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About Inizio Medical
Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.
About Inizio Medical
Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.
Overview of the Role
We are looking for a hands-on, entrepreneurial-minded Senior Data Scientist with a sense of curiosity to join our established team of Data Scientists, Data Analysts, and Insights Liaisons. Utilizing the latest in data science, AI, ML, and NLP, you will contribute to the Medical Analytics and Innovation Team’s efforts to measure key performance indicators, unearth insights, and generate actionable recommendations on behalf of clients and quantify the impact measures can have on business success.
You will partner with senior members of the Analytics and Insights Team to help build our practice by creating reusable tools for insight modelling and benchmarking (eg, tools to align content needs across multiple data assets, and applications to evaluate the effectiveness of medical affairs activities). You will collaborate with teams across Inizio Medical (Medical Analytics and Innovation, Artificial Intelligence/Data Engineering, Client Services, Medical Strategy, etc.). As a result, you will help us transform the client conversation from project outputs to portfolio outcomes and strategic insights.
Key Responsibilities
- Lead and deliver core data science projects independently, ensuring timely and high-quality outcomes.
- Design, build, evaluate, and optimize machine learning models to solve business problems and drive decision-making.
- Clean, transform, and manipulate complex datasets to prepare them for analysis and modeling.
- Ability to work with unstructured data in various formats (e.g., JSON, XML, TXT, PDF) stored in cloud environments such as Azure Blob Storage or Amazon S3, including extracting, cleaning, and analyzing relevant information.
- Develop actionable insights and recommendations from both quantitative and qualitative analyses and effectively communicate them to the Insights team and other stakeholders.
- Experience designing and developing reusable, scalable, and maintainable data pipelines to support end-to-end workflows—including data ingestion, transformation (ETL), and downstream analytics processes such as feature engineering, model training, and reporting.
- Identify opportunities to refine and improve analytical processes and proactively propose innovative solutions or seek collaborative input to enhance them.
- Contribute to the development of new client services and deliverables, leveraging data science capabilities to add value.
- Conduct rigorous validation and quality control checks to ensure the accuracy and reliability of data and analytical outputs.
- Assess and prioritize business needs and data requirements to align project goals with organizational objectives.
- Support a range of projects concurrently.
- Manage data science projects, including timeline estimation and the need for additional resources.
Individuals in this role will:
- Be proficient in statistical methods, hypothesis testing, and probability theory
- Stay updated on leading-edge tools, technologies, and methods in data analysis.
- Understand current data context, processes, and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
- Apply query, data exploration and transformation, and basic visualization techniques to create business insights or improve data quality
- Interpret results of analyses, identify trends and issues, and develop recommendations to support business objectives
- Communicate complex information in an easy-to-understand way and influence others to take action based on the useful information provided
- Demonstrate a curiosity and entrepreneurial mindset
- Collaborate with a team of subject matter experts
What you need to succeed:
- Bachelor’s and/or advanced degree in Statistics, Physics, Economics, Mathematics, Computer Science, or a related field
- Strong background in data science with 5+ years of experience, including experience applying AI, Machine Learning, and Natural Language Processing
- Technical proficiency: experience working with tools and technologies including programming language (eg, Python, R, SQL), data visualization tools (eg, PowerBI, Tableau), utilizing large language models (eg, ChatGPT, Claude, Gemini), experience working with unstructured data in Blob and S3 storage
- Strong foundation in statistical methods and machine learning, including experience with big data processing, predictive modeling, regression techniques, and applying ML/NLP algorithms for tasks such as classification, clustering, entity recognition, and text analysis.
- Cloud platform use: experience working with cloud platforms (e.g., AWS, Azure, GCP) and version control tools such as Git, Bitbucket, or similar.
- Communication skills: able to communicate their findings and insights clearly and effectively to both technical and non-technical audiences
- Problem-solving skills: ideal candidate should be able to identify problems and develop solutions to improve processes and decision-making based on data
- Attention to detail to ensure accuracy and completeness of data analysis
- Experience with machine learning and natural language processing algorithms
- Understanding of the digital application development cycle, from concept to deployment and iterative refinement
- The ability to work on complex projects of large scope
- The ability to complete work independently after receiving general guidance on new projects
- High degree of intellectual curiosity and ability to absorb new concepts quickly and apply to real world situations
- Proactive contributor in all settings; autonomously, remote, in-office, in team meetings, with clients, in planning and in execution
Preferable Skills
- Experience working with tools and technologies Hadoop, Spark, TensorFlow, Apache
- Prior experience working in healthcare, pharmaceuticals, biotech industry
- Familiarity with the application development life cycle and best practices in software deployment
What We Offer
- Competitive salary and benefits package, including private medical insurance and company retirement plan
- Flexible, remote-first working environment with occasional travel
- The opportunity to work on cutting-edge, impactful AI projects within a global leader in healthcare communications
- A friendly and informal culture that values curiosity, collaboration, and continuous learning
Ready to Apply?
If you’re passionate about deploying data science and AI for real-world impact and thrive in a fast-paced, mission-driven environment, we’d love to hear from you.
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.Seniority level
- Seniority levelMid-Senior level
Employment type
Job function
- Job functionResearch and Science
- IndustriesBusiness Consulting and Services
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