAG) and vector databases

Preferred (Bonus) Skills:

• Experience with function-calling and knowledge graphs

• Familiarity with hybrid grounding and retrieval enhancement strategies • Experience with voice automation systems (STT/TTS pipelines). give me in a proper formate

Job Title: PostgreSQL Database Administrator

Experience: 6–8 Years

Work Mode: Hybrid

Locations: Hyderabad / Pune

Joiners: Only immediate joiners & candidates who have completed notice period

Required Skills

• Strong hands-on experience in PostgreSQL administration (6+ years).
• Excellent understanding of SQL and query optimization techniques.
• Deep knowledge of database services, architecture, and internals.
• Experience in performance tuning at both DB and OS levels.
• Familiarity with DataGuard or similar high-availability solutions.
• Strong experience in job scheduling and automation.
• Comfortable with installing, configuring, and upgrading PostgreSQL.
• Basic to intermediate knowledge of Linux system administration.
• Hands-on experience with shell scripting for automation and monitoring tasks.

Key Responsibilities

• Administer and maintain PostgreSQL databases with 6+ years of hands-on experience.
• Write and optimize complex SQL queries for performance and scalability.
• Manage database storage structures and ensure optimal disk usage and performance.
• Monitor, analyze, and resolve database performance issues using tools and logs.
• Perform database tuning, configuration adjustments, and query optimization.
• Plan, schedule, and automate jobs using cron or other job scheduling tools at DB and OS levels.
• Install and upgrade PostgreSQL database software to new versions as required.
• Manage high availability and disaster recovery setups, including replication and DataGuard administration (or equivalent techniques).
• Perform regular database backups and restorations to ensure data integrity and availability.
• Apply security patches and updates on time.
• Collaborate with developers for schema design, stored procedures, and access privileges.
• Document configurations, processes, and performance tuning results.

Role: QA LEAD

Experience: 8 – 9 years

Responsibilities:

• Manual and Automation testing,
• ETL Testing, Basic SQL queries, API testing using Postman, Selenium-Java/Python, Develop Automation Framework experience from scratch
• At least 2 -3 years of Automation testing experience on Selenium or Cypress hands on experience in any Low-code Test Automation tool
• Manufacturing domain knowledge, Product testing, Agile/Scrum, Azure/JIRA, Katalon Studio (or any record and playback testing tool)
• GitHub,hands-on, Docker hands on experience
• Lead QA team and work as an individual contributor
• Reporting to QA Manager/Release Manager
• Team Management, Provide Trainings to team, Functional KT
• Test Plan, Test Scenarios, Test Case draft, Review
• Send Weekly QA Status report to stakeholders
• Send QA summary report on every release
• Prepare UAT Release notes
• UAT testing, Bug Triage, Regression testing
• Good in Test Effort Estimation
• Self-Driven
• Excellent communication and critical thinking skills.
• Expert in Agile Project Methodology using Azure DevOps board for bug management applied to product/project development.

About the role:

1. Around 8-9 years of experience in QA testing that includes around 2 years as a QA Lead and extensively involved in Test Planning Creation, developing & executing test cases, reviewing and monitoring progress, planning & managing dependencies, risks and resources, schedules, estimates, test reports in Telecom domains.
2. Experience with functional and automated testing on web application
3. Good understanding of Software Development Life Cycle (SDLC) and all stages of QA and Defect Life Cycles
4. Experience with Agile software development (Scrum)
5. API testing
6. Experience in both manual and automation testing with Selenium (Java/Python)
7. Strong experience with executing stored procedures for ETL and SQL queries to perform the Database testing.
8. Experience working on Reports data validation.
9. Experience in developing test plans, test cases, defect logging.
10. Actively involved in GUI, Functional, Integration, System, Regression, E2E testing, Post Validation Test, User acceptance, and Database testing
11. Familiarity of Quality Assurance standards, processes methodologies and strategies
12. Strong in analysing business requirements and specifications and development of test plans, test scripts, test cases and executing them
13. Experience in leading a testing team, assigning, and tracking tasks provided to team members
14. Self - motivated, team-oriented individual with strong problem-solving abilities
15. Good to have – Experience in testing AI based web application
16. Work with Release Manager to make sure Release process is followed in all the phases of SDLC and defined checkpoints, entry and exit criteria are met

• Acheive Sales Target
• Meeting with clients virtually or during sales visits.
• To meet Corporate Clients
• demonstrating and presenting products.
• establishing new business.
• maintaining accurate records.
• attending trade exhibitions, conferences and meetings.
• reviewing sales performance.
• negotiating contracts and packages.

Job description

Develops MDM data model and architecture

Configure MDM tools to perform MDM design as required

3+ years of experience in Pimcore

5+ years of experience in PHP/MySQL

3+ years of experience in MVC (Model-View-Controller) framework

4+ years of experience in Symfony 4.x.

Experience in front-end technologies like HTML, CSS, and Ajax.

Strong experience in design, implementation, and optimization of RDBMS databases,

especially MySQL/ MariaDB.

In-depth knowledge of MySQL Database.

Data analysis, data standardization, and data cleanup

Command over Object-Oriented PHP programming

Experience with RESTful services

Experience with DevOps (CICD, etc.).

Experience with Git.

Requirements and Qualifications :
- BS/MS degree in Computer Science, Engineering or a related subject
- 3-5 years of experience with Ruby and the Rails framework
- 3-5 years of experience with Git and Github
- 3-5 years of experience with SQL backends, preferably MongoDB, PostGre SQL
- Familiarity with testing tools such as Rspec
- Knowledge of Docker and docker-based deployment

- Critical thinker and problem-solving skills
- Team player
- Good time-management skills