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
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
About the Role : As a Solution Manager, you will drive customer retention and expansion by managing a book of business, ensuring successful project delivery, prospecting for new cross sell & upsell opportunities, and creating innovative solutions. You will collaborate with Technical Owners and Subject Matter Experts, ensuring alignment between customer needs and business goals. Key Responsibilities: Book of Business Management: Build and nurture relationships with key stakeholders, including champions and economic buyers. Monitor account-level margins to ensure profitability. Liaise with Revenue Operations team on invoicing, Revenue recognition, financial forecasting. Ensure deliverables are aligned with customer success metrics through Mutual Success Plans. Secure renewal agreements and identify cross-sell and upsell opportunities. Prospecting and Solution Architecture for Cross-Sell: Map customer organizations to uncover new personas and decision-makers. Perform discovery calls to prospects for new use cases and solutions. Develop tailored solutions suited for customer’s usecase Develop reusable case studies and impactful sales materials (solution briefs, presentations). Conduct market research to strategically align solutions with customer pain points and industry trends. Delivery and Collaboration : Act as the customer’s voice within Elucidata, ensuring all teams are aligned to deliver exceptional customer experience. Collaborate with Technical Owners and Subject Matter Experts to ensure smooth and agile project execution. Set up an account pod structure for each customer, incorporating members from various functions such as technical owners, engineering, product, AI/ML, and more. Pull in relevant teams as necessary to ensure comprehensive solutions are delivered to the customer. Conduct regular project reviews to maintain quality. Key Metrics : Net Revenue Retention (NRR): Includes renewal, upsell, and cross-sell dollars. Utilization percentage (hours, credits) Account health indicators (Business reviews, Mutual Success Plans, NPS) Discovery calls for new use cases (cross-sell) Customer advocacy (testimonials, references, case studies & collaterals building) Required Skills : Education: Undergraduate degree in Bioinformatics, Life Sciences, or a related field (MBA preferred). Experience: 5+ years in customer-facing roles, with a focus on business development, customer success, or solution selling (Bioinformatics/Life Sciences preferred). Technical Skills: Strong understanding of bioinformatics platforms; experience in cloud/software/ML is a plus. Customer Relationship Management: Proven ability to manage client relationships, uncover opportunities for cross-sell/upsell, and ensure solutions align with business objectives. Communication & Collaboration: Excellent problem-solving skills and ability to work across teams. Tools: Proficiency in Salesforce, LinkedIn Sales Navigator, and project management tools.
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.
The HR Intern position in Delhi (Hybrid) is a 6-month stipend-based role that offers practical experience in various aspects of human resources. As a proactive and detail-oriented intern, you will primarily focus on administrative and operational functions, collaborating closely with a supportive team to build a strong foundation for a career in HR. Your key responsibilities will include supporting onboarding processes by preparing documentation and scheduling orientations for new hires, assisting in planning and executing employee engagement activities, maintaining and updating employee records, tracking attendance and leave, handling general HR administrative tasks, supporting the drafting and communication of HR policies, processes, and employee handbooks, ensuring compliance with company and legal HR requirements, acting as a point of contact for employee inquiries, and collaborating with the HR team to identify and streamline HR processes for greater efficiency. To qualify for this role, you should be currently pursuing or recently completed a degree in Human Resources, Business Administration, or a related field (MBA/PGDM preferred), have previous internship or project experience in HR operations, possess strong organizational skills with attention to detail and accuracy, demonstrate the ability to manage multiple tasks and prioritize effectively in a fast-paced environment, exhibit excellent communication and interpersonal skills, showcase a creative mindset for engagement activities and initiatives, and have proficiency in MS Office tools (Excel, Word, PowerPoint). Working with us comes with benefits such as competitive compensation including ESOPs, unlimited vacation and holiday time off, a hybrid work environment, and the opportunity to be part of a dynamic team in a growing company.,
Elucidata is a TechBio Company headquartered in San Francisco, on a mission to make life sciences AI-ready. Elucidata's platform Polly assists research teams in managing and analyzing large volumes of biomedical data. The company is a key player in driving GenAI in life sciences R&D for leading BioPharma companies such as Pfizer, Janssen, NextGen Jane, and more. Recognized as the "Most Innovative Biotech Company, 2024" by Fast Company, Elucidata boasts a 110+ multi-disciplinary team of experts based in the US and India. In September 2022, the company raised $16 million in its Series A round led by Eight Roads, F-Prime, Hyperplane, and IvyCap. We are looking for a dynamic and experienced Head of Marketing to join our team and lead the strategic vision and execution of our marketing efforts. In this role, you will play a crucial part in shaping our marketing strategies, developing comprehensive plans aligned with our objectives, and enhancing our brand presence in precision medicine R&D. You will oversee various aspects including product marketing, content strategy, demand generation, market research, and customer engagement, ensuring the delivery of scientifically accurate and impactful content. Collaboration with sales, product, and customer success teams will be essential to maintain brand consistency and cohesive messaging. This role will report to the co-founders. **Key Responsibilities:** - **Develop & Execute Marketing Strategies:** Create and implement comprehensive marketing plans to increase brand awareness, drive lead generation, and support business growth in the US and EU. - **Brand Building & Outreach:** Lead brand development initiatives through awareness campaigns, on-ground activations, and PR efforts to enhance brand presence and visibility in strategic markets. - **Content & Collateral Management:** Oversee the creation of marketing materials, ensuring high-quality and compelling content including pitch documents and battle cards. - **Performance Analysis & Optimization:** Analyze performance metrics to refine tactics, align with business objectives, and optimize for greater impact. - **Brand Messaging & Governance:** Monitor and maintain content messaging consistency to deliver a cohesive brand experience across all channels. - **Strategic Planning & Budgeting:** Develop and maintain a roadmap of marketing activities, manage resources, and budgetary spends to execute initiatives within budget. **Required Skills:** - **Marketing Leadership:** 10+ years of experience in developing and executing comprehensive marketing strategies, focusing on brand building, lead generation, and market penetration. Experience in life sciences or enterprise tech is beneficial. - **Content Strategy & Demand Generation:** Deep expertise in content creation and strategy with a proven track record of designing impactful campaigns that drive demand and engage target audiences. - **Vendor & Freelancer(s) Management:** Proven experience in managing external vendors, freelancers, and third-party agencies to support marketing initiatives. - **PR & Partnerships:** Expertise in building relationships with key stakeholders, industry analysts, and strategic partners to boost brand visibility and secure influential mentions. - **Performance Metrics & Data-Driven Decision Making:** Strong analytical skills to interpret performance data and audience insights for refining strategies. - **Budgeting & Resource Management:** Experience in managing marketing budgets, tracking expenses, and maximizing ROI on marketing spend within budget. - **US & EU Enterprise Tech Experience:** Demonstrated ability to build and grow brands in the US and EU through on-ground activations, PR, and localized marketing efforts.,
The Bioinformatics Scientist position requires a candidate with expertise in single-cell transcriptomics and multi-omics analysis to develop AI-driven solutions using Elucidatas platform. As a Bioinformatics Scientist, you will be responsible for utilizing your knowledge of biology and computational methods to analyze omics data, extract valuable insights, and assist clients in solving complex biological challenges. This role is suitable for individuals who excel at the convergence of biology, data science, and client engagement, possessing strong communication abilities and a dedication to advancing life science research through data. Your primary responsibilities will include interpreting biological problem statements and multi-omics data to create compelling scientific presentations and scalable solutions. You will be expected to analyze various biological data types (genomics, transcriptomics, proteomics, metabolomics) using advanced statistical techniques, with a specific emphasis on single-cell transcriptomics. Additionally, you will play a key role in innovating and enhancing tools, pipelines, and algorithms for multi-omics data analysis and visualization. Collaborating with a diverse team of ML specialists, data scientists, and bioinformatics engineers, you will translate customer needs into innovative solutions while working closely with technical owners and solution managers to drive account growth and maintain customer relationships. The ideal candidate should hold a PhD or Master's degree in Bioinformatics, Computational Biology, Biotechnology, or a related technical field, with proven experience in processing and analyzing multi-omics data, particularly single-cell transcriptomics data. Proficiency in programming languages like Python or R is essential, along with practical experience in applying computational algorithms and statistical methods to large and varied data sets. A successful track record of collaboration and individual work, coupled with excellent communication and presentation skills, are also crucial for this role. Desirable qualifications for this position include familiarity with cloud technologies and scalable computing platforms, as well as experience in AI/ML applications for biomedical data analysis and prior involvement in customer collaboration and project delivery.,
As the Director of Delivery, you will play a crucial role in leading and expanding Elucidatas" delivery function focused on complex, high-impact data and AI/ML projects within the pharma and biotech industries. Your primary responsibility will be to ensure the timely and high-quality execution of customer engagements and internal programs, while also establishing the operational capabilities necessary to support growth and scalability. Bringing deep expertise in life sciences or healthcare, you should possess a solid understanding of the end-to-end data lifecycle in pharma/biotech R&D. Your proven track record in leading multidisciplinary delivery teams and operations will be essential in driving success in this role. Your key responsibilities will include strategic delivery leadership, where you will oversee the entire delivery process for customer programs to ensure alignment with objectives, timelines, and quality standards. You will establish project governance structures, cadence, and execution mechanisms while also serving as the escalation point for any delivery-related risks, delays, or resourcing issues. Furthermore, you will actively engage with stakeholders from Solutions, Product, and Commercial teams to align delivery with strategic account plans. Building and leading a high-performing team comprising Data Engineers, Data Scientists, and Project Leads will be a crucial aspect of your role. By implementing delivery best practices, KPIs, dashboards, and quality control frameworks, you will ensure the consistent and effective execution of projects. Additionally, you will collaborate cross-functionally with Product & Engineering teams to provide feedback for the product roadmap. Working closely with Revenue Ops and Finance, you will manage resourcing plans, utilization, and profitability of delivery programs. The ideal candidate should have at least 10 years of experience in delivery, operations, or program management within the pharma, biotech, or healthcare sectors. Demonstrated leadership experience in domains such as bioinformatics, data engineering, and analytics is essential, along with a deep understanding of biomedical data. Strong stakeholder management skills and the ability to manage complex programs under tight timelines are also key qualifications. Preferred qualifications include a Masters degree or PhD in a relevant technical field, prior experience in pharma/biotech R&D or healthcare data vendors, familiarity with AI/ML applications in life sciences, and experience in scaling delivery functions in a SaaS or tech-enabled services business. Join us in this exciting opportunity to be part of a growing startup that is revolutionizing how biomedical data is leveraged to drive innovation in the industry.,
Senior Manager-Delivery Operations/ Senior Program Manager About the Role: We’re looking for a Delivery Leader with a founder's mindset, someone who’s not just managing timelines and teams but is genuinely excited to build, scale, and evolve Elucidata’s service vertical into a future-ready engine of execution. If you're someone who thrives in ambiguity, moves fast, learns faster, and sees every challenge as a new product to be built, this is your playground. This role will be critical to shaping how we deliver high-impact, tech-enabled data and AI/ML programs for global pharma and biotech clients. We're not just looking for operational polish, we're looking for ownership, grit, and a deep desire to make Elucidata's delivery system a competitive advantage. Key Responsibilities: 1. Build for Scale Evolve our delivery model to support scale without compromise, systematize what works, break what doesn’t. Own the setup of repeatable, modular delivery playbooks across data harmonization, ML pilots, and platform deployments. Implement dashboards, KPIs, and OKRs to track efficiency, quality, and customer value. 2. Operate Like a Founder Take full ownership of timelines, people, and quality not just to meet expectations, but to raise the bar. Drive a culture of bias for action, continuous learning, and “get-it-done” energy across the delivery team. 3. Make Delivery a Strategic Lever Partner with Product, Solutions, and GTM teams to ensure delivery is tightly coupled with company goals. Be the voice of delivery in strategy discussions - bring frontline insights back to influence roadmaps. 4. Lead a High-Energy Team Build, mentor, and inspire a lean team of project leads, data scientists, and data engineers. Foster a culture of hustle, collaboration, and hands-on problem-solving. Be okay with doing before delegating. 5. Engage with Clients Deeply Act as a trusted delivery owner in client conversations. Be fluent in translating science, tech, and timelines and solving for all three. Protect the team while also being the face of accountability. Must-Have Qualification: 6–10 years of experience in delivery, operations, or program execution ideally in healthcare, life sciences. A solid understanding of biomedical or R&D data (omics, clinical trials, real-world evidence, etc.). Experience owning cross-functional programs with real delivery pressure and measurable outcomes. Demonstrated ability to manage complex programs with external stakeholders. Preferred (But Not Dealbreakers) Hands-on experience in data science, bioinformatics, or engineering is a huge plus. Exposure to AI/ML in life sciences, or delivery in a SaaS/TechBio context. An entrepreneurial or startup stint — or a strong desire to build like you’ve been in one. What You’ll Get A front-row seat to shaping how biomedical data powers real-world decisions. The opportunity to scale something that matters — both for the company and for science. A high-agency environment with support, not micromanagement.
About the Role: The person in this role will be responsible for delivering AI solutions to customers on top of Elucidatas technology. This role involves a unique blend of applying AI, a deep understanding of biology, and complex data to generate actionable insights. In this customer-facing role, you will work with commercial teams to grow accounts and develop new opportunities. The role requires strong communication skills and a customer-first mindset. Key Responsibilities: Oversee customer projects from inception to completion, ensuring timely delivery and quality of deliverables. Innovate on tools and pipelines to analyze multi-modal biological data. Stay abreast of emerging technologies in the domain to architect innovative solutions addressing client pain points. Lead and manage customer-facing projects and multidisciplinary teams of biological scientists, ML-engineers and data scientists. Build and maintain strong customer relationships by delivering within timelines and within budget Work with internal R&D teams to align goals with customer expectations. Identify opportunities to expand our business with existing customers and generate new commercial opportunities. Support the sales team in pre-sales activities, including product demonstrations, technical presentations, and proposal development. Qualifications : Ph.D. with 2-3 years of industrial/academic experience in Bioinformatics, Computational Biology, or a related field. Proven expertise in processing and analyzing multi-omics data (e.g., genomics, transcriptomics, proteomics, metabolomics, etc.) with a strong emphasis on end-to-end analysis of single-cell transcriptomics data to derive actionable insights. Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative environment. Experience leading customer-facing projects with successful delivery records. Good-to-have: Proficiency in coding with both R and Python Experience in performing integration analysis of NGS data across different modalities Experience working with cloud technologies and scalable computing platforms Familiarity with AI/ML applications in biomedical data analysis. Strong publishing record in peer-reviewed journals Ability to think strategically and translate customer needs into technical solutions. Strong analytical skills and attention to detail. Demonstrated experience in a customer-facing role, with the ability to build and maintain positive customer relationships. 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. Benefits of working with us: Competitive compensation including ESOPs Unlimited vacation and holiday time off Structured learning program for growth The opportunity to be part of a dynamic team in a growing company Learn more about us: Elucidata at first glance is a good place to know about the industry and the opportunity Fast company named Elucidata one of the most innovative biotech companies of 2024. What our team says about the team at Elucidata We are a YourStory Tech 30 winner Our pitch at Tech 30 about how biological data is crucial for humanity Watch Pollys 2021 User Group Meeting to learn more about the product Our $16mn series A funding announcement The founders - Dr. A bhishek Jha , Swetabh Pathak , and Dr. Richard Kibbey . Show more Show less
You will be a Senior Machine Learning Scientist responsible for developing advanced ML solutions to analyze complex biological datasets. Your role will involve designing, implementing, and optimizing machine learning algorithms for various biological data types including genomics, transcriptomics, mass spec, and imaging datasets. You will also be tasked with integrating diverse data types to extract meaningful biological insights. To excel in this role, you need to stay updated with the latest ML methods and their applications in life sciences to propose innovative solutions. Collaboration with bioinformaticians, data scientists, and domain experts is essential to ensure seamless integration of ML models into workflows. Additionally, you will optimize and deploy ML models on cloud platforms for scalable analysis and contribute to preprocessing, feature engineering, and quality control of large biological datasets. The ideal candidate should hold a Masters or Bachelors degree with 3-4 years of experience in Machine Learning, Computer Science, Bioinformatics, Computational Biology, or related fields. A solid understanding of machine learning algorithms, statistical methods, and proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn is required. Strong problem-solving skills and the ability to interpret complex biological data are essential. Excellent communication and interpersonal skills are necessary to work effectively in a collaborative environment. Experience with biological datasets, cloud technologies (AWS, GCP, Azure), and scalable computing platforms is preferred. Additionally, familiarity with biomedical ontologies, pathway analysis, or systems biology approaches, as well as a strong publication record in ML or bioinformatics journals, would be advantageous for this role.,
The company Elucidata is a TechBio Company headquartered in San Francisco, with a mission to make life sciences data AI-ready. Elucidata's platform Polly, powered by LLM, assists research teams in managing and analyzing large volumes of biomedical data. The company is pioneering GenAI in life sciences R&D with leading BioPharma companies such as Pfizer, Janssen, NextGen Jane, and more. Elucidata was recognized as the "Most Innovative Biotech Company, 2024", by Fast Company and has a team of 120+ experts across the US and India. In September 2022, they raised $16 million in their Series A round led by Eight Roads, F-Prime, Hyperplane, and IvyCap. As a Senior Machine Learning Scientist at Elucidata, you will be responsible for developing advanced ML solutions to analyze complex biological datasets. This role presents an exciting opportunity to work at the intersection of machine learning and life sciences, enabling transformative insights from multi-omics and biomedical data. Your key responsibilities will include designing, implementing, and optimizing machine learning algorithms for analyzing biological data. You will also develop approaches to integrate diverse data types to derive meaningful biological insights. Staying updated with state-of-the-art ML methods and collaborating with bioinformaticians, data scientists, and domain experts will be essential to ensure seamless integration of ML models into workflows. Additionally, you will optimize and deploy ML models on cloud platforms for scalable analysis and collaborate on preprocessing, feature engineering, and quality control of large biological datasets. Qualifications for this role include a Masters or Bachelors degree with 3-4 years of experience in Machine Learning, Computer Science, Bioinformatics, Computational Biology, or a related field. You should have a solid understanding of machine learning algorithms and statistical methods, proficiency in Python and ML frameworks, strong problem-solving skills, and excellent communication and interpersonal skills. Experience with cloud technologies and scalable computing platforms would be beneficial. Desirable qualifications include experience with biological datasets and applying ML to multi-omics data integration, familiarity with cloud technologies, biomedical ontologies, pathway analysis, or systems biology approaches, and a strong publication record in ML or bioinformatics journals.,
As a Director / Senior Director of Sales at our company, you will play a crucial role in driving revenue growth by managing the entire sales lifecycle for our life sciences and biopharma customer base. Your responsibilities will include building a predictable pipeline, closing strategic accounts, and collaborating with various stakeholders to shape commercial strategy and ensure customer success. You will be leading and managing the full sales cycle, from creating the pipeline to closing contracts. Your focus will be on driving revenue growth in key markets such as large pharma, biotech, and data-forward life sciences organizations. Tracking and reporting key sales metrics will be essential, including forecast accuracy, pipeline health, and win rates. Collaboration with marketing, solutions, and delivery teams will be crucial in developing and executing the strategic sales plan. You will be expected to segment target accounts and create customized outreach strategies for each segment/persona. Additionally, you will work closely with demand gen and marketing teams to accelerate pipeline growth. As a key player in the sales team, you will manage and mentor a growing sales team and solution managers across different geographies. Acting as a bridge between sales, delivery, and product teams, you will ensure solution alignment and smooth handoffs. Supporting deal structuring, pricing, and proposal development with internal stakeholders will also be part of your responsibilities. Furthermore, you will partner with solution managers and customer success teams to expand the company's footprint in existing accounts. Developing and maintaining strong relationships with key decision-makers and executive sponsors will be crucial for the long-term growth of strategic accounts through upsell/cross-sell opportunities. To qualify for this role, you should have 10-14 years of experience in B2B/enterprise sales, preferably in SaaS, AI/ML, or life sciences tech. A proven track record of meeting or exceeding sales quotas in the US or global markets is required. Deep familiarity with consultative selling, value-based positioning, and enterprise buying cycles is essential, along with experience collaborating with cross-functional teams and managing solution or pre-sales functions. Preferred qualifications include experience selling to Pharma R&D, Bioinformatics, or Life Sciences IT teams, a strong understanding of data platforms, cloud infrastructure, or AI/ML-driven solutions, prior startup or scale-up experience, and excellent communication and negotiation skills with C-level stakeholders. Joining our company will offer you the opportunity to shape the future of AI in life sciences, be part of a collaborative and impact-focused GTM leadership team, competitive compensation including ESOPs, a hybrid work model with flexibility, and the chance to be part of a fast-growing company backed by leading global investors.,
Job Title: Data Quality Analyst Function: Data Harmonization Location: Delhi/Bangalore About the Role: We are seeking a detail-oriented Data Quality Analyst to join our delivery team. This role requires expertise in AI-assisted curation, API scrapping, data modelling and data schema creation & manipulation. A strong understanding of multi-omics data types, like transcriptomics, proteomics and varied types of single-cell omics technologies is important for this role. Acquaintance with programming languages like Python and with clinical data standards such as OMOP, FHIR, and HL7 is a must. If you are eager to grow in the field of omics data, and work on cutting-edge AI technology, this role is an excellent opportunity for you. Key Responsibilities: Identify, curate and annotate biological datasets from various omics/clinical modalities, including transcriptomics, proteomics, H&E, clinical trials and single-cell data using APIs and AI tools. Automate curation of large interaction datasets decreasing curator workload. Build fit for purpose conceptual & logical data models. Have working knowledge of data models, use-case specific schema and standardize biological data using established ontologies and guidelines. Ensure high-quality curation and consistency across multiple sources to deliver reliable results. Inter and Intra-team communication Work with cross-functional teams to gather requirements and ensure alignment on biological data curation standards. Provide clear and timely updates to stakeholders on the progress of data curation tasks, ensuring transparency and alignment with project goals. Liaison between PMs, developers as a member of a cross-functional team to add newer capabilities to our curation workflow. Qualifications : A degree in Life Sciences, Bioinformatics, or a related field (Master's preferred), with familiarity in bioinformatics tools and databases for data curation. Experience with programming languages like Python is a must. Skills: Git, basics of prompt engineering, API scrapping & LLM for scientific curation. Acquaintance with healthcare/clinical data exchange standards (OMOP, FHIR, HL7). Excellent interpersonal and communication skills, both written and verbal. A highly motivated, dynamic, and detail-oriented individual with good data curation and management skills. Good To Have 1 year of curation experience, preferably in the life sciences industry. Hands-on experience using generative AI platforms and tools (e.g., ChatGPT, Gemini, Claude, or similar).
Job Title: Data Quality Analyst Function: Data Harmonization Location: Delhi/Bangalore About the Role: We are seeking a detail-oriented Data Quality Analyst to join our delivery team. This role requires expertise in AI-assisted curation, API scrapping, data modelling and data schema creation & manipulation. A strong understanding of multi-omics data types, like transcriptomics, proteomics and varied types of single-cell omics technologies is important for this role. Acquaintance with programming languages like Python and with clinical data standards such as OMOP, FHIR, and HL7 is a must. If you are eager to grow in the field of omics data, and work on cutting-edge AI technology, this role is an excellent opportunity for you. Key Responsibilities: Identify, curate and annotate biological datasets from various omics/clinical modalities, including transcriptomics, proteomics, H&E, clinical trials and single-cell data using APIs and AI tools. Automate curation of large interaction datasets decreasing curator workload. Build fit for purpose conceptual & logical data models. Have working knowledge of data models, use-case specific schema and standardize biological data using established ontologies and guidelines. Ensure high-quality curation and consistency across multiple sources to deliver reliable results. Inter and Intra-team communication Work with cross-functional teams to gather requirements and ensure alignment on biological data curation standards. Provide clear and timely updates to stakeholders on the progress of data curation tasks, ensuring transparency and alignment with project goals. Liaison between PMs, developers as a member of a cross-functional team to add newer capabilities to our curation workflow. Qualifications : A degree in Life Sciences, Bioinformatics, or a related field (Master&aposs preferred), with familiarity in bioinformatics tools and databases for data curation. Experience with programming languages like Python is a must. Skills: Git, basics of prompt engineering, API scrapping & LLM for scientific curation. Acquaintance with healthcare/clinical data exchange standards (OMOP, FHIR, HL7). Excellent interpersonal and communication skills, both written and verbal. A highly motivated, dynamic, and detail-oriented individual with good data curation and management skills. Good To Have 1 year of curation experience, preferably in the life sciences industry. Hands-on experience using generative AI platforms and tools (e.g., ChatGPT, Gemini, Claude, or similar). Show more Show less
Job Title: Solutions Manager/ Account Manager Function: Delivery Location: Delhi/Bangalore (3 days in office) About the Company: Elucidata is a TechBio Company headquartered in San Francisco. Our mission is to unleash personalized medicine using AI and multi-omics, multimodal data. Elucidata’s platform Polly, helps research teams wrangle, store, manage and analyze large volumes of biomedical data. We are at the forefront of driving AI in personalized medicine R&D across companies like Pfizer, Janssen, Owkin 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 Series A round led by Eight Roads, F-Prime, and our existing investors. About the Role : As a Solution Manager, you will drive customer retention and expansion by managing a book of business, ensuring successful project delivery, prospecting for new cross sell & upsell opportunities, and creating innovative solutions. You will collaborate with Technical Owners and Subject Matter Experts, ensuring alignment between customer needs and business goals. Key Responsibilities: Book of Business Management: Build and nurture relationships with key stakeholders, including champions and economic buyers. Monitor account-level margins to ensure profitability. Liaise with Revenue Operations team on invoicing, Revenue recognition, financial forecasting. Ensure deliverables are aligned with customer success metrics through Mutual Success Plans. Secure renewal agreements and identify cross-sell and upsell opportunities. Prospecting and Solution Architecture for Cross-Sell: Map customer organizations to uncover new personas and decision-makers. Perform discovery calls to prospects for new use cases and solutions. Develop tailored solutions suited for customer’s usecase Develop reusable case studies and impactful sales materials (solution briefs, presentations). Conduct market research to strategically align solutions with customer pain points and industry trends. Delivery and Collaboration : Act as the customer’s voice within Elucidata, ensuring all teams are aligned to deliver exceptional customer experience. Collaborate with Technical Owners and Subject Matter Experts to ensure smooth and agile project execution. Set up an account pod structure for each customer, incorporating members from various functions such as technical owners, engineering, product, AI/ML, and more. Pull in relevant teams as necessary to ensure comprehensive solutions are delivered to the customer. Conduct regular project reviews to maintain quality. Key Metrics : Net Revenue Retention (NRR): Includes renewal, upsell, and cross-sell dollars. Utilization percentage (hours, credits) Account health indicators (Business reviews, Mutual Success Plans, NPS) Discovery calls for new use cases (cross-sell) Customer advocacy (testimonials, references, case studies & collaterals building) Required Skills : Education: Undergraduate degree in Bioinformatics, Life Sciences, or a related field (MBA preferred). Experience: 5+ years in customer-facing roles, with a focus on business development, customer success, or solution selling (Bioinformatics/Life Sciences preferred). Technical Skills: Strong understanding of bioinformatics platforms; experience in cloud/software/ML is a plus. Customer Relationship Management: Proven ability to manage client relationships, uncover opportunities for cross-sell/upsell, and ensure solutions align with business objectives. Communication & Collaboration: Excellent problem-solving skills and ability to work across teams. Tools: Proficiency in Salesforce, LinkedIn Sales Navigator, and project management tools.
Job Title: Solutions Manager/ Account Manager Function: Delivery Location: Delhi/Bangalore (3 days in office) About the Company: Elucidata is a TechBio Company headquartered in San Francisco. Our mission is to unleash personalized medicine using AI and multi-omics, multimodal data. Elucidatas platform Polly, helps research teams wrangle, store, manage and analyze large volumes of biomedical data. We are at the forefront of driving AI in personalized medicine R&D across companies like Pfizer, Janssen, Owkin and many more. We were recognised as the &aposMost 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 Series A round led by Eight Roads, F-Prime, and our existing investors. About the Role : As a Solution Manager, you will drive customer retention and expansion by managing a book of business, ensuring successful project delivery, prospecting for new cross sell & upsell opportunities, and creating innovative solutions. You will collaborate with Technical Owners and Subject Matter Experts, ensuring alignment between customer needs and business goals. Key Responsibilities: Book of Business Management: Build and nurture relationships with key stakeholders, including champions and economic buyers. Monitor account-level margins to ensure profitability. Liaise with Revenue Operations team on invoicing, Revenue recognition, financial forecasting. Ensure deliverables are aligned with customer success metrics through Mutual Success Plans. Secure renewal agreements and identify cross-sell and upsell opportunities. Prospecting and Solution Architecture for Cross-Sell: Map customer organizations to uncover new personas and decision-makers. Perform discovery calls to prospects for new use cases and solutions. Develop tailored solutions suited for customers usecase Develop reusable case studies and impactful sales materials (solution briefs, presentations). Conduct market research to strategically align solutions with customer pain points and industry trends. Delivery and Collaboration : Act as the customers voice within Elucidata, ensuring all teams are aligned to deliver exceptional customer experience. Collaborate with Technical Owners and Subject Matter Experts to ensure smooth and agile project execution. Set up an account pod structure for each customer, incorporating members from various functions such as technical owners, engineering, product, AI/ML, and more. Pull in relevant teams as necessary to ensure comprehensive solutions are delivered to the customer. Conduct regular project reviews to maintain quality. Key Metrics : Net Revenue Retention (NRR): Includes renewal, upsell, and cross-sell dollars. Utilization percentage (hours, credits) Account health indicators (Business reviews, Mutual Success Plans, NPS) Discovery calls for new use cases (cross-sell) Customer advocacy (testimonials, references, case studies & collaterals building) Required Skills : Education: Undergraduate degree in Bioinformatics, Life Sciences, or a related field (MBA preferred). Experience: 5+ years in customer-facing roles, with a focus on business development, customer success, or solution selling (Bioinformatics/Life Sciences preferred). Technical Skills: Strong understanding of bioinformatics platforms; experience in cloud/software/ML is a plus. Customer Relationship Management: Proven ability to manage client relationships, uncover opportunities for cross-sell/upsell, and ensure solutions align with business objectives. Communication & Collaboration: Excellent problem-solving skills and ability to work across teams. Tools: Proficiency in Salesforce, LinkedIn Sales Navigator, and project management tools. Show more Show less