Data Science Intern: AI & Life Sciences (Paid) Location: Pune (Hybrid) Type: Paid Internship (6 months, potential extension/absorption) Company: Dizzaroo – Transforming Drug Discovery Development with AI About Dizzaroo At Dizzaroo, we are building AI-first tools to transform drug discovery development . We explore, unravel, and organize complex biological, clinical, and scientific data to help bring new treatments to patients faster. We value bold ideas, flexibility, and a “no idea is a crazy idea” mindset. Role Overview We are seeking Data Science Interns to join our team in curating and cleaning specialized datasets for AI model fine-tuning in the life sciences domain . You will work with structured data (clinical, biomedical, genomic) and unstructured data (scientific publications, clinical protocols) to build high-quality datasets for our AI workflows supporting drug discovery development. This is a unique opportunity to gain hands-on experience at the intersection of AI, data science, and life sciences while working with cutting-edge tools and graph-based data infrastructure. What You Will Do Curate, clean, and annotate domain-specific datasets , including: Scientific publications, clinical protocols, and regulatory documents for training large language models. Biomedical and genomic data for structured AI pipelines. Use advanced tools and databases (Weaviate, Neo4j, SQL/NoSQL) to organize and manage large-scale, multimodal datasets . Support data pipeline validation and quality checks to ensure clean, structured training data for AI models. Assist with document chunking, metadata tagging, and knowledge graph development to enhance retrieval and structuring of scientific and clinical data. Collaborate with AI engineers and domain experts to align data curation with project goals . What We’re Looking For Background: Pursuing or recently completed a Bachelor's/Master’s in Data Science, Computer Science, Life Sciences, Biomedical Engineering, or related fields. Skills: Strong in at least one domain with working knowledge of the other: If your strength is data science , you should have: Proficiency in Python (libraries like pandas, numpy, pytorch). Exposure to SQL , and ideally to graph/vector databases (Neo4j, Weaviate). Experience with data cleaning, ETL workflows, or text processing (NLP preprocessing) . Curiosity to understand life sciences contexts . If your strength is life sciences , you should have: Knowledge of biomedical or clinical data structures , scientific literature, or genomics. Ability to use Python or spreadsheets for basic data analysis . Interest in applying data science tools to life sciences problems. Mindset: Comfortable with ambiguity and learning complex domain contexts. High attention to detail with a commitment to data quality . Aligns with Dizzaroo’s values of creativity, flexibility, and challenging the status quo. What You Will Gain Exposure to real-world AI model training pipelines using structured and unstructured data in drug discovery development. Experience with advanced data infrastructure and tooling for cutting-edge AI workflows. Opportunity to contribute to impactful projects across knowledge management, multimodal data integration, and computer vision in diagnostics . Potential pathway to full-time opportunities with Dizzaroo based on performance. How to Apply Send your CV and a brief note on why you are interested in this role to kalpeshp@dizzaroo.com with the subject:
Push the Boundaries of LLM Performance – Lead Post-Training Innovation in Life Sciences AI At Dizzaroo Pvt Ltd, we are building AI-powered platforms that transform the pharmaceutical and life sciences industry — from drug discovery to digital pathology to clinical trial automation. Large Language Models (LLMs) are at the core of several of our applications. But we’re not simply plugging in APIs — we’re customizing, aligning, and post-training these models to handle high-stakes, domain-specific biomedical and regulatory content. We are looking for a seasoned AI/ML expert who understands the full post-training lifecycle of LLMs — not just running a fine-tuning job in a managed platform, but architecting and executing large-scale post-training projects from dataset curation to deployment. Position AI/ML Expert – Post-Training of Large Language Models (LLMs) Location: Pune (Hybrid; remote options for exceptional circumstances) Key Responsibilities Lead post-training workflows for domain-specific LLMs, including supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and other alignment methods. Design and implement large-scale training pipelines — from data preprocessing to distributed training and evaluation. Curate domain-specific datasets for biomedical, regulatory, and clinical contexts. Experiment with parameter-efficient fine-tuning techniques (LoRA, QLoRA, adapters) and prompt optimization strategies. Benchmark model performance on domain-relevant evaluation suites and iterate to improve accuracy, reliability, and explainability. Collaborate with product and domain teams to ensure model outputs meet regulatory-grade precision. Qualifications Proven hands-on experience with post-training of LLMs beyond basic managed-service fine-tuning. Proficiency in PyTorch and transformers libraries (Hugging Face, DeepSpeed, Megatron-LM, or similar). Experience in distributed training, large-scale GPU/TPU clusters, and optimization for high-parameter models. Strong understanding of LLM architecture, tokenization strategies, and memory optimization techniques. Experience with biomedical or technical text corpora is a plus. Bachelor’s/Master’s/PhD in Computer Science, AI/ML, or related field. What We Value End-to-end ownership — you’ve run a project from dataset to deployed model. Curiosity and deep technical engagement with model internals. The ability to explain complex ML workflows to both engineers and non-technical stakeholders. Comfort working in ambiguous, fast-moving R&D environments. Why Join Us Shape the next generation of domain-specific LLMs for life sciences. Work at the cutting edge of AI + healthcare with a highly interdisciplinary team. Opportunity to set technical direction for high-impact AI initiatives. How to Apply Send the following to dhirajg@dizzaroo.com Cover Letter – Describe your most significant LLM post-training project. CV/Resume . Links to code, research, or demos that showcase your work.
Job Title: Consultant – Clinical Trials, Global Regulatory Application Specialist for AI Application Location: Pune (Remote / Flexible) About Us Dizzaroo Private Limited is developing an AI-powered application to streamline and accelerate the global clinical trial application process. Our platform is designed to simplify the preparation, submission, and tracking of regulatory packages worldwide. Role Overview We are seeking a domain expert with hands-on experience in global clinical trial regulatory submissions to guide the design and structure of our regulatory application packages. This is a consulting role where your expertise will help ensure our AI-driven solution meets the highest industry standards and regulatory expectations. Key Responsibilities Provide strategic and technical input on the design of global clinical trial application packages Advise on country-specific requirements for clinical trial applications Collaborate with our product and AI development teams to ensure regulatory accuracy and compliance Share best practices for document management, indexing, and submission workflows Offer insights into integration with regulatory systems and health authority portals Support identification of trial master file (TMF) content requirements for inclusion in the platform Qualifications Strong background in global clinical trial regulatory submissions (IND, CTA, IMPD, etc.) Experience preparing submission-ready documents in line with ICH, EMA, FDA, and other country-specific guidelines Trial Master File (TMF) experience is a plus Familiarity with electronic submission standards (eCTD, country-specific formats) preferred Ability to work closely with cross-functional and technical teams Why Join Us? Shape a first-of-its-kind AI platform in the regulatory space Flexible consulting arrangement — work from anywhere Collaborate with a passionate, innovation-driven team How to Apply: Send your resume/CV and a short note on your relevant experience to dhirajg@dizzaroo.com or apply directly here on LinkedIn.
AL/ML: Delivery Lead / Senior Engineering Leader Location: Pune, India (Dizzaroo Pvt Ltd) Type: Full-time About Us Dizzaroo Pvt Ltd is a fast-growing startup based in India, building AI-powered solutions for the life sciences industry. We are working at the intersection of drug discovery, clinical trial automation, and digital pathology. Our platforms bring together engineering, AI, and medical expertise to accelerate the development of life-saving therapies. The Role : AL/ML: Delivery Lead / Senior Engineering Leader We’re looking for a senior engineering leader who can drive delivery across multiple AI and software applications. This role is both strategic and hands-on: you’ll provide architectural and operational oversight while also rolling up your sleeves to tackle challenges directly. This is not a “big company management” role—it requires a nimble startup mindset. You’ll be expected to adapt quickly, make pragmatic decisions, and thrive in an environment where the problems are complex, the resources lean, and the ambition sky-high. Key Responsibilities Engineering Delivery & Operations Ensure operational excellence across multiple AI and data-driven applications. Oversee DevOps, CI/CD pipelines, cloud deployments (Azure preferred), and system reliability. Balance speed of delivery with high-quality engineering standards. Technology & Architecture Leadership Define scalable, secure, and future-ready architectures for diverse applications. Make smart, lean technology stack choices aligned with startup realities. Be ready to dive in hands-on when complex technical problems arise. Startup-Style Leadership Mentor and inspire a team of engineers while setting the cultural tone of accountability and ownership. Be comfortable wearing multiple hats: technical architect, delivery manager, and sometimes problem-solver-in-chief. Anticipate challenges early, fix them fast, and keep momentum going. Business & Strategic Contribution Work directly with the founder and leadership team to align engineering execution with business priorities. Help establish operational processes (budgeting, hiring, vendor management) as we scale. Shape the foundation of an engineering organization that can grow into a global operation. What We’re Looking For Experience: 10+ years in software engineering, including 3–5 years in senior engineering or delivery leadership. Skills: Strong background in cloud (Azure), DevOps, microservices, and scaling modern AI/ML applications. Mindset: A nimble, startup-oriented leader—willing to roll up sleeves, solve problems directly, and thrive in ambiguity. Leadership: Proven ability to manage multi-application delivery and guide engineering culture. Domain Curiosity: Exposure to healthcare/life sciences is a plus, but curiosity and a willingness to dive into this mission-driven space are essential. Why Join Us? Impact that matters: Work on platforms that may accelerate the development of new cancer therapies and life-saving drugs. Pilots in Place: Three pilots being signed up with one of top global pharma company Growth trajectory: Early leadership hire with potential to scale into high level leadership roles . Startup energy: A flat, fast, and collaborative culture—where ownership is expected and celebrated. Exciting frontier: AI, drug discovery, and digital pathology are converging to open unprecedented opportunities. If you’re a builder at heart, comfortable in ambiguity, and excited by the idea of solving hard problems that matter , we’d love to hear from you.