We are looking for a skilled Front-End Engineer proficient in React to join our dynamic team. As a Front-End Engineer, you will be responsible for developing and implementing user interface components and workflows that enhance user experience. Experience with responsive design principles, a design-based approach to front-end development, and the ability to leverage Language Models (LLMs) like GPT-3 for enhanced productivity are essential for this role. Responsibilities Develop new user-facing features using React. Collaborate with designers and backend engineers to implement and integrate user interfaces with server-side functionality. Build reusable components and front-end libraries for future use. Ensure the technical feasibility of UI/UX designs. Implement responsive designs and ensure cross-browser compatibility. Utilize Language Models (e. g., GPT-3) to optimize development workflows and improve productivity. Apply design-based principles to create intuitive and visually appealing user interfaces. Requirements Proven experience (3-5 years) working as a Front-End Engineer or similar role. Strong proficiency in TypeScript, HTML, CSS, and related web technologies. Proven proficiency in developing responsive web applications using React.js, incorporating component-based architecture, state management, and optimization techniques for enhanced performance. Design-oriented mindset with a focus on user experience and aesthetics. Knowledge of software development best practices, including version control (Git), testing, and code review. Excellent communication skills and ability to work in a collaborative team environment. Strong problem-solving skills and attention to detail. Nice To Have Knowledge of build tools and module bundlers (Webpack, Babel). Understanding of UX design principles and accessibility standards. Contributions to open-source projects or a strong GitHub profile. This job was posted by Supriya Singh from Neoqubit.
Responsibilities Develop Advanced Models: Design and implement sophisticated operations research models to optimize various business processes. Algorithm Implementation: Create and refine algorithms for solving large-scale computational challenges efficiently. Cross-Functional Collaboration: Collaborate with teams across departments to identify problem areas and provide comprehensive, data-driven solutions. Simulations and Testing: Develop simulation models to test, analyze, and validate proposed solutions for various scenarios. Documentation and Reporting: Prepare detailed technical reports and presentations for internal and external stakeholders. Continuous Learning and Application: Stay current with the latest developments in operations research and computational strategies to incorporate into company projects. Mentorship and Guidance: Mentor junior team members, fostering growth and encouraging knowledge sharing within the team. Requirements Education: Ph. D. or Master's in Operations Research, Applied Mathematics, Computer Science, or a related discipline. Advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in the Programming language C (mandatory). Experience with optimization tools like Gurobi, CPLEX, or similar software. Familiarity with machine learning and data analysis frameworks is a plus. Problem-Solving Ability Strong analytical skills and the ability to develop creative solutions for complex problems. Communication Skills: Excellent communication skills to effectively convey complex technical concepts. Teamwork: Strong team collaboration skills and the ability to contribute to a multi-disciplinary team environment. Performance Expectations Develop and implement efficient, high-quality computational models aligned with company goals. Deliver scalable and maintainable solutions that meet project timelines. Engage effectively with stakeholders, presenting findings and progress clearly. Mentor junior colleagues and contribute to fostering a culture of continuous learning. This job was posted by Viswa Akula from Neoqubit.
As a candidate for this role at Neoqubit, your primary responsibility will be to develop advanced models using sophisticated operations research techniques to optimize various business processes. You will also be expected to design and refine algorithms for solving large-scale computational challenges efficiently. In addition, you will collaborate with cross-functional teams to identify problem areas and provide data-driven solutions. Furthermore, you will need to develop simulation models to test and validate proposed solutions for different scenarios. Your role will also involve preparing detailed technical reports and presentations for internal and external stakeholders. It is essential to stay updated with the latest developments in operations research and computational strategies to incorporate into company projects. Moreover, you will be responsible for mentoring junior team members to foster growth and encourage knowledge sharing within the team. Qualifications required for this position include a Ph.D. or Master's degree in Operations Research, Applied Mathematics, Computer Science, or a related discipline. You should possess advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in the programming language C is mandatory for this role. Experience with optimization tools such as Gurobi, CPLEX, or similar software is preferred. Familiarity with machine learning and data analysis frameworks would be an added advantage. Your problem-solving ability will be crucial for this role, as you will need strong analytical skills to develop creative solutions for complex problems. Excellent communication skills are essential to convey complex technical concepts effectively. You should also have strong team collaboration skills and the ability to contribute to a multi-disciplinary team environment. In terms of performance expectations, you will be required to develop and implement efficient, high-quality computational models aligned with company goals. You should deliver scalable and maintainable solutions that meet project timelines. Effective engagement with stakeholders, presenting findings and progress clearly, is also expected. Moreover, mentoring junior colleagues and contributing to fostering a culture of continuous learning within the team are key aspects of this role. Please note that this job opportunity was posted by Viswa Akula from Neoqubit.,
Responsibilities Creating and maintaining high-quality artifacts(test scripts, test data, test reports). Executing performance testing projects as part of large teams and as an Individual contributor. Carrying out tasks with minimal supervision. Handling multiple projects at the same time. Liaise with different teams to understand requirements and to execute tasks as per requirements. Drill down on performance issues to highlight problem areas. Work with developers to get performance issues fixed. Requirements Hands-on experience in performance testing tools such as Jmeter, K6 Gatling, etc. Great understanding of performance metrics - server-side and client-side for Windows and Linux platforms. Great communication skills. Must be able to code in Java or Python. Ability to adapt to changing requirements in an agile environment. Experience in automating repetitive tasks using Jenkins and shell scripts. Experience in creating frameworks/automation to facilitate load tests at short notice. Ability to work with junior team members and guide them with the best practices. Experience with AWS / Azure. 3 - 5 years of relevant work experience. Good to have: Experience with Mongo, MySQL, Redis, and Elastic Search. This job was posted by Arulsakthi V from Neoqubit.
Responsibilities Develop Advanced Models: Design and implement sophisticated operations research models to optimize various business processes. Algorithm Implementation: Create and refine algorithms for solving large-scale computational challenges efficiently. Cross-Functional Collaboration: Collaborate with teams across departments to identify problem areas and provide comprehensive, data-driven solutions. Simulations and Testing: Develop simulation models to test, analyze, and validate proposed solutions for various scenarios. Documentation and Reporting: Prepare detailed technical reports and presentations for internal and external stakeholders. Continuous Learning and Application: Stay current with the latest developments in operations research and computational strategies to incorporate into company projects. Mentorship and Guidance: Mentor junior team members, fostering growth and encouraging knowledge sharing within the team. Requirements Education: Ph. D. or Master's in Operations Research, Applied Mathematics, Computer Science, or a related discipline. Advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in the Programming language C (mandatory). Experience with optimization tools like Gurobi, CPLEX, or similar software. Familiarity with machine learning and data analysis frameworks is a plus. Problem-Solving Ability Strong analytical skills and the ability to develop creative solutions for complex problems. Communication Skills: Excellent communication skills to effectively convey complex technical concepts. Teamwork: Strong team collaboration skills and the ability to contribute to a multi-disciplinary team environment. Performance Expectations Develop and implement efficient, high-quality computational models aligned with company goals. Deliver scalable and maintainable solutions that meet project timelines. Engage effectively with stakeholders, presenting findings and progress clearly. Mentor junior colleagues and contribute to fostering a culture of continuous learning. This job was posted by Viswa Akula from Neoqubit.
We're currently hiring for our US-based global management consulting and technology client, a market leader in healthcare and life sciences. Headquartered in Illinois (USA) and present across 30+ countries, the firm employs over 17,000 professionals worldwide across consulting, technology, and business operations. It will start off as a 9-month-long contract with possible conversion to a full-time role; the contract will be extended. If you're passionate about building cutting-edge applications and working with the latest in AI, this could be a great fit! We are looking for a skilled GxP Validation & Compliance Specialist to ensure that all digital twin workflows comply with global regulatory requirements, including 21 CFR Part 11 and EU Annex 11The specialist will lead Computer System Validation (CSV)/Computer Software Assurance (CSA) activities, manage compliance documentation, and provide expertise in pharma quality systems. This role will play a key part in enabling compliant deployment of advanced digital solutions. Responsibilities Lead and execute risk-based validation (CSV/CSA) activities for digital twin workflows. Ensure compliance with 21 CFR Part 11 EU Annex 11 and other applicable regulatory standards. Develop and manage validation plans, test scripts, traceability matrices, and reports. Define and validate audit trail design, electronic records, and electronic signature compliance. Support quality system documentation, including SOPs, deviations, CAPAs, and change controls. Partner with engineering, IT, and QA teams to ensure seamless compliance integration. Provide training and guidance on regulatory compliance best practices. Support internal and external audits and regulatory inspections. Requirments Strong expertise in CSV/CSA methodologies and risk-based validation approaches. In-depth knowledge of 21 CFR Part 11 EU Annex 11 GAMP 5 and pharma regulatory frameworks. Experience in audit trail validation, ER/ES compliance, and system qualification. Hands-on experience with quality management systems (QMS) and pharma compliance practices. Strong documentation skills for validation deliverables and regulatory audits. Ability to collaborate with cross-functional teams in regulated environments. Good To Have (Optional) Experience with digital twin technologies in regulated industries. Familiarity with pharma manufacturing IT systems (MES, LIMS, QMS). Exposure to cloud-based systems validation (AWS, Azure, GxP environments). This job was posted by Supriya Singh from Neoqubit.