About the Role We are looking for a Director / Senior Director of Sales to drive revenue growth by owning the entire sales lifecycle — from qualified opportunity to closure — across our life sciences and biopharma customer base. This is a high-impact role responsible for building a predictable pipeline, closing strategic accounts, and aligning cross-functional stakeholders including delivery and GTM leadership. You will be a key voice in shaping commercial strategy and customer success across high-value accounts. What You’ll Drive Lead and own the full sales cycle — from pipeline creation, deal pursuit, solution alignment, to contract closure. Drive revenue growth in key markets, with a focus on large pharma, biotech, and data-forward life sciences orgs. Track and report key sales metrics, including forecast accuracy, pipeline health, and win rates. Build and execute the strategic sales plan in collaboration with marketing, solutions, and delivery. Segment target accounts and craft customized outreach strategies for each segment/persona. Collaborate with demand gen and marketing to accelerate pipeline growth. Manage and mentor a growing sales team and solution managers across geographies. Act as a bridge between sales, delivery, and product to ensure solution alignment and smooth handoffs. Support deal structuring, pricing, and proposal development with internal stakeholders. Partner with solution managers and customer success teams to expand footprint in existing accounts. Develop and maintain strong relationships with key decision-makers and executive sponsors. Own long-term growth of strategic accounts through upsell/cross-sell opportunities. Must-Have Qualifications 10–14 years of experience in B2B/enterprise sales, ideally in SaaS, AI/ML, or life sciences tech. Proven track record of meeting or exceeding sales quotas in the US or global markets. Deep familiarity with consultative selling, value-based positioning, and enterprise buying cycles. Strong experience collaborating with cross-functional teams (marketing, delivery, product, etc.). Experience managing solution or pre-sales functions alongside sales ownership. Preferred Qualifications Experience selling to Pharma R&D, Bioinformatics, or Life Sciences IT teams. Strong understanding of data platforms, cloud infrastructure, or AI/ML-driven solutions. Prior startup or scale-up experience with high-ownership roles. Excellent communication and negotiation skills with C-level stakeholders. Why Elucidata? Shape the future of AI in life sciences and help accelerate scientific discovery Join a GTM leadership team that’s collaborative, driven, and impact-focused Competitive compensation, including ESOPs Hybrid work model with flexibility Be part of a fast-growing company backed by leading global investors Show more Show less

Role Overview As the Director of Delivery, you will be responsible for leading and scaling Elucidata’s delivery function across a portfolio of complex, high-impact data and AI/ML projects in the pharma and biotech industries. This role is critical to ensuring timely, high-quality execution of customer engagements and internal programs, while building the operational muscle to support scale. You will bring deep domain expertise in life sciences or healthcare, a strong understanding of the end-to-end data lifecycle in pharma/biotech R&D, and a proven track record in leading multidisciplinary delivery teams and operations. Key Responsibilities 1. Strategic Delivery Leadership Lead end-to-end delivery for all customer programs, ensuring alignment with customer objectives, timelines, and quality standards. Build and oversee project governance, cadence, and execution mechanisms across engagements. Act as an escalation point for delivery risks, delays, or resourcing issues and implement proactive mitigation strategies. 2. Stakeholder Management & Solutions Act as a key partner to Solutions, Product, and Commercial teams to align delivery with strategic account plans. Regularly engage with client-side stakeholders including R&D leaders, computational biologists, and IT to ensure program success. Maintain high NPS scores through transparent communication and operational excellence. 3. Team Building & Operational Excellence Build and lead a high-performing team of Data Engineers, Data Scientists, and Project Leads. Implement delivery best practices, KPIs, dashboards, and quality control frameworks to ensure predictable execution. Identify, define, and optimize repeatable playbooks for different types of customer engagements (e.g., platform deployment, data harmonization, AI/ML pilots). 4. Cross-Functional Collaboration Partner with Product & Engineering to align delivery feedback with the product roadmap. Work closely with Revenue Ops and Finance to manage resourcing plans, utilization, and profitability of delivery programs. Must-Have Qualifications 10+ years of delivery, operations, or program management experience in the pharma, biotech, or healthcare space. Proven experience leading delivery teams across domains such as bioinformatics, data harmonization, data engineering, and analytics. Deep understanding of biomedical data (e.g., omics, clinical trials, EHR, real-world data). Demonstrated ability to manage complex programs with external stakeholders under tight timelines. Preferred Qualifications Master’s degree or PhD in Life Sciences, Bioinformatics, Data Science, Engineering, or a related technical field. MBA is a plus. Prior experience working in or with pharma/biotech R&D organizations or healthcare data vendors. Familiarity with AI/ML applications in life sciences is a strong plus. Strong communication, negotiation, and stakeholder management skills. Experience scaling delivery functions in a SaaS or tech-enabled services business. Be part of a growing startup that is shaping how biomedical data is used to accelerate innovation. Show more Show less

Job Title : GenAI / ML Engineer Function : Research & Development Location : Delhi/Bangalore (3 days in office) About the Company: Elucidata is a TechBio Company headquartered in San Francisco. Our mission is to make life sciences data AI-ready. Elucidata's Elucidata’s LLM-powered platform Polly, helps research teams wrangle, store, manage and analyze large volumes of biomedical data. We are at the forefront of driving GenAI in life sciences R&D across leading BioPharma companies like Pfizer, Janssen, NextGen Jane and many more. We were recognised as the 'Most Innovative Biotech Company, 2024', by Fast Company. We are a 120+ multi-disciplinary team of experts based across the US and India. In September 2022, we raised $16 million in our Series A round led by Eight Roads, F-Prime, and our existing investors Hyperplane and IvyCap. About the Role: We are looking for a GenAI / ML Engineer to join our R&D team and work on cutting-edge applications of LLMs in biomedical data processing . In this role, you'll help build and scale intelligent systems that can extract, summarize, and reason over biomedical knowledge from large bodies of unstructured text, including scientific publications, EHR/EMR reports, and more. You’ll work closely with data scientists, biomedical domain experts, and product managers to design and implement reliable GenAI-powered workflows — from rapid prototypes to production-ready solutions. This is a highly strategic role as we continue to invest in agentic AI systems and LLM-native infrastructure to power the next generation of biomedical applications. Key Responsibilities: Build and maintain LLM-powered pipelines for entity extraction, ontology normalization, Q&A, and knowledge graph creation using tools like LangChain, LangGraph, and CrewAI. Fine-tune and deploy open-source LLMs (e.g., LLaMA, Gemma, DeepSeek, Mistral) for biomedical applications. Define evaluation frameworks to assess accuracy, efficiency, hallucinations, and long-term performance; integrate human-in-the-loop feedback. Collaborate cross-functionally with data scientists, bioinformaticians, product teams, and curators to build impactful AI solutions. Stay current with the LLM ecosystem and drive adoption of cutting-edge tools, models, and methods. Qualifications : 2–3 years of experience as an ML engineer, data scientist, or data engineer working on NLP or information extraction. Strong Python programming skills and experience building production-ready codebases. Hands-on experience with LLM frameworks and tooling (e.g., LangChain, HuggingFace, OpenAI APIs, Transformers). Familiarity with one or more LLM families (e.g., LLaMA, Mistral, DeepSeek, Gemma) and prompt engineering best practices. Strong grasp of ML/DL fundamentals and experience with tools like PyTorch, or TensorFlow. Ability to communicate ideas clearly, iterate quickly, and thrive in a fast-paced, product-driven environment. Good to Have (Preferred but Not Mandatory) Experience working with biomedical or clinical text (e.g., PubMed, EHRs, trial data). Exposure to building autonomous agents using CrewAI or LangGraph. Understanding of knowledge graph construction and integration with LLMs. Experience with evaluation challenges unique to GenAI workflows (e.g., hallucination detection, grounding, traceability). Experience with fine-tuning, LoRA, PEFT, or using embeddings and vector stores for retrieval. Working knowledge of cloud platforms (AWS/GCP) and MLOps tools (MLflow, Airflow etc.). Contributions to open-source LLM or NLP tooling We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Show more Show less

The Role: Where Strategy Meets Storytelling We’re looking for a Director of Solutions Marketing to shape how the world sees and understands Elucidata. This isn’t traditional product marketing — it’s strategic storytelling at the intersection of AI, biology, and data. You’ll work across teams — from product and science to sales and leadership — to define, build, and deliver compelling narratives and go-to-market strategies for our solutions. You’ll take complex ideas and turn them into clear, credible, and compelling stories that drive growth and set us apart in the market. This is a hands-on, high-impact role where you won't just launch products — you'll launch understanding. What You’ll Own Define the value proposition for Elucidata’s data platform and offerings — grounded in science, but told through the lens of real customer impact Own solution-level messaging across key customer personas: bioinformaticians, translational scientists, pharma R&D leaders, and data teams Build and drive launch strategies for new solutions, data products, or scientific capabilities Partner with product, BD, and science to ensure GTM plans are tight, timely, and tied to market needs Equip the field with what they need to close: decks, solution briefs, FAQs, battle cards, and more Train internal teams on how to speak to our solutions with clarity and confidence Develop high-quality marketing content — case studies, thought leadership, blogs, white papers, webinars Collaborate with scientists, customers, and product teams to bring real-world value to life Lead competitive research, segmentation, and market analysis to refine messaging and inform roadmap decisions What Makes You a Great Fit 8–12 years in solutions/product/scientific marketing, ideally in biotech, healthtech, or data-driven life sciences Deep understanding of biomedical R&D workflows, data infrastructure, or bioinformatics Strong scientific grounding (MS/PhD in life sciences, bioinformatics, or related field preferred) Exceptional storytelling, content creation, and cross-functional collaboration skills Experience in startups or high-growth teams where speed, ambiguity, and creativity go hand in hand Show more Show less

Job Title : GenAI / ML Engineer Function : Research & Development Location : Delhi/Bangalore (3 days in office) About the Company: Elucidata is a TechBio Company headquartered in San Francisco. Our mission is to make life sciences data AI-ready. Elucidata's Elucidata’s LLM-powered platform Polly, helps research teams wrangle, store, manage and analyze large volumes of biomedical data. We are at the forefront of driving GenAI in life sciences R&D across leading BioPharma companies like Pfizer, Janssen, NextGen Jane and many more. We were recognised as the 'Most Innovative Biotech Company, 2024', by Fast Company. We are a 120+ multi-disciplinary team of experts based across the US and India. In September 2022, we raised $16 million in our Series A round led by Eight Roads, F-Prime, and our existing investors Hyperplane and IvyCap. About the Role: We are looking for a GenAI / ML Engineer to join our R&D team and work on cutting-edge applications of LLMs in biomedical data processing . In this role, you'll help build and scale intelligent systems that can extract, summarize, and reason over biomedical knowledge from large bodies of unstructured text, including scientific publications, EHR/EMR reports, and more. You’ll work closely with data scientists, biomedical domain experts, and product managers to design and implement reliable GenAI-powered workflows — from rapid prototypes to production-ready solutions. This is a highly strategic role as we continue to invest in agentic AI systems and LLM-native infrastructure to power the next generation of biomedical applications. Key Responsibilities: Build and maintain LLM-powered pipelines for entity extraction, ontology normalization, Q&A, and knowledge graph creation using tools like LangChain, LangGraph, and CrewAI. Fine-tune and deploy open-source LLMs (e.g., LLaMA, Gemma, DeepSeek, Mistral) for biomedical applications. Define evaluation frameworks to assess accuracy, efficiency, hallucinations, and long-term performance; integrate human-in-the-loop feedback. Collaborate cross-functionally with data scientists, bioinformaticians, product teams, and curators to build impactful AI solutions. Stay current with the LLM ecosystem and drive adoption of cutting-edge tools, models, and methods. Qualifications : 2–3 years of experience as an ML engineer, data scientist, or data engineer working on NLP or information extraction. Strong Python programming skills and experience building production-ready codebases. Hands-on experience with LLM frameworks and tooling (e.g., LangChain, HuggingFace, OpenAI APIs, Transformers). Familiarity with one or more LLM families (e.g., LLaMA, Mistral, DeepSeek, Gemma) and prompt engineering best practices. Strong grasp of ML/DL fundamentals and experience with tools like PyTorch, or TensorFlow. Ability to communicate ideas clearly, iterate quickly, and thrive in a fast-paced, product-driven environment. Good to Have (Preferred but Not Mandatory) Experience working with biomedical or clinical text (e.g., PubMed, EHRs, trial data). Exposure to building autonomous agents using CrewAI or LangGraph. Understanding of knowledge graph construction and integration with LLMs. Experience with evaluation challenges unique to GenAI workflows (e.g., hallucination detection, grounding, traceability). Experience with fine-tuning, LoRA, PEFT, or using embeddings and vector stores for retrieval. Working knowledge of cloud platforms (AWS/GCP) and MLOps tools (MLflow, Airflow etc.). Contributions to open-source LLM or NLP tooling We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Show more Show less