Description Job Objective: To contribute with strong problem- solving skills and process orientation on the projects independently. To help the team with the required training and mentor new joiners. Designation: Senior Business Analyst Job Location: Bangalore/Chennai Type of employment: Permanent Roles & Responsibilities: Provide insights through data analysis and visualization for small to large datasets Ability to translate a business questions into analytical problem to develop business r ules, process flow and methodology for analysis Ability to summarize the analysis using basic statistical methods Work with team to execute Adhoc/ Regular reporting projects Requirements: 2+ years of professional experience is required Must be well verse with MS Excel, Word and PowerPoint Technically: Must - Experience with working on database query language (SQL) Good to have - Python, VBA, any visualization tool (Tableau, Qlik, Power BI) etc. Hands on experience in data analytics. Dataset Knowledge: Must - Patient level data analytics (IQVIA LAAD, Symphony claims, Komodo claims) Good to have: Patient level data analytics (RWD Data Lake, Optum/ DRG Claims), IQVIA Sales data analytics Additional Skills: Ability to work independently across teams Passion for solving challenging analytical problems Ability to assess a problem quickly, qualitatively, and quantitatively Ability to work productively with team members, identify and resolve tough issues in a collaborative manner Should have good communication skills Qualifications B. E graduates are preferable
Description About Trinity Partners Commercial Analytics Sales Anlaytics: The Commercial Analytics group is part of our broader Insights & Analytics Group and provides three key offerings: demand forecasting, field operations, and analytics support. We provide actionable insights using unique analytical methods to successfully drive our clients commercial business strategy. We employ individuals with specialized skill sets and the right mix of business and technology expertise. Position Summary : We are looking for a talented, committed and energetic individual to join our Commercial Analytics team as an Associate Consultant focusing on our sales analytics offerings. The Associate Consultant is an integral member of project teams where he/she will work closely with internal project team members (associates, project managers and database developers). This individual will be responsible for building tools, assisting senior staff on projects, and clearly presenting methodology and outputs to internal management/ clients. The Associate Consultant will also be responsible for effectively communicating with every project team member including project managers on all matters related to project assignments. In this position, the Associate Consultant will be expected to multi-task across multiple projects and project types concurrently while maintaining a high degree of quality and accuracy. Position Responsibilities: Familiarity with sales analytics functions including but not limited to incentive compensation, field team size, structure, alignments, segmentation , targeting and sales force effectiveness. Good understanding of pharma and life sciences data and hands on experience building models for incentive compensation, size & structure, segmentation and targeting. Build tools and models to streamline best practices and improve quality and productivity through automation. Implement enabling technologies and tools to automate and streamline methodology Provide ongoing support for existing tools / engagements. Assist in creating and implementing quality control best practices. Assist senior staff in providing best in class support to clients across projects and maintain communication to ensure that internal and external timelines are met. Communicate with clients when applicable Work closely with other functions at Trinity including but not limited to strategic advisory, market research, statistics, commercial data solutions, etc. Support strategic and operational initiatives as assigned Qualifications Position Requirements: Education: BS, MS or MBA in scientific, quantitative, business, or other relevant fields Work Experience: 1-3 years of work experience in field force planning, sales force effectiveness, brand analytics, incentive compensation or related area. Experience/familiarity with life sciences data and sales analytics is preferred. Experience in the sales analytics space is a must specifically including sales force sizing/structure/alignment, targeting optimization, incentive compensation design and administration. Other Skills : Superb internal and external communications skills (verbal and written) Self-motivation, initiative, innovation, and appropriately independent Strong service-oriented work ethic and willing to go above the call of duty Excellent problem-solving skills, analytical skills and attention to detail Strong team player with experience working in project-team environments Ability to multi-task on multiple project types effectively in a fast-paced, deadline driven environment Extensive experience with MS Office Suite (Excel & PowerPoint) and familiarity with SQL processes Positive and collaborative attitude along Self-awareness and high emotional intelligence (EQ)
Description Position Summary : The Consultant Forecasting role is for an integral member of project teams working closely with management and other team members. We are looking for a driven, committed, and energetic individual who will be responsible for building forecast models, and clearly presenting forecast models and outputs to internal management and clients. The Consultant is also responsible for effectively communicating with every project team member including project managers on all matters related to project assignments. In this position, the Consultant is expected to multi-task across multiple projects and project types concurrently while maintaining a high degree of quality and accuracy. Position Responsibilities : Implement forecast model builds and execute forecasting activities Deliver engagement outcomes to clients, exercising sound business judgment, proactively following up on tasks as needed and managing tasks through to completion Work within Trinity s proprietary forecast platform environment to create customized forecast platforms for clients Assist senior staff in providing support to clients when applicable Assist in creating and implementing quality control best practices Work closely with other functional experts at Trinity including market research, data solutions,statistics, etc. Develop client-ready forecasts and supporting materials independently and clearly present findings Establish timelines for internal and external deliverables related to a project workstream Communicate internally to keep all team members in the loop with project status Support strategic and operational initiatives as assigned Qualifications Position Requirements: Education: BS or MS in quantitative, business, or other related fields Work Experience: 3-5 years of work experience in life sciences forecasting. Experience/familiarity with life sciences data and analytics is preferred. Other Skills: Excellent problem-solving skills, analyticalskills and attention to detail Proficient with MS Excel (knowledge of VBA is preferred) Superb internal and external communications skills(verbal and written) Self-motivation, initiative, and innovation Strong, service-oriented work ethic and willing to go above the call of duty Internal leadership and mentorship Strong team player with experience working in project-team environments Ability to multi-task on multiple project types effectively in a fast-paced environment
Description Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes. Designation: Associate Consultant Job Location: Bangalore/Chennai Type of employment: Permanent Key Skills : Python , machine Learning, Deep Learning(Neural Networks, RNN, LSTM, Transformer) , Good Understanding of NLP, Transformer models and their internal architecture/working , TensorFlow / Keras/Pytorch. Responsibility : Research & develop business use cases where we can integrate LLM efficiently. Conduct research to identify opportunities for integrating Large Language Models (LLMs) into various business use cases. Stay up-to-date with the latest advancements in AI, machine learning, and natural language processing (NLP). Experiment with cutting-edge AI technologies and algorithms to solve complex problems. Collaborate with cross-functional teams to identify and implement opportunities for integrating LLMs into various business processes and applications. Evaluate the performance of machine learning and deep learning models and fine-tune them for better accuracy and efficiency. Implement best practices for model optimization and hyperparameter tuning. Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward. Discover and investigate open-source models that can be utilized for specific tasks, such as summarization and sentiment detection. Proficiency in creating data pipelines. Experience: 4 to 5.5 years Additional skills: Hands on experience with Generative Models (OpenAI / Open-source models). Hands on experience with LLM Frameworks like LangChain and Llama Index. Hands on experience in building applications and solutions using Large Language Models. Must have expertise in Python Language. Expertise in Prompt Engineering. Good to have experience in LLM Fine tuning. Good to have experience with Azure Cloud computing. Qualifications Requirements: Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education 4+ years of work experience on analytic work. Should be inquisitive and have a learning mindset Willingness and ability to experiment with new tools and techniques Strong analytical skills, excellent communication skills and the ability to communicate actionable analytical findings
Description The Associate Consultant Forecasting is an essential member of the project team, supporting the development of forecast models, analysing data from different sources and contributing to client deliverables. This role is ideal for a motivated and detail-oriented individual with a foundational understanding of forecasting and analytics in the life sciences domain. The Associate Consultant will work under the guidance of senior team members to build models, analyse data, and prepare client-ready outputs, while gaining exposure to a variety of project types and methodologies. Position Responsibilities Assist in building and maintaining forecast models under the supervision of senior members of the team. Work on creating best practices and modules to help standardize forecasting across Trinity Support the execution of forecasting activities and contribute to the development of client deliverables. Work on Trinity s proprietary forecast platform to help create customized solutions. Collaborate with cross-functional teams within Trinity. Prepare and format data inputs and outputs for forecast models. Participate in internal quality control processes to ensure accuracy and consistency. Communicate project updates and progress to internal team members or clients as per requirement. Contribute to internal knowledge sharing and documentation efforts. Manage assigned tasks across multiple projects while meeting deadlines and maintaining quality. Qualifications Position Requirements Education: BS or MS in quantitative, business, or other related fields Work Experience: 1-3 years of work experience in life sciences forecasting, analytics or related areas. Experience/familiarity with life sciences data and analytics is preferred. Other Skills : Strong analytical and problem-solving skills with attention to detail. Proficient in MS Excel (knowledge of VBA is preferred) Effective written and verbal communication skills Eagerness to learn and take initiative in a fast-paced environment. Strong team player with experience in collaborative, project-based environments Strong organizational skills and ability to manage multiple tasks simultaneously. Self-motivated with a proactive approach to learning and development
Description Job Title: GenAI Application Engineer (Associate Consultant) Location: Bangalore / Chennai / NCR (Hybrid) Experience: 3.5 to 5.5 years Employment Type: Full-time Job Objective: We are seeking a highly skilled and motivated GenAI Application Engineer with a strong foundation in traditional Machine Learning (ML) and hands-on experience in Generative AI (GenAI). The ideal candidate will contribute to the design, development, and deployment of AI-driven solutions across business use cases. Key Responsibilities: Design and implement ML models including regression, classification, clustering, and optimization algorithms. Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation. Collaborate with cross-functional teams to identify opportunities for AI integration into business processes. Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex). Fine-tune and optimize models for performance, scalability, and accuracy. Develop and maintain robust data pipelines and workflows. Stay updated with the latest advancements in AI, ML, and NLP. Required Skills: Strong programming skills in Python. Solid understanding of traditional ML models and statistical techniques. Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases. Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace). Familiarity with prompt engineering and LLM fine-tuning. Exposure to cloud platforms (Azure preferred). Qualifications Preferred Qualifications: Master s degree in Computer Science, Data Science, Engineering, or related field. Experience in the life sciences or healthcare domain is a plus. Strong communication and stakeholder management skills. Ability to work in a fast-paced, collaborative environment.
Description Job Title: GenAI Application Engineer (Consultant) Location: Bangalore / Chennai / NCR (Hybrid) Experience: 3.5 to 5.5 years Employment Type: Full-time Job Objective: We are seeking a highly skilled and motivated GenAI Application Engineer with a strong foundation in traditional Machine Learning (ML) and hands-on experience in Generative AI (GenAI). The ideal candidate will contribute to the design, development, and deployment of AI-driven solutions across business use cases. Key Responsibilities: Design and implement ML models including regression, classification, clustering, and optimization algorithms. Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation. Collaborate with cross-functional teams to identify opportunities for AI integration into business processes. Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex). Fine-tune and optimize models for performance, scalability, and accuracy. Develop and maintain robust data pipelines and workflows. Stay updated with the latest advancements in AI, ML, and NLP. Required Skills: Strong programming skills in Python. Solid understanding of traditional ML models and statistical techniques. Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases. Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace). Familiarity with prompt engineering and LLM fine-tuning. Exposure to cloud platforms (Azure preferred). Qualifications Preferred Qualifications: Master s degree in Computer Science, Data Science, Engineering, or related field. Experience in the life sciences or healthcare domain is a plus. Strong communication and stakeholder management skills. Ability to work in a fast-paced, collaborative environment.
Description Job Objective: The Senior Semantic Modeler will be responsible for designing, developing, and maintaining Semantic models using platforms like CubeDev, HoneyDew, AtScale, and others. This role requires a deep understanding of Semantic modeling principles and practices. The ideal candidate will work closely with data architects, data engineers, and business stakeholders to ensure the accurate and efficient representation of data for Generative AI and Business Intelligence purposes. Experience with graph- based semantic models is a plus. Designation : Product Architect - Semantic Modelling Job Location: Bangalore Type of employment: Permanent Key Responsibilities: Design and develop Semantic data models using any of the Semantic layer platforms such as CubeDev, HoneyDew, AtScale, etc. Create and maintain Semantic layers that accurately represent business concepts and support complex querying and reporting. Work closely with stakeholders to understand data requirements and translate them into semantic models. Collaborate with data architects and engineers to integrate semantic models with existing Gen AI & BI infrastructure. Ensure the semantic models align with business needs and support data governance policies. Design & define key business metrics within the semantic models to ensure consistent and accurate reporting across the organization. Collaborate with business stakeholders to identify and document metric definitions, ensuring clarity and alignment with business goals. Develop and implement processes for metric validation and verification to ensure accuracy and reliability. Monitor and maintain the performance of metrics within the Semantic models, addressing any issues or discrepancies promptly. Develop and implement efficient queries and scripts for data retrieval and analysis. Conduct regular reviews and updates of semantic models to ensure they remain current and effective. Provide guidance and expertise on Semantic technologies and best practices to the development team. Perform data quality assessments and implement improvements to ensure data integrity and consistency. Stay up to date with the latest trends and advancements in Semantic technologies and incorporate relevant innovations into the modeling process. Secondary responsibilities may include designing and developing graph- based semantic models using RDF, OWL, and other semantic web standards. Create and maintain ontologies that accurately represent domain knowledge and business concepts. Requirements: Bachelors or Master s degree in Computer Science, Information Systems, Data Science, or a related field. Minimum of 6+ years of experience in Semantic modeling, data modeling, or related roles. Proficiency in any of the Semantic modeling platforms such as CubeDev, HoneyDew, AtScale, etc. Strong understanding of data integration and ETL processes. Familiarity with data governance and data quality principles. Strong analytical and problem- solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience with graph- based semantic modeling tools such as Prot g , Jena, or similar is a plus. Functions skills: Experience in Lifesciences commercial analytics industry is preferred and familiarity with industry- specific data standards. Knowledge of Gen AI overview and frameworks would be plus. Certification in BI semantic modeling or related technologies. Qualifications B. E Graduates are preferrable.
Description About Trinity Partners Commercial Analytics Sales Anlaytics: The Commercial Analytics group is part of our broader Insights & Analytics Group and provides three key offerings: demand forecasting, field operations, and analytics support. We provide actionable insights using unique analytical methods to successfully drive our clients commercial business strategy. We employ individuals with specialized skill sets and the right mix of business and technology expertise. Our clients: We partner with life sciences clients at all organizational layers and across various functions: marketing, sales, market access, and commercial operations along with finance and medical affairs. Our customized and integrated approach are proven to drive value across all project types. Position Summary : We are looking for a talented, committed and energetic individual to join our Commercial Analytics team as an Associate Consultant focusing on our sales analytics offerings. The Associate Consultant is an integral member of project teams where he/she will work closely with internal project team members (associates, project managers and database developers). This individual will be responsible for building tools, assisting senior staff on projects, and clearly presenting methodology and outputs to internal management/ clients. The Associate Consultant will also be responsible for effectively communicating with every project team member including project managers on all matters related to project assignments. In this position, the Associate Consultant will be expected to multi-task across multiple projects and project types concurrently while maintaining a high degree of quality and accuracy. Position Responsibilities: Familiarity with sales analytics functions including but not limited to incentive compensation, field team size, structure, alignments, segmentation , targeting and sales force effectiveness. Good understanding of pharma and life sciences data and hands on experience building models for incentive compensation, size & structure, segmentation and targeting. Build tools and models to streamline best practices and improve quality and productivity through automation. Implement enabling technologies and tools to automate and streamline methodology Provide ongoing support for existing tools / engagements. Assist in creating and implementing quality control best practices. Assist senior staff in providing best in class support to clients across projects and maintain communication to ensure that internal and external timelines are met. Communicate with clients when applicable Work closely with other functions at Trinity including but not limited to strategic advisory, market research, statistics, commercial data solutions, etc. Support strategic and operational initiatives as assigned. Qualifications Position Requirements: Education: BS, MS or MBA in scientific, quantitative, business, or other relevant fields Work Experience: 1-3 years of work experience in field force planning, sales force effectiveness, brand analytics, incentive compensation or related area. Experience/familiarity with life sciences data and sales analytics is preferred. Experience in the sales analytics space is a must specifically including sales force sizing/structure/alignment, targeting optimization, incentive compensation design and administration. Other Skills: Superb internal and external communications skills (verbal and written) Self-motivation, initiative, innovation, and appropriately independent Strong service-oriented work ethic and willing to go above the call of duty Excellent problem-solving skills, analytical skills and attention to detail Strong team player with experience working in project-team environments Ability to multi-task on multiple project types effectively in a fast-paced, deadline driven environment Extensive experience with MS Office Suite (Excel & PowerPoint) and familiarity with SQL processes Positive and collaborative attitude along Self-awareness and high emotional intelligence (EQ)
Description Participate in ongoing product development, and implement changes that affect operational support of product. Identify ways to utilize analytics and technology to improve benchmark product offerings Take leadership role on projects and collaborate with internal stakeholders Identify client opportunities and/or challenges during the benchmarking / VHow process. Hands on role of providing analysis and delivering benchmarks and VHows. o A VHow is a survey distributed to our customers to capture data on how other companies are accessing an industry topic Provide leadership to team. This will include: Manage and implement innovation by identifying impacts to underlying processes and deliverables and ensuring timely roll out of changes. Manage and monitor workload of team and allocate projects to meet project timelines If manager has direct reports, provide career development to them by communicating performance feedback and assigning projects that will assist with their growth Qualifications Bachelor s degree 5 to 10 years of professional experience based on a combination of pharmaceutical industry experience and/or operations & analytics experience. Prior expertise should include hands on analytical roles using diverse datasets to generate insights for clients. Demonstrate leadership aptitude through project management Proven leadership and the ability to think strategically and set direction for products and services. Strong expertise in Microsoft Office tools: Excel, PowerPoint, Word. Understanding of market research concepts, and survey design and implementation, and strong writing skills. Experience with survey tools, data visualization tools, and CRM tools Developing Standard Operating Procedures
Description Job Objective: To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes. Experience: 6 to 9 Years Required Skills: Deep understanding of Statistics and experience with Machine Learning algorithms/Techniques. Proven Programming skills in Particular R/SQL and Python, Strong experience with DL frame works such as TensorFlow, Theano and Others. Scientific Expertise and real-world experience in Deep learning (Convolutional neutral networks, restricted Boltzmann Machines and Deep neutral networks. Passion for solving challenging analytical problems. Ability to quickly, quantitively, and qualitatively assess a problem. Ability to work productively with team members, identify and resolve tough issues in a collaborative manner. Experience in applying Machine learning techniques to real world problems in a production environment. Roles and Responsibilities: Design, develop and deliver AI/Machine learning enabled solutions for our industry specific data analytics platform. Build scalable, available and support process to collect, Manipulate, present, and analyse large datasets in a production environment. Articulate Problem definition and work on all aspects of data including acquisition, exploration/Visualization, Feature engineering with ML algorithms and deploying models. Develop working prototypes of algorithms, evaluate, and compare metrics based on the real-world data sets. Provide design input specifications, requirements, and guidance to software engineers for algorithms implementation for Solution/Product development. Qualifications Qualifications: Minimum 6 years of profession Life Science/Pharma experience is required Degree in Applied Maths, Statistics or Machine learning techniques or Computer Science. Ph.D. /MS is preferred.
Description Create and implement security practices & tools within CI/CD pipelines where applicable to integrate security into the DevOps lifecycle. Identify, evaluate, and remediate security vulnerabilities in applications and infrastructure. Design, develop, & implement solutions to address infrastructure & security requirements. Develop, manage & integrate into CI/CD pipelines automated security testing processes. Oversee security incidents, including monitoring, analysis, and response. Align security practices with project goals in development, operations, & security teams. Set up and manage security monitoring tools and processes. Ensure team creates and maintains comprehensive documentation of security practices, procedures, and incidents. Provide training & guidance to team on security best practices & emerging threats. Be apprised of latest developments in DevSecOps & Cloud to keep the DevSecOps processes current and relevant. Build and support a team of DevSecOps Engineers Qualifications At least 5 years of proven work experience in DevSecOps, security engineering, or a related field. At least 3 years of people management experience. Bachelor s degree in computer science, Information Security, Physics, Mathematics, or a related technical field. Good understanding of security principles, tools & practices for experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD). Proficiency in scripting languages (e.g., Python, Bash). Knowledge of security practices for AWS, Azure , and GCP. Expertise in vulnerability scanning and assessment tools, such as Snyk and InsightAppSec, and familiarity with security services like Wiz, SIEM, SOC, and SentinelOne. Skills in managing security incidents and conducting threat analysis. Familiarity with configuration management tools. Knowledge of API Security, Container Security, and AWS Cloud Security. Understanding compliance standards and policies such as, HIPAA, SOC2, GDPR, and CCPA, including related certification and audit processes. Strong communication skills, with the ability to effectively convey complex security concepts to technical and non-technical stakeholders. Continuously monitor security controls for all IT Security frameworks Other Skills Relevant security certifications such as CISSP, CEH, AWS Certified Security Specialty. Experience with security frameworks and standards (e.g., NIST, OWASP). Skills in penetration testing and ethical hacking. Experience with DevOps tools (e.g., Docker, Kubernetes). Master s degree in Cybersecurity, Computer Science, Information Security, or a related field.