About Inizio Ignite

We are Inizio Ignite, the global advisory partner for health and life sciences encompassing connected expertise across Research Partnership, Putnam, STEM, and Vynamic. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – helping healthcare leaders shape strategy and drive meaningful change. 

About the Role

We are seeking an experienced Data Science Manager to join our team at Inizio Ignite. The ideal candidate will bring deep machine learning expertise, strong GenAI and cloud competencies, and hands-on experience delivering analytical solutions that drive meaningful business impact for life sciences clients.

This leader will manage data scientists, oversee project delivery, partner with cross-functional teams, and shape the development of innovative AI/ML solutions.

What you'll be doing

Leadership & Delivery

• Lead and manage a team of data scientists, providing technical guidance, mentorship, and performance oversight.
• Own end-to-end delivery of data science and GenAI engagements for pharma/biotech clients.
• Translate business problems into analytical frameworks and ensure high-quality, timely project execution.
• Drive adoption of AI/ML capabilities across client engagements and internal initiatives.

Technical Responsibilities

• Architect, design, and review ML, statistical, and GenAI solutions, ensuring scalability, accuracy, and alignment with business objectives.
• Oversee the development, validation, and deployment of predictive models, NLP pipelines, and GenAI-based applications (e.g., summarization, insights automation, generative workflows).
• Lead cloud-based solution deployment (AWS, Azure, or GCP) including orchestration, MLOps best practices, and integration with enterprise systems.
• Ensure adherence to model governance, compliance, and responsible AI frameworks.

What you'll need

• Extensive experience in data science or advanced analytics roles, with at least 2–3 years in a leadership or managerial capacity.
• Ideally prior experience in pharmaceutical, biotech, or healthcare consulting is mandatory.
• Strong expertise in machine learning, NLP, deep learning, and GenAI (LLMs, prompt engineering, RAG, fine-tuning, embeddings).
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP; exposure to MLOps frameworks preferred.
• Proficiency in Python, SQL, and common DS/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, etc.).
• Proven experience managing teams, delivering client projects, and presenting to senior stakeholders.
• Good to have understanding of pharma datasets (claims, RWE, clinical, medical insights, social data) and key use cases.
• Experience building GenAI solutions in production environments

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.

Role Overview: 

As an Insights/Secondary research - CoE team member, you will partner closely with global consulting teams to deliver high quality secondary research, market insights, and targeted analyses that inform strategic recommendations for our life sciences clients. You will develop a strong foundation in the life sciences industry and exposure to a diverse set of strategic questions across the product lifecycle. The work will span questions related to clinical development, commercialization, pricing and market access, launch planning, corporate and investor strategy, diagnostics, and new product planning.

Key Responsibilities:

• Conduct targeted secondary research on diseases, therapies, competitors, clinical pipelines, and market dynamics using public and proprietary data sources (e.g., EvaluatePharma, GlobalData, Navlin, MMIT, AnswerSuite, company filings, HTA portals).
• Synthesize research findings into clear, structured, and slide‑ready deliverables, including market landscapes, analytical frameworks, and concise written insights.
• Develop disease, assets, and company overviews; treatment algorithms; guideline and standard of care maps; and epidemiology driven market context summaries to support a broad range of strategic work.
• Perform analog research and benchmarking across launch, uptake, access, pricing, evidence generation, and go‑to‑market strategies to inform strategic decision‑making
• Summarize HTA, payer, and reimbursement decisions, identifying key value messages, evidence expectations, pricing and access outcomes, and drivers of payer decisions across markets.
• Prepare structured competitor and payer relevant profiles, including strategy, evidence, positioning, and deal or funding activity, to support both project and internal business development needs.
• Build and maintain reusable research assets, including competitive landscapes, analog libraries, launch timelines, and technology and policy trend trackers.
• Support qualitative research efforts by helping prepare discussion guides, synthesizing interview notes, and organizing insights for hypothesis testing.
• Work with global consulting colleagues to clarify problem statements, refine research questions, and iteratively improve output based on feedback.
• Contribute to the creation of templated outputs that integrate research insights into overall project deliverables (e.g., storyline aligned slides, appendices, and supporting materials).
• Ensure quality and consistency of research outputs by adhering to internal standards, referencing guidelines, and formatting best practices.
• Participate in internal knowledge building initiatives, including upkeep of internal knowledge repositories, templates, and best practice examples.

Qualifications & Requirements:

• 4-6 years of experience in life sciences consulting, market research, competitive intelligence, HTA / HEOR support, or similar insights focused roles.
• Undergraduate or master’s degree in a life science discipline (e.g., biology, biochemistry, pharmacology, biotechnology, pharmacy) or related field.
• Demonstrated interest in the global biopharmaceutical industry and strategic questions related to R&D, commercialization, pricing & access, launch and lifecycle management, diagnostics, and corporate / investor strategy.
• Ability to independently execute well-scoped research workstreams (e.g., literature scans, competitive profiles, basic epidemiology/market sizing desk research) with moderate oversight.
• High attention to detail in referencing, data checking, and ensuring consistency of narratives and exhibits across multiple sources.
• Strong written and verbal communication skills in English, with the ability to translate complex scientific and commercial concepts into accessible, actionable insights.
• Highly analytical and structured approach to organizing information and building logical narratives from evidence.
• Enthusiasm for collaborating with distributed global teams and comfort working across time zones.
• Strong proficiency in Microsoft PowerPoint and Excel; familiarity with common life science data and literature sources (e.g., clinical trial registries, scientific literature, company reports, analyst reports) is a plus.
• Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office.