Job Description:Title: Global Director, Client Services & Operations Reports To: Chief Commercial OfficerCompensation: Competitive base salary + bonus and full benefitsConsideration for Partner-level and equity after overall attainment of performance objectives About Anervea.AI: We are an early-stage, series A company with innovative AI-solutions that modernize Biopharmaceutical commercialization. We specialize in Competitive Intelligence, Commercial Operations, Brand Strategy and Data Science Solutions. Our leadership has diverse expertise with backgrounds from ex-Syneos, Amgen, Moodys and ZS. Anervea has global locations in the US & India and our core products are AlfaKineticTM and AlfaTRxTM. About the Role - Global Director, Client Services & Operations Responsible for leading our Commercial Advisory Services to support client engagements by implementing the strategic framework for project delivery with defined milestones, KPI’s, timelines and deliverablesConduct evaluations of our pipeline opportunities and outline the internal/external resources necessary for winning the business and implementing the consulting framework to execute upon SOWsSupport the commercialization of AlfaKineticTM & AlfaTRxTM by strengthening our brand identity as a differentiated AI leader for Life Sciences, specifically amongst Biotech & Pharmaceutical companies in the US & EU geographiesLead a team and collaborate with cross-functional employees across Competitive Intelligence, Market Research, Analysts and Engineers Requirements:Bachelor’s degree with 10+ years of professional experience with at least 5 years of Life Science Consulting Strategy & Operations with verifiable skills for leading teams, strategic frameworks, project delivery and client servicesVerifiable success within a start-up environment for wearing multiple hats and being resourceful First-hand expertise with Pharma commercialization functions of Pharma across Market Access, Brand Strategy, Product Launch, Field Solutions, Medical AffairsPreference given to candidates coming from a Management Consultancy, such as Synbeos, Eversana, IQVIA, ZSThose coming from a Biopharmaceutical are also encouraged to apply with expertise in Market Access, Marketing Strategy, Commercial OperationsAbility to travel 25%+

Job Description: QC Manager Location: Pune Experience Required: 2+ years Employment Type: Full-Time Education: BTech / BSc / MSc in Computer Science, Engineering, Quality Management, or a related technical field About Anervea.ai Anervea.ai is building the next-generation AI-powered intelligence stack for the pharmaceutical industry. Our platform empowers global pharma teams—across commercial, clinical, and medical functions—with real-time analytics, predictive insights, and intelligent agents. Our products are designed to enhance decision-making processes, and quality assurance plays a key role in ensuring the success of these products. Role Overview We are looking for an experienced and proactive QC Manager to lead our testing team and ensure the highest quality of our software products. As a QC Manager, you will oversee the testing and validation of all our products, drive quality assurance strategies, and manage the daily scrum meetings for the QA team. You will work closely with cross-functional teams, including developers, product managers, and AI engineers, to ensure the highest standards of product quality and performance are met. Key Responsibilities Lead and manage the daily testing activities for the QA team, including conducting daily scrum meetings, assigning tasks, and tracking progress. Develop and execute test plans, test cases, and test scripts for new and existing features. Oversee the creation of automation test scripts and integrate automated testing into the development pipeline. Coordinate and prioritize testing efforts across teams to ensure efficient resource allocation. Identify, report, and track defects and work closely with the development team to ensure timely resolution. Maintain comprehensive documentation of test results, defects, and other critical testing metrics. Collaborate with product, backend, and AI teams to define testing requirements and scope. Ensure consistent communication across teams to align testing efforts with product release timelines. Lead regular QA meetings to review team progress, blockers, and any emerging issues. Provide mentorship and guidance to junior members of the QA team and foster a culture of continuous learning and improvement. Drive process improvements to enhance the efficiency and effectiveness of the testing workflow. Monitor and maintain the quality of testing tools and frameworks used by the team. Ensure compliance with best practices in testing methodologies, including test coverage, performance, and security. Stay up to date with industry trends, tools, and techniques related to quality assurance and testing. Technical Skills Required Strong experience in software quality assurance and testing methodologies, including functional, regression, and performance testing. Proficiency with testing tools such as Selenium, JUnit, TestNG, or similar. Solid understanding of software development lifecycles (SDLC) and Agile methodologies (Scrum, Kanban). Experience with test automation frameworks and CI/CD pipelines. Familiarity with bug tracking tools such as Jira or Trello. Strong knowledge of RESTful APIs and how to test them. Experience with performance testing tools like JMeter, LoadRunner, or similar is a plus. Familiarity with database testing and SQL. Strong analytical and problem-solving skills, with attention to detail. Excellent understanding of documentation and reporting tools. Bonus: Experience with mobile testing (iOS, Android) and/or data-driven products. Personal Attributes Strong leadership and team management skills. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams. High attention to detail and a commitment to delivering the best possible quality. Ability to manage multiple tasks and priorities in a fast-paced environment. Strong problem-solving skills and ability to work under pressure. Passionate about driving quality and continuous improvement. Self-driven and able to work independently with minimal supervision. Excellent organizational and time-management skills. Ability to mentor and develop junior members of the team. Why This Role Matters As the QC Manager, you will play a pivotal role in ensuring the quality of products that are used by pharma strategists, doctors, MSLs, and sales reps across the globe. Whether it’s a clinical trial prediction dashboard or a mobile app for patient management, your role will directly impact the quality, reliability, and performance of these critical tools. This is an opportunity to work at the intersection of healthcare, AI, and quality assurance, where your leadership will contribute to the creation of high-performance, trusted products that help shape the future of the pharmaceutical industry. Show more Show less

Job Description: Technical Project Manager / Delivery Lead Location: Pune Experience Required: 5+ years Employment Type: Full-Time Education: BTech / MTech / MSc in Computer Science, Engineering, or a related field About Anervea.ai Anervea.ai is an AI-native pharma intelligence company building products that drive high-impact decisions for global pharmaceutical teams. Our platform powers competitive intelligence, clinical trial prediction, AI-powered field enablement, and digital HCP engagement—used by commercial, clinical, and medical affairs teams across the US and EU. We are building fast, solving real-world problems, and scaling globally with a lean, deeply technical team. We’re looking for a Delivery Lead who can operate at the intersection of engineering, product, and execution —with a solid understanding of system design and the ability to guide technical choices. Role Overview As the Technical Project Manager / Delivery Lead , you’ll take full ownership of engineering execution across our product pods and client deliverables. You’ll lead sprints, manage cross-functional collaboration, and most importantly, act as the technical system architect for early-stage product decisions and delivery success. You’ll be the bridge between ideas and execution—balancing sprint velocity, product quality, and platform scalability. Key Responsibilities Own project planning, sprint execution, and backlog prioritization across 4–5 product pods Lead daily standups, retrospectives, and sprint reviews for engineering + AI teams Translate product and business requirements into structured technical tasks Review architecture plans and ensure systems are modular, scalable, and maintainable Collaborate with the Head of Engineering to validate system design decisions Troubleshoot project delays or bottlenecks and realign sprint workflows Maintain Jira/ClickUp/Notion boards with task breakdowns, dependencies, and blockers Interface with commercial and product leadership to align delivery timelines with client expectations Ensure code quality, documentation, and deployment discipline across pods Create visibility through weekly status reports, burn-down charts, and roadmap alignment Technical Skills & System Design Experience Strong foundation in system design and understanding of scalable backend architectures Familiarity with microservices , API-first architectures, and LLM/AI pipelines Experience with CI/CD, cloud deployment workflows (preferably AWS), and Dockerized environments Ability to review and guide architecture decisions made by backend and AI teams Experience managing teams working with: Python (FastAPI/Flask) React/Next.js ML models, LLM agents, vector databases (Pinecone/FAISS) Redis, PostgreSQL, MongoDB Bonus: Past hands-on coding or architectural design in an AI/ML or SaaS environment Personal Attributes Strong systems thinker with architectural intuition High accountability—you take ownership of outcomes, not just task tracking Proactive communicator with strong cross-functional coordination skills Structured, process-driven, but adaptive when required Calm under pressure and solutions-oriented in dynamic environments Able to influence engineers and product teams through clarity and logic—not hierarchy Comfortable managing complexity across multiple teams and clients simultaneously Why This Role Matters You’ll drive the execution engine behind some of the most innovative AI products in life sciences today. From clinical trial prediction tools to autonomous HCP research agents, our work is only as good as its delivery—and that’s your domain. This role is ideal for someone who wants to move beyond conventional project management into a more technical, architecture-aware delivery leadership role . Show more Show less

Job Description: Machine Learning / Data Science Engineer/Data Scientists Location: Pune Experience Required: 3–6 years Type: Full-Time Education: BTech / MTech / MSc / PhD in Computer Science, Data Science, Applied Mathematics, Statistics, or a related field. About Anervea.ai Anervea.ai is building a next-generation intelligence stack for the pharmaceutical industry. Our products help commercial, clinical, and medical affairs teams make smarter decisions—faster. From predicting the success of clinical trials and decoding competitor movement, to surfacing real-time KOL signals and automating HCP engagement, our platform powers strategic decision-making at scale. We’re not a services firm—we’re a product-first, AI-native company solving real problems using applied machine learning, generative AI, and life sciences data. Our clients include major US and EU pharma companies, and our team is a mix of engineers, researchers, and life science domain experts. We’re looking for ML engineers and data scientists who are passionate about learning, driven to build usable solutions , and ready to push boundaries. Role Overview As an ML / Data Science Engineer at Anervea, you’ll work on designing, training, deploying, and maintaining machine learning models across multiple products. You’ll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. You’ll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering , model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomes—not just code Bonus Qualities Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions Show more Show less

Company Description We are an early-stage, Series A company delivering innovative AI solutions that modernize biopharmaceutical commercialization. Specializing in Competitive Intelligence, Commercial Operations, Brand Strategy, and Data Science Solutions, our leadership team brings experience from Syneos, Amgen, Moody’s, Google, and ZS. With global offices in the US and India, our core products include alfaTRx™, alfakinetic™, and alfapredict™. Role Description · Analyze pharmaceutical datasets (e.g., IQVIA, Komodo, Symphony, Veeva, open data) using SQL, Python and generate actionable insights. · Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modeling, utilizing advanced statistical techniques. · Develop user-centric scalable visualization and analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. · Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Qualifications · Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. · 2-5 years in data science within the Biotech, Pharmaceutical & Life Sciences industries. · Expert knowledge of US healthcare datasets, specially claims data such as Komodo, LAAD, symphony etc. · Proficient in SQL & Python · Experience in R&D, Clinical Trials, etc. is a plus 📩 Interested? DM me or apply via our website! #Hiring #DataScience #PharmaJobs #AI #PuneJobs #AnerveaAI