Job Description

About the Role

==================



We are seeking an experienced

Data Science Manager

in our team at Inizio. 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.

Key Responsibilities

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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.

Required Qualifications

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7+ years of experience

in data science or advanced analytics roles, with at least

2-3 years in a leadership or managerial capacity

. Good to have 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
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.