We are looking for a dependable and detail-oriented L1 Support Executive to provide first-line support for enterprise-grade software products used in domains such as content workflows, data management, and domain-specific platforms. The ideal candidate will assist users in resolving day-to-day issues, answering product-related questions, and escalating complex problems to higher support tiers. This role is ideal for someone with strong communication and organizational skills who enjoys working across varied digital platforms and supporting users from diverse professional backgrounds. Qualifications & Skills Bachelor’s degree in Computer Science, Information Technology, or a related field. 1+ years of experience in a helpdesk, product support, or L1 technical support role. Strong verbal and written communication skills in English. Familiarity with support ticketing and service desk tools, such as: Jira Service Management / Jira Service Desk Redmine Freshdesk Zendesk Zoho Desk Ability to troubleshoot software usage issues and guide non-technical users effectively. Basic understanding of digital platforms that manage structured workflows or large datasets. Preferred: Exposure to platforms dealing with structured data, content pipelines, or industry-specific software solutions. Ability to handle support for multiple products or modules simultaneously. Experience documenting solutions and creating support articles or FAQs. Familiarity with tools such as: Confluence (for documentation) Microsoft Excel or Google Sheets File formats such as CSV, JSON, or XML Remote support tools (e.g., TeamViewer, AnyDesk) Roles & Responsibilities Serve as the first point of contact for customers encountering issues with business applications. Provide prompt and professional responses to support tickets, emails, or chat queries. Troubleshoot common user issues and guide users through application features and provide step-by-step instructions for common tasks. Document all support interactions and maintain accurate ticket records. Escalate advanced issues to L2 support or technical teams with clear context and logs. Contribute to the maintenance of internal knowledge bases and support documentation. Monitor support queues and ensure timely resolution within agreed SLAs. Collaborate with internal teams to identify recurring issues and suggest usability improvements.
You have not uploaded your resume yet. in My Profile section to apply for any postion. Requirement Details. About the Company: Molecular Connections is the pioneering AI-ML driven content solutions company from India. For over 20+ years, we are working with global publishing leaders across the full spectrum of STEM domains (commercial, government/regional scientific research organizations, non-profits including societies and universities). Role: As part of our Chemistry services, you will play a key role in developing content for our internal database. Your expertise will help maintain the quality and efficiency of academic journal workflows. |Responsibilities: - Screen and analyze research work published in Life Sciences to contribute to our scientific databases - Utilize your conceptual clarity and analytical mindset to grasp complexities in research domains - Collaborate with our team to maintain the quality and efficiency of academic journal workflows Qualifications Skills: - Postgraduate in Chemistry/ Ph.D - Strong organizational and multitasking abilities - Excellent communication skills and attention to detail - Familiarity with structure drawing tools is a plus General Info: - Experience: 0-3 years - Location: Coimbatore What We Offer - Opportunity to work with a dynamic team - Professional growth and development - Competitive compensation package
About the job : Developing and maintaining Python applications, designing and optimizing application performance, and implementing security and data protection with MongoDB. Responsibilities : - Develop applications : Create and maintain software applications using Python - Optimize performance : Design and optimize application performance, usability, and scalability - Troubleshoot : Debug applications to ensure low latency and high-availability - Implement security : Implement database security, backup, and recovery best practices - Automate tasks : Design and maintain Python scripts and codes to automate tasks - Database management : Experience with MongoDB or similar databases, including database design, query optimization, and data modeling Skills : - Proficiency in Python programming language (Pandas, BeautifulSoup, FastAPI) - Ability to design and maintain Python scripts and codes - Ability to troubleshoot and debug applications - Ability to implement test-driven development and automated testing - Ability to maintain and configure MongoDB instances - Ability to create RESTful API with FastAPI or Django - Ability to parse PDF and XML files - Strong analytical and problem-solving skills - Familiarity with version control systems like Git
Position: Automation Engineer Experience Required: 4+ years Primary Skills: JavaScript, Cypress Key Requirements:· Minimum 4 years of experience in test automation · Strong hands-on experience with JavaScript (ES6+) and Cypress · Experience writing and maintaining automated UI and API tests · Familiarity with CI/CD pipelines and version control systems like Git · Good understanding of web technologies (HTML, CSS, REST APIs) · Strong debugging, troubleshooting, and analytical skills · Ability to work collaboratively in agile development teams · Knowledge of BDD frameworks like Cucumber
Company Description Molecular Connections (MC) is a leader in Big Data and Data Science Solutions, using AI-powered models to drive digital transformation for customers. With a strong focus on innovation, MC collaborates with leading pharma and STEM industries to offer end-to-end software development and data insights. The company is located in Bengaluru, India, and has a workforce with over 70% women, making it one of the top companies for women to work for in India. Role Description This is a full-time on-site role for a Junior Quality Assurance Analyst at Molecular Connections. The role involves tasks such as analytical skills application, quality assurance, quality control, manual testing, and creating test cases to ensure the quality of software products. Qualifications 1-3 yrs experience in Quality Assurance and Quality Control processes Proven experience in manual/functional testing methodologies (e.g., black-box testing, exploratory testing). Expertise in developing and maintaining automated test scripts using MSTest. Strong understanding of software development lifecycle (SDLC) and Agile methodologies. Excellent analytical and problem-solving skills. Ability to prioritize tasks, manage time effectively, and meet deadlines. Strong written and verbal communication skills. Experience with API testing is a plus. Familiarity with other automation frameworks (e.g., Selenium) is a plus. Bachelor's degree in Computer Science, Engineering, or related field
You have not uploaded your resume yet. Please upload your latest resume in My Profile section to apply for any postion. Requirement Details. Job Description: Responsibilities: Conduct thorough manual/functional testing of software applications across various functionalities. Develop and maintain automated test scripts using MSTest framework. Identify and report bugs and defects through a bug tracking system. Analyze test results, diagnose issues, and collaborate with developers to resolve them. Participate in code reviews to identify potential defects early in the development process. Stay up-to-date with the latest QA methodologies and best practices. Contribute to the improvement of existing testing processes and documentation. Work effectively within an Agile development environment. Clearly communicate test findings and recommendations to technical and non-technical audiences. Experience : 1+ yrs upto 3 yrs Qualifications: Proven experience in manual/functional testing methodologies (e.g., black-box testing, exploratory testing). Expertise in developing and maintaining automated test scripts using MSTest. Strong understanding of software development lifecycle (SDLC) and Agile methodologies. Excellent analytical and problem-solving skills. Ability to prioritize tasks, manage time effectively, and meet deadlines. Strong written and verbal communication skills. Experience with API testing is a plus. Familiarity with other automation frameworks (e.g., Selenium) is a plus. Qualification(s):
Position Overview We are seeking an experienced SAS Programmer - Pharmaceutical to join our clinical programming team. The successful candidate will be responsible for developing, testing, and maintaining SAS programs for clinical trial data processing, CDISC dataset creation, and regulatory submission deliverables in compliance with pharmaceutical industry standards. Key ResponsibilitiesSAS Programming & Development Develop and maintain complex SAS programs for clinical trial data processing and transformation Create SDTM (Study Data Tabulation Model) datasets from raw clinical data Build ADaM (Analysis Data Model) datasets for statistical analysis Generate tables, listings, and figures (TLFs) using SAS procedures Develop reusable SAS macros and standard programming libraries Optimize SAS code for performance and efficiency Data Processing & Validation Transform and clean clinical trial data using SAS DATA steps and procedures Implement data validation checks and quality control processes Create and maintain data derivation specifications and programming documentation Perform dataset reconciliation and data integrity checks Debug and troubleshoot SAS programs to ensure accurate outputs CDISC Implementation Implement CDISC standards (SDTM, ADaM) using SAS programming Create and maintain CDISC-compliant datasets for regulatory submissions Develop define.xml files and associated documentation Ensure metadata consistency across programming deliverables Support CDISC validation and compliance reviews Regulatory Support Prepare SAS programs and datasets for regulatory submissions (NDA, BLA, IND) Ensure programming deliverables meet FDA, EMA, and other regulatory requirements Support regulatory inspections by providing programming documentation Maintain 21 CFR Part 11 compliance in all programming activities Create and maintain programming specifications and validation documentation Technical Collaboration Work with biostatisticians to understand analysis requirements and specifications Collaborate with data managers on database design and data transfer processes Support clinical teams with ad-hoc programming requests and data queries Participate in UAT (User Acceptance Testing) and validation activities Provide technical guidance to junior programmers Required QualificationsTechnical Skills Advanced proficiency in SAS programming (Base SAS, SAS/STAT, SAS/GRAPH, SAS Macro) Strong experience with SAS DATA steps, procedures, and functions Proficiency in SQL and database programming Experience with CDISC standards implementation (SDTM, ADaM) Knowledge of clinical trial data structures and pharmaceutical data flows Understanding of regulatory requirements for pharmaceutical submissions Experience Bachelor's degree in Computer Science, Statistics, Mathematics, or related field 3-5 years of SAS programming experience in pharmaceutical/biotech environment Hands-on experience with clinical trial programming and CDISC datasets Experience with regulatory submission programming deliverables Knowledge of clinical research processes and Good Clinical Practice (GCP) Programming Competencies Expertise in SAS macro programming and automation Experience with complex data manipulations and transformations Proficiency in creating and maintaining programming documentation Strong debugging and troubleshooting skills Experience with version control systems and programming best practices Preferred QualificationsAdvanced Technical Skills Experience with SAS Enterprise Guide, SAS Studio, or SAS Viya Knowledge of other programming languages (R, Python, SQL) Experience with cloud-based SAS environments (AWS, Azure) Familiarity with clinical data standards beyond CDISC (HL7 FHIR, etc.) Experience with automated testing and validation frameworks Industry Experience Experience across multiple therapeutic areas and study phases Knowledge of adaptive trial designs and complex study protocols Experience with global regulatory submissions and requirements Familiarity with electronic submission formats (eCTD, STDM) Experience with clinical trial management systems and EDC platforms Certifications SAS Certified Base Programmer SAS Certified Advanced Programmer CDISC certification (preferred) Technical EnvironmentSAS 9.4 or SAS Viya platform Windows/Linux server environments Oracle, SQL Server, or other enterprise databases Version control systems (Git, SVN) Clinical trial management and EDC systems Working ConditionsHybrid/remote work flexibility Collaborative programming team environment Project-based work with varying deadlines Occasional overtime during submission timelines Professional development and training opportunities
As a Variant Annotation Curator, your primary responsibility will be to curate, harmonize, and maintain high-quality variant annotation datasets from a variety of public and proprietary sources such as ClinVar, ClinGen, HGDM, CADD, refSeq, REVEL gnomAD, dbSNP, and COSMIC. You will be tasked with developing and implementing pipelines to ensure the harmonization of variant annotations across different formats, nomenclatures, and reference genomes. Standardizing variant representations using HGVS, VCF, and other relevant formats will also be a key aspect of your role. Collaboration with the technical operations team to deliver curated data into customer systems will be essential. Additionally, you will be responsible for performing quality control and validation of variant annotations to uphold data integrity standards. Staying updated with the latest developments in variant annotation standards and tools, as well as understanding differences between annotation database versions, will be crucial for this position. Documenting curation processes and contributing to documentation will also be part of your duties. To qualify for this role, you should have a Master's or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field. Strong experience with variant annotation tools and databases is required. Proficiency in ETL/workflow tools like Airflow, Nextflow, and scripting languages such as Python or R is essential. Experience with version control systems like Git, familiarity with genomic data formats (VCF, BED, GFF), and reference genome builds (GRCh37/38) is necessary. Previous experience with data harmonization and integration across heterogeneous sources, knowledge of ontologies, and controlled vocabularies (e.g., ClinVar terms, Sequence Ontology) are also important qualifications. Having excellent problem-solving skills and attention to detail is crucial for success in this role. Additionally, experience with SQL (Postgres), familiarity with Kubernetes architecture, and cloud services like AWS would be advantageous in fulfilling your responsibilities as a Variant Annotation Curator.,
You will be a valued member of our clinical research team as a Statistical Programmer, where your primary responsibility will be to program, validate, and deliver statistical outputs for clinical trials. In this role, you will play a crucial part in ensuring compliance with regulatory standards and industry best practices. Your key responsibilities will include developing and maintaining SAS programs for clinical trial data processing, analysis, and reporting. You will be required to map clinical trial data to CDISC standards (SDTM and ADaM) to ensure compliance with regulatory requirements. Creating and maintaining analysis datasets following CDISC implementation guidelines will also be a part of your daily tasks. Additionally, you will perform data validation and quality control checks to uphold data integrity. Documentation and compliance will be another important aspect of your role. Your tasks will involve generating and maintaining CDISC documentation, which includes define.xml files, reviewer's guides, and annotated case report forms (aCRF). Conducting Pinnacle21 validation checks, resolving compliance issues, and ensuring that all deliverables meet regulatory submission standards will be essential. Maintaining comprehensive programming documentation and version control will also be part of your responsibilities. You will also be responsible for producing Tables, Listings, and Figures (TLFs) based on Statistical Analysis Plans (SAP) and collaborating with biostatisticians to implement complex statistical analyses. Supporting clinical study reports and regulatory submissions, as well as performing ad-hoc analyses as requested by clinical teams, will be part of your statistical analysis and reporting responsibilities. Collaboration is key in our team, and you will work closely with clinical data management, biostatistics, and regulatory affairs teams. Your involvement in project meetings, providing technical expertise, supporting timeline planning, and deliverable tracking will be crucial. Additionally, you will mentor junior programmers and provide them with technical guidance. To excel in this role, you will need a minimum of 3+ years of experience as a statistical programmer in clinical research or the pharmaceutical industry. Advanced SAS programming skills, including expertise in Base SAS, SAS/STAT, SAS/GRAPH, and SAS Macro language, are required. A strong understanding of clinical trials, CDISC standards, and experience with CDISC documentation are essential. Soft skills such as excellent communication, problem-solving mentality, attention to detail, and effective team collaboration will also be important. Preferred qualifications include experience with Real-World Data (RWD), Pharmacokinetic (PK) calculations, R programming, and knowledge of other statistical software packages. A Bachelor's degree in Statistics, Mathematics, Computer Science, Life Sciences, or a related field is required, while an advanced degree is preferred but not mandatory if you have relevant experience. This position offers a competitive salary, comprehensive benefits package, professional development and training opportunities, a collaborative work environment, and career advancement opportunities within our growing organization. Join us and contribute meaningfully to clinical research while developing expertise in regulatory compliance and industry best practices.,
Responsibilities : - Architect, design, develop, and maintain complex, scalable React Native applications using clean code principles. - Collaborate with designers to translate UI/UX mock-ups into pixel-perfect, native-feeling mobile interfaces. - Leverage React Native's capabilities to build reusable UI components and implement performant animations. - Effectively utilize native modules and APIs to achieve platform-specific functionalities when necessary. - Write unit and integration tests to ensure code quality and maintainability. - Identify and troubleshoot bugs, diagnose performance bottlenecks, and implement optimizations. - Stay up to date with the latest trends and advancements in the React Native ecosystem. - Participate in code reviews, provide mentorship to junior developers, and foster a collaborative development environment. Qualifications : - Experience in professional software development with a strong focus on mobile development. - Proven experience building production ready React Native applications. - In-depth knowledge of React, JavaScript (ES6+), and related web technologies (HTML, CSS). - Strong understanding of mobile development concepts and best practices. - Experience with Redux or similar state management libraries for complex applications. - Experience with unit testing frameworks (Jest, Mocha) and UI testing tools. - Excellent communication, collaboration, and problem-solving skills. - Ability to work independently and manage multiple tasks effectively. - A passion for building high-quality, user-centric mobile applications. Nice To Have : - Experience with native development (iOS/Android) for deep integrations. - Experience with containerization technologies (Docker, Kubernetes). - Experience with continuous integration/continuous delivery (CI/CD) pipelines. - Experience with GraphQL or RESTful APIs.
Key Responsibilities : - Data Model & Transformation : Develop a deep understanding of JSON data models, writing complex queries and managing data transformation processes to enable robust analytics and reporting. - Data Analysis & Visualization : Actively analyze, visualize, and provide insightful analytics on data to build comprehensive reporting solutions that support various company initiatives. - BI & Data Warehousing Development : Participate in the ongoing development and enhancement of the Business Intelligence (BI) and Data Warehousing functions within the wider organization. - Dashboard Development : Build rich and dynamic dashboards using out-of-the-box features, custom solutions, and advanced visualizations leveraging D3.js, Angular.js, or equivalent technologies. - BI Standards & Best Practices : Contribute to the creation and support of BI development standards and best practices to ensure consistency and quality across solutions. - Technology Exploration : Explore and recommend emerging technologies and techniques to support and enhance existing BI landscape components and capabilities. Required Skills & Qualifications : - At least 2 years of experience in the field of data visualization. - Demonstrable skills in building responsive user interfaces and data visualizations using Angular.js and D3.js. - Strong web development experience, including JavaScript, CSS, HTML, and general visualization principles. - Proficiency in Python or other scripting languages for data manipulation and backend processes. - At least 6 months of experience with Oracle RDBMS (SQL/PLSQL) or MySQL. - Strong analytical and problem-solving skills, with an ability to understand and interpret complex data sets. - Excellent communication skills, both verbal and written, for collaborating with technical and non-technical stakeholders. - Bachelor's in Computer Science, Business, Business Administration, or a closely-related degree, or foreign equivalent.
Position Overview : We are seeking a skilled Statistical Programmer to join our clinical research team. The successful candidate will be responsible for programming, validating, and delivering statistical outputs for clinical trials while ensuring compliance with regulatory standards and industry best practices. Key Responsibilities : Programming & Data Management : - Develop and maintain SAS programs for clinical trial data processing, analysis, and reporting. - Map clinical trial data to CDISC standards (SDTM and ADaM) ensuring compliance with regulatory requirements. - Create and maintain analysis datasets following CDISC implementation guidelines. - Perform data validation and quality control checks to ensure data integrity. Documentation & Compliance : - Generate and maintain CDISC documentation including define.xml files, reviewer's guides, and annotated case report forms (aCRF). - Conduct Pinnacle21 validation checks and resolve any compliance issues. - Ensure all deliverables meet regulatory submission standards (FDA, EMA, etc.). - Maintain comprehensive programming documentation and version control. Statistical Analysis & Reporting : - Produce Tables, Listings, and Figures (TLFs) based on Statistical Analysis Plans (SAP). - Collaborate with biostatisticians to implement complex statistical analyses. - Support clinical study reports and regulatory submissions. - Perform ad-hoc analyses as requested by clinical teams. Cross-functional Collaboration : - Work closely with clinical data management, biostatistics, and regulatory affairs teams. - Participate in project meetings and provide technical expertise. - Support timeline planning and deliverable tracking. - Mentor junior programmers and provide technical guidance. Required Qualifications : Technical Skills : - Minimum 3+ years of experience as a statistical programmer in clinical research or pharmaceutical industry. - Advanced SAS programming skills with expertise in Base SAS, SAS/STAT, SAS/GRAPH, and SAS Macro language. - Strong understanding of clinical trials including study designs, endpoints, and regulatory requirements. - Proven experience with CDISC standards (SDTM and ADaM) and data mapping techniques. - Experience with CDISC documentation including define.xml, reviewer's guides, and aCRF preparation. - Hands-on experience with Pinnacle21 validation software and resolving compliance issues. - Demonstrated ability to produce TLFs based on Statistical Analysis Plans with attention to detail. Soft Skills : - Fluent in English with excellent written and verbal communication skills. - Strong problem-solving mentality with ability to troubleshoot complex technical issues. - Detail-oriented approach with commitment to accuracy and quality. - Excellent communication and interpersonal skills for effective team collaboration. - Fast learner with ability to adapt to new technologies and methodologies. - Strong organizational skills and ability to manage multiple priorities. Preferred Qualifications (Nice to Have) : - Real-World Data (RWD) experience including analysis of electronic health records, claims data, or registries. - Pharmacokinetic (PK) calculations experience and understanding of PK/PD modeling. - R programming skills for statistical analysis and data visualization. - Experience with other statistical software packages (Python, SPSS, etc.). - Knowledge of therapeutic areas and regulatory guidelines. - Experience with cloud-based platforms and version control systems. Education Requirements : - Bachelor's degree in Statistics, Mathematics, Computer Science, Life Sciences, or related field. - Advanced degree preferred but not required with relevant experience. This position offers an excellent opportunity for a skilled statistical programmer to contribute to meaningful clinical research while developing expertise in regulatory compliance and industry best practices.
We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well. Responsibilities : - Writing reusable, testable, and efficient code - Design and implementation of low-latency, high-availability, and performant applications - Integration of user-facing elements developed by front-end developers with server side logic - Implementation of security and data protection - Integration of data storage solutions Skills And Qualifications : - Expert in Python, with knowledge of at least one Python web framework - Familiarity with some ORM (Object Relational Mapper) libraries - Able to integrate multiple data sources and databases into one system - Understanding of the threading limitations of Python, and multi-process architecture - Good understanding of server-side templating languages such as Jinja 2, Mako - Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 - Understanding of fundamental design principles behind a scalable application - Familiarity with event-driven programming in Python - Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform - Able to create database schemas that represent and support business processes - Strong unit test and debugging skills - Proficient understanding of code versioning tools such as Git, Mercurial or SVN.
Job Description : We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company. Responsibilities : - Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities - Implementing ETL process - Monitoring performance and advising any necessary infrastructure changes - Defining data retention policies Skills and Qualifications : - Proficient understanding of distributed computing principles - Management of Hadoop cluster, with all included services - Ability to solve any ongoing issues with operating the cluster - Proficiency with Hadoop v2, MapReduce, HDFS - Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming - Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala - Experience with Spark - Experience with integration of data from multiple data sources - Experience with NoSQL databases, such as HBase, Cassandra, MongoDB - Knowledge of various ETL techniques and frameworks, such as Flume - Experience with various messaging systems, such as Kafka or RabbitMQ - Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O - Good understanding of Lambda Architecture, along with its advantages and drawbacks - Experience with Cloudera/MapR/Hortonworks
- Conduct thorough manual testing of software applications across various functionalities. - Develop and maintain automated test scripts using MSTest framework. - Identify and report bugs and defects through a bug tracking system. - Analyze test results, diagnose issues, and collaborate with developers to resolve them. - Participate in code reviews to identify potential defects early in the development process. - Stay up-to-date with the latest QA methodologies and best practices. - Contribute to the improvement of existing testing processes and documentation. - Work effectively within an Agile development environment. - Clearly communicate test findings and recommendations to technical and non-technical audiences. Qualifications : - Proven experience in manual testing methodologies (e.g., black-box testing, exploratory testing). - Expertise in developing and maintaining automated test scripts using MSTest. - Strong understanding of software development lifecycle (SDLC) and Agile methodologies. - Excellent analytical and problem-solving skills. - Ability to prioritize tasks, manage time effectively, and meet deadlines. - Strong written and verbal communication skills. - Experience with API testing is a plus. - Familiarity with other automation frameworks (e.g., Selenium) is a plus. Skills : - Test Automation (QA) and Manual testing
Roles And Responsibilities : - Application Development & Maintenance : Develop and maintain highly scalable enterprise-class applications using Java/J2EE technologies. - Full Lifecycle Contribution : Work on both building new applications/modules from the ground up as well as debugging, enhancing, and upgrading existing applications to meet evolving business needs. - Technical Leadership & Mentorship : Contribute significantly as an individual technical expert and mentor junior developers, fostering their growth and ensuring adherence to best practices. - Code Quality & Best Practices : Ensure the development of clean, efficient, and well-documented code that adheres to industry standards and design patterns. Required Skill Set : - Excellent knowledge of Core Java, J2EE, and XML. - Proven experience working on Spring and Hibernate frameworks. - Proficiency in MySQL or any other Relational Database Management Tool (e.g., PostgreSQL, Oracle SQL Server). - Exposure to any one of the major Application Servers (e.g., Apache Tomcat, JBoss, WebSphere, WebLogic). - Solid understanding and practical application of Design Patterns. - Good analytical skills to diagnose problems and propose effective solutions. - Self-driven and a strong team player with the ability to work independently and collaboratively. - Strong verbal and written communication skills for effective interaction with team members and stakeholders.
Key Responsibilities : - UI/UX Development : Design, develop, and implement responsive and intuitive user interfaces for web applications, ensuring an exceptional user experience. - Front-End Implementation : Write clean, efficient, and well-documented code using JavaScript, HTML, and CSS to bring UI/UX designs to life. - Framework Utilization : Hands-on working experience with MVC frameworks like Angular. js (and/or Angular 2+) to build scalable and maintainable front-end applications. - Backend Integration : Work with Express.js for backend integration, ensuring seamless communication between the frontend and backend services. - Styling & Responsiveness : Apply modern styling techniques, including Bootstrap and potentially Sass, to create visually appealing and responsive designs across various devices. - Tooling & Workflow : Utilize tools like Grunt and understand Node.js for efficient front-end development workflows. - Collaboration : Work closely with UI/UX designers, backend developers, and other stakeholders to translate design mockups and business requirements into functional user interfaces. - Problem-Solving : Identify and troubleshoot UI/UX related issues, ensuring optimal performance and user satisfaction. Required Skills & Qualifications : - 3-5 years of experience as a UI/UX Developer or Front-End Developer. - 2+ years of overall experience building web applications. - Programming expertise in JavaScript and HTML. - Strong hands-on experience with Angular.js (MVC framework). - Experience with Angular 2+ is highly preferred. - Proficiency with Bootstrap for responsive design. - Exposure to Sass, Grunt, and Node.js is a plus. - Excellent communication skills, both verbal and written. - Strong problem-solving and analytical skills. - BE/BTech/M.Tech in Computer Science or a related field
You have not uploaded your resume yet. in My Profile section to apply for any postion. Requirement Details. Job Summary: We are seeking a highly accomplished and dynamic leader to develop (set up), lead and shape our Offshore Development Centre (ODC) in India. This strategic leadership role will be responsible for defining and executing the technology vision for the ODC, ensuring alignment with the business objectives, driving innovation, and delivering high-quality, scalable, ODC set up. The ideal candidate will have a proven track record of building from scratch, leading, and mentoring large, high-performing teams in an offshore model, fostering a culture of excellence, and managing successful delivery for diverse ODC projects. This role is to set up and scale ODCs for our customers from US/EU/UK and NOT a captive ODC Key Responsibilities: Accelerate our ODCs business vertical with superlative customer experience and excellent, long term customer relationship management Research and mine our large customer base to initiate new ODC proposals; convert the same into business opportunities; execute the same with excellence. Identify and work with Sales and Marketing teams and other senior stakeholders to generate ODC opportunities from the market End-to-end responsibility for delivery, always at or above customer and stakeholder expectations; this includes understanding of the customer expectations of their technology needs, timelines, hiring, building and integrating teams, transitioning work from customer sites, providing cutting edge solutions to solve customer-market challenges all with deep sense of commercial acumen. End-to-end responsibility for the technology team management to ensure customers and organizations goals are met or exceeded Any other goals as required by the company from time to time. Skills and Track-Record Required: 12+ years of progressive experience in third party ODC/GCC environment with leading software/analytics/KPO organizations, with at least 5-8 years in a senior leadership role in developing from scratch and overseeing the business of an Offshore Development Centre right from proposal to transition to implementation and scale-up stages. Deep hands-on, proven digital transformation work covering Information/Data Science/AI tools, products, analytics, databases and services across Scientific Scholarly Publishing, STEM (science, technology, engineering and medical) and pharmaceutical data science/information/analytics track record Experts from other domains like BFSI/EdTech/Business Analytics etc., are welcome to explore the opportunity. Should have successfully handled client facing, leadership responsibilities with clients from US, UK and/or Europe; Direct customer site, leadership experience and end-to-end team management experience will be given due weightage. Successful transitioning experience of al-least few mid to large sized software/KPO/analytics projects is required. Demonstrated mid-to-senior level experience in mid-to-large AI-ML driven IT services organization/KPOs/Analytics businesses who have independently managed team sizes ranging from 100-200+ and upwards, starting from the drawing board. Excellent oral, written and presentation skills; with the required level of polish to deal with senior stakeholders within the company and at customers end. Ability and willingness to work hands-on, work hard, work long, independently and able to handle business pressures for the benefit of the organization. Sincere commitment to the professional career and the energy to work towards the companys growth objectives. Hands work in some or more technology domains: Advanced data science, Big Data analytics, AI/ML based, cloud agnostic, cloud computing, rapid visualization, large data modelling, data lakes, smart data validation frameworks, LLMs and domain specific language models and knowledge graphs; Direct experience across cloud-native and OS-agnostic frameworks, ensuring solutions are digitally agile, scalable, and easily integrated into any enterprise environment; relational databases like PostgreSQL and NoSQL databases; Elasticsearch, Java, Python, and C#. Fully life application development, delivery and management is essential. Qualifications: Education: Bachelors degree in Engineering, Technology, Business Administration, Operations Management, Information Technology, or a related field. Masters degree (e.g., MBA, Operations Management) is highly preferred. Certifications: in Lean, Six Sigma, PMP, or other relevant software operations/project management methodologies will be a plus. What We Offer: A critical and highly visible leadership role with direct impact on business success. Opportunity to develop, lead and shape the operational strategy of an ODC A collaborative, dynamic, and challenging work environment. Competitive compensation package with perks, depending on experience and skills. Qualification(s):
About Us We are a fast-growing SaaS company transforming the way scholarly publishers manage submission workflows. Our platform simplifies the author-to-editor-to-reviewer journey, enabling publishers, societies, organizers, and editorial teams to deliver a seamless, efficient, and transparent submission experience. With a deep understanding of academic publishing, we empower our clients to focus on what matters most: accelerating scholarly research. https://career.molecularconnections.com/job-openings/ About the Role As our Customer Support Manager , you’ll be the front line of support for our growing community of scholarly publishers, societies, associations, and conferences. You will lead and evolve our support function to ensure clients receive timely, empathetic, and technically sound assistance. You’ll be instrumental in building a high-touch, scalable support model that reflects our commitment to partnership, precision, and user trust. Key Responsibilities Manage day-to-day customer support operations, ensuring quick resolution and high satisfaction Develop and optimize support workflows, including ticketing, escalation, and reporting Recruit, onboard, and lead a growing support team as we scale Collaborate cross-functionally with Product, Engineering, and Sales to surface user feedback, resolve bugs, and improve usability Build, maintain, and expand a searchable knowledge base and self-service help center Implement systems to track KPIs such as CSAT, response/resolution times, and ticket trends Advocate for customer needs while balancing internal priorities Handle complex or sensitive customer escalations with empathy and efficiency Qualifications 3–5+ years in customer support, with at least 1–2 years in a managerial or team lead role Experience working in a SaaS or tech-enabled service environment; startup experience a plus Familiarity with support tools like Hubspot, Jira, Notion, or similar Clear, empathetic communicator, both written and verbal Strong organizational and problem-solving skills, with attention to detail A customer-first mindset with a deep appreciation for service excellence Bonus: Experience in the scholarly publishing industry or familiarity with journal submission platforms (e.g., Editorial Manager and ScholarOne) Why Join Us? Shape the future of scholarly communication at a mission-driven company Join a collaborative and intellectually curious team Work in a flexible, remote-friendly environment with competitive compensation Make a meaningful impact on the publishing process used by editors, researchers, and organizers globally
As a Data Engineer with over 4 years of experience, you will be responsible for designing, developing, and maintaining scalable data pipelines to facilitate efficient data extraction, transformation, and loading (ETL) processes. Your role will involve architecting and implementing data storage solutions such as data warehouses, data lakes, and data marts that align with the organization's business needs. It will be crucial for you to implement robust data quality checks and cleansing techniques to ensure data accuracy and consistency. Your responsibilities will also include optimizing data pipelines for enhanced performance, scalability, and cost-effectiveness. Collaboration with data analysts and data scientists to understand data requirements and translate them into technical solutions will be a key aspect of your role. Additionally, you will be required to develop and maintain data security measures to ensure data privacy and regulatory compliance. Automation of data processing tasks using scripting languages like Python and Bash, as well as big data frameworks such as Spark and Hadoop, will be part of your daily tasks. Monitoring data pipelines and infrastructure for performance, as well as troubleshooting any issues that may arise, will be essential. Staying up to date with the latest trends and technologies in data engineering, including cloud platforms like AWS, Azure, and GCP, will also be expected. Documentation of data pipelines, processes, and data models for maintainability and knowledge sharing, as well as contribution to the overall data governance strategy and best practices, will be integral to your role. Qualifications for this position include a strong understanding of data architectures, data modeling principles, and ETL processes. Proficiency in SQL (e.g., MySQL, PostgreSQL) and experience with big data querying languages like Hive and Spark SQL are required. Experience with scripting languages for data manipulation and automation, familiarity with distributed data processing frameworks like Spark and Hadoop, and knowledge of cloud platforms for data storage and processing will be advantageous. Candidates should also possess experience with data quality tools and techniques, excellent problem-solving, analytical, and critical thinking skills, as well as strong communication, collaboration, and teamwork abilities. Key Skills: Spark, Hadoop, Python, Windows Azure, AWS, SQL, HiveQL,
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