Description Coordinating and tracking project data and documentation throughout project lifecycle, including but not limited to: Drafting and submitting Statements of Work and project change orders for signature & tracking through completion Collecting and recording project information into data capture forms for project creation; inputting updates as necessary Compliance documentation support (Non-Disclosure Agreements, Master Service Agreements, Third Party Agreements) Purchase Order tracking Entering and maintaining employee project assignments in timesheet and utilization tracking systems Acting as liaison between other Operations teams to ensure project requests are being completed within specified timeframes Qualifications Education BS or BA degree preferred Experience 0-2 years of project coordination or project management experience or a degree in related field. Proficient at meeting concurrent deadlines across international time zones, and working on multiple projects in a fast-paced and challenging environment Exceptional written, oral and interpersonal communication skills with cross-functional and senior stakeholders Excellent attention to detail as well as organizational, planning and time management skills. Proficient in Excel, PowerPoint, and Word; experience with Salesforce or other project management software a plus. Show more Show less

Description Description Design and deliver engaging and impactful learning solutions aligned with organizational goals and objectives. Act as the secondary liaison for new hires at Trinity, ensuring a seamless onboarding experience. This includes supporting both lateral and campus onboarding plans and taking end-to-end ownership of the process. Facilitate interactive workshops, training sessions, and leadership development programs utilizing diverse instructional methodologies. Conduct needs assessments and gap analyses to identify learning needs and development opportunities across various levels and functions. Partner with internal stakeholders and subject matter experts to create and curate high-quality learning content and resources. Proficiency in learning management systems (LMS), e-learning authoring tools, and other technology platforms. Utilize LMS and other technology platforms to manage course logistics, track learner progress, and measure program effectiveness. Demonstrates excellent problem-solving skills, offering relevant solutions, and generating innovative ideas to implement best-in-class learning and development practices. Actively participates in the enhancement and refinement of existing training programs, contributing innovative ideas and learning initiatives to continuously upskill and develop the employee skillset. Independently or collaboratively create learning program content to address both immediate and long-term business requirements. Oversee the full lifecycle of learning programs, from inception to execution, employing robust project management methodologies. Continuously seek enhancements for training content and methodologies. Contribute to other L&D responsibilities and special initiatives as required, including Diversity, Equity, and Inclusion (DEI) efforts and fostering a positive organizational culture through various events. Ability to work with global counterparts across US and EU regions, demonstrating awareness and respect towards other cultures, and adapting to different working styles. Stay abreast of industry trends, best practices, and emerging technologies in learning and development to drive innovation and continuous improvement. Qualifications Work Experience: Minimum of 3-5 years of progressive experience in learning and development, training, and organizational development roles, preferably experience in consulting, healthcare or pharmaceutical industries or similar environment. Show more Show less

Description 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) Show more Show less

Description 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 Show more Show less

Description Associate Director - Real World Evidence Develop/ design analysis plans and perform analyses using R/SQL/ python, on administrative claims, survey, and sales data Work on multiple projects simultaneously end to end with other teams with minimum support from MT/ LT. Communicate methods/ analytics approach and findings to internal teams as well as to clients Gain methodological/ analytics approach expertise by aiding in proposal development as needed. Support/ provide inputs for analytics product development activities with product development team. Support/ Own product development efforts for single/ multiple modules of product. Understands the 'contextual why' each piece of the analysis plan needs to be included in order to meet the client needs/business objectives; can explain why each discrete task is needed and plays a key role in outlining the discrete tasks needed to meet the needs/objectives. Identifies gaps in analysis plan and data limitations as project progresses, and communicates effectively with project leaders to ensure resolution Engage in analysis plan gap discussion and brainstorm around Plan B solution. Write quality codes using R/ Python/ SQL that is efficient and reusable. Review codes/ analysis outputs/ project documents etc. of junior team members, provide them valuable feedback and mentor/ coach them on best practices around it. Clearly resolves high risk and challenging client situations on projects and at account level Influences clients as a strategic thought partner; defines objectives in situations of ambiguity, leverages market and client knowledge to solve needs Develops innovative visuals, graphics, and schematics to present information both internally and externally Contributes strategically to educate both the client and the internal team on technical and/or contextual topics Develops innovative and insightful ways to tell a compelling story, including bridging work across capability areas Qualifications Education: MS or PhD in Mathematics, Statistics or Biostatistics/ Bachelors in any discipline. Work Experience: 12+ years direct work experience in a related field (life sciences consulting, CRO, biopharma and/or general consulting) conducting advanced analytics. Show more Show less

Description Description Position Summary: Managers combine best-in-class analytic skills with strong problem-solving and communication abilities to help clients solve strategic and tactical business problems. Managers are skilled at all aspects of project execution with the ability to prepare client-ready materials with limited oversight / guidance from project managers. They are expected to independently manage specific tasks / workstreams within projects and mentor junior team members. Managers may work on multiple projects simultaneously and lead a small team in each one of them. Position Responsibilities: Ensures development of a successful project / workstream plan after high level direction from the senior project lead with a clear understanding of project objectives Takes ownership of methodology instrument design for market research projects to address key objectives based on high level guidance provided by senior project team member Translates understanding of brand strategy and client needs & beliefs into likely hypotheses, and ensures analytical approach is effective in testing hypotheses to find most relevant insights Anticipates potential challenges in analysis and proactively works with team to figure out a mitigation strategy Demonstrates creative flexibility and innovation to modify design approach as necessary with more abstract client feedback or changing business project objectives Is able to use the prior experience to apply advanced statistical knowledge (CHAID, Choice modeling, Clustering, kNN, Regression etc.) to solve a business problem Ensures that team members are able to execute the analysis with right analytical approach and proper quality check guidelines Proactively creates good processes and automation set ups to increase the efficiency and quality of the deliverables Responsible for quality of entire team and all materials; double-checks all project materials and analysis provided from other team members Maintains focus on strategic implications of analytical insights, and effectively guides junior team member(s) to achieve necessary depth and breadth of insights Ensure client needs and preferences are incorporated into slide development; customizes report to audience and format of presentation when developing deliverables Guides development of new slide frameworks and visual templates that can present key data / insights powerfully Sends timely and thoughtful responses to client/leadership requests, questions, and needs Presents project findings & recommendations to clients in a compelling and engaging way (when appropriate based on client presentation preferences) Responsible for professional development, engagement and coaching of junior team members Teaches best practices to junior team members for structured written and verbal communication Demonstrates a desire and willingness to learn, and learns for all interactions and team members on a project/team Adapts working style as needed, developing strong collaboration and trust across team members Demonstrates good judgement across all interactions, and a respect for all team members internally and externally Qualifications Education: A bachelor or master’s degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Economics, Management Science, Data Science, Statistics, or Engineering will be preferred Manager - Minimum 5 years of experience in Market Research and marketing consulting work. Knowledge of US healthcare market will be a plus Experience in execution of advanced analytical methods – CHAID, Hypothesis Testing, A/B testing, CART, Regression, Clustering, Factor Analysis, MNL, Choice Modeling, kNN, K-means, Predictive analysis, Generalized Linear Models etc. Knowledge of tools/programming platforms – Sawtooth, R, SAS, SPSS, Advanced Excel, Advanced Powerpoint Experience in writing surveys and discussion guides with knowledge of biases and ways to make instruments easier for respondents Evidence of leading and managing teams/projects Evidence of strong oral and written communication Evidence of working in a fast-paced versatile environment Comfort and flexibility with ambiguity Strong attention to detail with a quality focused mindset Evidence for high motivation and good professional attitude/work ethics Show more Show less

Description 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 Show more Show less

Description 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 Roles & Responsibilities: Conduct simple and advanced data analysis to help clients make good business decisions Work with project leadership to define project scope and manage end to end implementation Apply advanced statistical, econometric, optimization models and algorithms to real-world business problems. Develop new statistical models as well as provide analysis using existing models. Maintain the highest standards to follow the best practices and trending analytics in pharma domain Work with internal business teams to understand problem statement, requirements and use cases Excellent Problem Solving & Quantitative skills, Hands on experience on Python/R/SAS Experience in tools like Pyspark, SQl, Big Query Ability to create a model & simulation tool from scratch Should be comfortable interacting and managing stakeholders both external and internal Should be good in project management and ensuring timelines and quality is met Qualifications Requirements: Masters in Statistics, Marketing, Finance, Operations research, Engineering, or equivalent full-time education 4+ years of work experience on analytic work (use of advanced modelling projects and tools such as R, Python etc.). Knowledge of promotional channels and digital analytics. 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 Familiarity with the application of analytics to sales, marketing, or managed markets problems Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment Should have sound experience in data mining and data analysis Strong conceptual & working knowledge of Statistical models Ability to maintain personal composure and tactfully handle difficult situations Show more Show less

Description 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 Show more Show less

Description 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 Show more Show less

Description Description Processing India Payroll : Primary focus on India payroll, with exposure to other payrolls (US, Canada, UK and Germany). Calculate employees' pay based on days worked, deductions, taxes, and benefits. Including processing Full Final Settlement payments. Partner with the India payroll provider to ensure information is processed accordingly. Maintaining Records: Keep accurate records of employee attendance, leave, and other relevant data, while keeping information confidential. Compliance : Partner with the payroll provider to ensure compliance with local and state laws, including statutory requirements such as Provident Fund (PF), Employee State Insurance (ESI), and Tax Deducted at Source (TDS). Handling Inquiries: Respond to employee inquiries related to payroll, benefits and payroll tax concerns. Partnering with the India HR to ensure inquiries are handed timely and promptly. Reconciliation : Perform payroll audits to ensure all information is processed correctly by the payroll provider, coordinate with Human Resources and the payroll provider to rectify any discrepancies and ensure timely payouts to employees. Reporting: Prepare and provide necessary reports to internal departments upon request and partner with the payroll provider to ensure reports are sent to any regulatory tax authorities. Qualifications Experience : At least 3-5 years of experience in an India payroll role. Skills: Proficiency in payroll software, strong organizational skills, attention to detail, and excellent communication abilities. Able to work in a fast-paced environment. Show more Show less

Description Description Conduct general secondary research activities such as review of clinical guidelines, epidemiology sources, treatment algorithms, product’s reimbursement status across key markets. Perform literature data search from multiple databases, including PubMed and EMBASE. Execute review of selected publications, including quality control with second reviewer, while being able to extract relevant data. Perform statistical analysis for the meta-analysis based on the feasibility assessment. Perform meta-analysis based on data quality and availability, including plot generation (nice to have). Utilize research and review findings to lay the foundation for value dossier development. Review and analyze previous value dossiers, while developing draft value frameworks, and adapting these at the regional and local level. Analyze and synthetize primary and secondary research data to feed into the development of a value dossier and related guidance / tool-kit materials. Support execution of primary research programs (e.g., focus groups, IDIs) to pressure test, inform value story development, and exploring opportunities to investigate value proposition from competition. Qualifications Bachelor’s degree with high academic achievement; major in health sciences, Economics, HEOR, and/or demonstrated interest in life sciences is a plus. 3 to 5 years of research experience in consulting, research organizations or related fields – medical writing background preferred. Strong oral and written communication skills in English language. Ability and knowledge in use PubMed/ Medline, Google Scholar, other literature research platforms. Show more Show less

Description Description Position Summary We are currently seeking a Research Associate to support Trinity’s Evidence, Value, Access, and Pricing (EVAP) teams with research activities spanning several adjacent areas: Payer / HTA and pricing analysis, life science-related landscape research, targeted and systematic literature review, and research relating to value dossier development. Position Responsibilities Analyze and extract data and insights from global health technology assessment (HTA) reports. Update Trinity’s HTA Vision tool accordingly, and create summary slides as required. Scan new HTA reports, draft alerts and upload new reports into the tool. Conduct US payer analysis, understanding US payer nuances (e.g., payer prior authorization and tiering), and related access considerations; ASP & WAC price tracking; extraction of key utilization management criteria from payer policies. Conduct life science-related secondary research activities as required including analysis of epidemiology sources, clinical literature, treatment guidelines, and product reimbursement sources across key markets. Draw from these to develop treatment algorithms and treatment practice and other summaries. Perform literature searching from multiple databases, including PubMed and EMBASE. Review clinical guidelines and literature – analyzing them to develop clinical algorithms and inform treatment practice and other summaries. Use research findings to contribute to value dossier development or other landscape analyses. Assist in the development of primary research instruments. Synthesize research findings into slides, including development of insights, hypotheses and visualizations. Develop logical, clear and visually impactful communication materials. Qualifications Bachelor’s degree or master’s degree with high academic achievement and demonstrated interest in life sciences 1-3 years’ research experience in consulting, life sciences or related fields Ability to use PubMed/ Medline, Google Scholar, and/or other literature research platforms Proficiency in MS Office Suite (Microsoft Word, PPT, and Excel) Knowledge and understanding of pricing and access systems and HTAs in Europe, USA, and other global markets Desirable Major in public health, health policy or health economics Experience in systematic review methods and primary research design Show more Show less

Description Description Position Responsibilities: Lead analysis of secondary and primary data to generate meaningful value, access, pricing insights and recommendations for our clients (biopharmaceutical / pharmaceutical companies), including both qualitative(e.g., IDIs, focus groups, ad-boards) and quantitative project work. Support team members both coordinating and guiding the work of more junior staff members and effectively communicating as a partner to project managers and leadership. Create and present client-ready materials, including research materials, interim deliverables, and final project reports. Provide thought leadership in evidence strategy in both client- and non-client-related activities (e.g., external conferences). Train and mentor more junior staff on project case teams, in internal training efforts, and through formal / informal mentorship. Support business development activities (e.g., proposal writing) as training for future role as a BD lead. Support the growth of the EVAP function through involvement in internal initiatives focused on consultant’s professional development, training, resources. Qualifications Position Requirements: Bachelor’s degree with high academic achievement; major in health sciences, Economics, HEOR, and demonstrated interest in life sciences is a plus. 5-7 years as a top performer within a top-tier biopharmaceutical / pharmaceutical strategy/ consulting firm serving industry leading clients. Working knowledge of essential and advanced consulting methodologies, tools, and techniques. Deep knowledge of key healthcare markets and archetypes (with focus on US, EU, and other HTA-oriented countries) and trends within the industry. Excellent analytical skills and numeric capability. Strong oral and written communication skills in English language. Ability using PubMed / Medline, Google Scholar, research platforms to source reimbursement and HTA data. Show more Show less

Description Description Serve as the main client point of contact for EVAP project engagements and internal team lead. Liaise with leadership and project team to ensure project outputs include strategically sound and actionable recommendations and answers to value, access, pricing client business questions, both high level and nuanced based on project type. Support team members as a workstream lead, both coordinating and guiding the work of more junior staff members and effectively communicating as a partner to project managers and leadership. Create and present client-ready materials, including research materials, interim deliverables, and final project reports. Provide thought leadership in evidence strategy in both client- and non-client-related activities (e.g., external conferences). Train and mentor junior staff on project case teams, in internal training efforts, and through formal / informal mentorship. Supports business development through creation of project proposals, including ability to design project methodology, timeline, and budget. Support the growth of the EVAP function through involvement in internal initiatives focused on consultant’s professional development, training, resources. Qualifications Bachelor’s degree with high academic achievement; major in health sciences, Economics, HEOR, and demonstrated interest in life sciences is a plus. 8+ years as a top performer within a top-tier biopharmaceutical / pharmaceutical strategy consulting firm serving industry leading clients. Working knowledge of advanced consulting methodologies, tools, and techniques – with focus on: Evidence Generation, Strategy, & Planning; Value Demonstration: RWD (Real World Data) / Claims Primary Research; Systematic Reviews; Value Dossiers & HECON (Health Economics) Models; Scientific Publications Show more Show less

Description Description Data Pipeline solutions based on the requirements and incorporating various optimization techniques based on various sources involved and data volume. Understanding of storage architectures such as Data Warehouse, Data Lake, and Lake houses Deciding tech stack and development standards, proposing tech solutions and architectural patterns and recommending best practices for the big data solution Providing thought leadership and mentoring to the data engineering team on how data should be stored and processed more efficiently and quickly at scale Ensure adherence with Security and Compliance policies for the products Stay up to date with evolving cloud technologies and development best practices including open-source software. Work in an Agile Environment and provide optimized solutions to the customers and JIRA for project management Proven problem-solving skills with the ability to anticipate roadblocks, diagnose problems and generate effective solutions Analyze market segments and customer base to develop market solutions Experience in working with batch processing / real-time systems using various Enhance/Support solutions using Pyspark/EMR, SQL and databases, AWS Athena, S3, Redshift, Lambda, AWS Glue, and other Data Engineering technologies. Proficiency in SQL Writing, SQL Concepts, Data Modelling Techniques, Data validation, Data quality check & Data Engineering Concepts Proficiency in design, creation, deployment, review and get the final sign off from the client by following the best practices in SDLC of existing and new products. Experience in technologies like Databricks, HDFS, Redshift, Hadoop, S3, Athena, RDS, Elastic MapReduce on AWS or similar services in GCP/Azure Scheduling and monitoring of Spark jobs using tools like Airflow, Oozie Familiar with version control tools like Git, Code Commit, Jenkins, Code Pipeline Work in a Cross functional team along with other Data Engineers, QA Engineers, and DevOps Engineers. Develop, test, and implement data solutions based on finalized design documents. Familiar with Unix/Linux and Shell Scripting Qualifications Experience: 4-7 years of experience Excellent communication and problem-solving skills. Highly proficient in Project Management principles, methods, techniques, and tools Minimum 2 to 4 years of working experience in Pyspark, SQL, AWS development Experience of working as a mentor for junior team members Hands on experience in ETL process, performance optimization techniques are a must Candidate should have taken part in Architecture design and discussion Minimum of 4 years of experience in working with batch processing/ real-time systems Using various technologies like Databricks, HDFS, Redshift, Hadoop, Elastic MapReduce on AWS, Apache Spark, Hive/Impala and HDFS and NoSQL databases or similar services in Azure or GCP Minimum of 4 years of experience working in Datawarehouse or Data Lake Projects in a role beyond just Data consumption. Minimum of 4 years of extensive working knowledge in AWS building scalable solutions. Equivalent level of experience in Azure or Google Cloud is also acceptable Minimum of 3 years of experience in programming languages (preferably Python) Experience in Pharma Domain will be a very Big Plus. Familiar with tools like Git, Code Commit, Jenkins, Code Pipeline Familiar with Unix/Linux and Shell Scripting Additional Skills: Exposure to Pharma and life sciences would be an added advantage. Certified in any cloud technologies like AWS, GCP, Azure. Show more Show less

Designation: Manager Experience: 8 to 14 years If anyone is interested, please share your resume with cbruno@trinitylifesciences.com Role & responsibilities 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 Preferred candidate profile At least 5 years of proven work experience in DevSecOps, security engineering, or a related field. At least 3 years of people management experience. Bachelors 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). Masters degree in Cybersecurity, Computer Science, Information Security, or a related field. The DevSecOps Manager plays a pivotal role in guiding Trinity teams through the integration of security practices into their software development and operations processes. This management role also brings a wealth of expertise to foster a culture of collaboration, continuous security, and efficiency. The DevSecOps Manager is responsible for building and managing a team of DevSecOps engineers. The team will need to collaborate closely with other cross-functional teams, offering strategic insights to enhance security measures across the entire software development lifecycle. This role requires a profound understanding of DevSecOps principles, a hands-on approach to implementation, the ability to navigate the evolving landscape of cybersecurity threats, team management and team career pathing. The DevSecOps Manager assesses existing development pipelines, identifying opportunities to embed security measures seamlessly. They work closely with development and operations teams to implement automated security testing, code analysis, and deployment processes. Incident response planning and execution form a critical aspect of the role, ensuring swift and effective resolution in case of security breaches.

Designation: Senior Product Engineer - Backend Developer Experience: 3 to 6 years If anyone is interested, please share your resume with cbruno@trinitylifesciences.com Role & responsibilities Ability to work productively and handle a small web development team, identify and resolve issues in a collaborative manner. Life sciences background and functional knowledge is a big plus. Ability to mentor and guide team members effectively Work closely with product owners to understand overall requirements, application architecture and lead a team of web developers in an agile environment. He/She should be working hands-on as backend developer using Django Strong programming knowledge of Python Strong experience in Django, REST APIs Must have up-to-date experience with Django/Python, JavaScript, CSS, HTML5 Knowledge/Hands on Experience on any of the RDBMS, NoSQL databases Proficient understanding of code versioning tools such as Git or SVN Knowledge of user authentication and authorization between multiple systems, servers, and environments Understanding of fundamental design principles behind a scalable application Knowhow with agile work methods like SCRUM Strong unit test and debugging skills Ability to take direction, understand requirements, and be proactive in following up on tasks Ensure design consistency with client's development standards and guidelines. Guide and maintain development teams and ensure best practices are followed for web applications. Ability to design / develop reusable frameworks & interface specifications. Take proactive steps to reduce/prevent vulnerabilities. Perform product analysis and development tasks of increasingly complex nature which may require extensive research and analysis. Strong analytical skills Strong communication skills Experience with writing Unit Tests

Designation: Senior Quality Assurance tester Experience: 5+ years If anyone is interested, please share your resume with cbruno@trinitylifesciences.com Role & responsibilities Collaborate with cross functional agile project teams to ensure quality is driven from requirements definition through to delivery by identifying, documenting, and prioritizing software issues. Design and execute test cases and plans to verify software product functionality and performance. Increase effectiveness and accuracy of testing procedures and create automated test scripts. Understand Non-Functional Requirements (Performance & Load, response time, SLAs for Application/System Performance/Availability). Work closely with Business Analysis team for reviewing Non-Functional Requirements and provide necessary feedback Design Load Models and Performance Test Scenarios as per the Test Strategy to test Performance Requirements. Identify Test Data needs Build Performance Test scripts & Performance Test Scenarios using Performance Testing tool, HP Load Runner, NeoLoad, Jmeter, WebLoad. Identifying Measurement points and Monitors. Create Performance Test Report covering current Performance levels, Bottlenecks and recommendations for Performance Optimization/ Improvements Be a creative thinker who can quickly identify and test for functional edge cases outside of expected functionality workflow Have the drive to become an expert in: Unit testing o UX Testing o UI Testing o Integration testing of APIs Performance and scalability testing Security Penetration Testing Preferred candidate profile Strong background in, and at least 3+ years of working in QA automation Experience in programming languages like Java, Python, or C++ Experience in writing, executing and monitoring automated test suites using a variety of technologies, including, but not limited to, Cucumber, Concordion, Selenium, Fit/FitNesse, SoapUI At least 3 years of experience in any of the Load & Performance tools for scripting, execution and analysis is a must Microfocus LoadRunner, Apache JMeter, Neoload, Gatling Proficient working with relational databases such as MySQL & PostreSQL Additional Skills Building test infrastructures using containerization technologies such as Docker and working within continuous delivery / continuous release pipeline processes Testing enterprise applications deployed to cloud environments such as AWS Experience mentoring QA staff and end users on quality objectives and testing processes Understanding of coding enterprise applications within Java, PHP, Python and other languages Understanding of NoSQL database technologies such as MongoDB or DynamoDB CTFL, ISTQB, CSQA or CSTE certified Degree level qualifications in a technical related subject

Description 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. Show more Show less