Senior Data Scientist (Pharma / Healthcare)
WFA Digital Insight
The demand for skilled data scientists in the pharma and healthcare sectors has grown significantly, with a 25% increase in job postings over the past year. As companies strive to leverage AI and machine learning to drive commercial effectiveness, professionals with expertise in predictive modeling and GenAI agent development are in high demand. Dawar Consulting's commitment to innovation and customer satisfaction makes this role an attractive opportunity for those looking to make a meaningful impact. With the remote work trend on the rise, candidates should be prepared to showcase their ability to work independently and collaboratively in a virtual environment. Before applying, it's essential to highlight relevant experience in data science, machine learning, and pharma commercial, as well as a strong understanding of MLOps best practices.
Job Description
About the Role
The Senior Data Scientist role at Dawar Consulting is a unique opportunity to work with a world leader in biotechnology and life sciences, building data science and AI-driven solutions to enhance commercial effectiveness. As a key member of the team, you will be responsible for developing predictive models, scaling Next Best Action solutions, and creating GenAI agents to drive business growth. Your expertise in machine learning, data science, and AI will enable actionable insights for stakeholders across various functions, including Sales, Marketing, and Advanced Analytics.The day-to-day responsibilities of this role will involve collaborating with cross-functional teams to identify business problems, designing and implementing data-driven solutions, and communicating complex technical concepts to non-technical stakeholders. Your ability to work independently and as part of a team will be essential in driving project success.
As a Senior Data Scientist, you will have the opportunity to work on high-impact projects, contributing to the development of predictive patient event modeling, Next Best Action engines, and GenAI-powered decision agents. Your experience in pharma commercial and data science will be valuable in driving business growth and improving customer engagement.
What You Will Do
- Build predictive models for patient events and HCP engagement using machine learning algorithms and techniques
- Scale Next Best Action solutions across brands and channels to drive business growth
- Develop GenAI agents, RAG workflows, and AI-powered decision tools to enhance commercial effectiveness
- Design and implement end-to-end ML pipelines using Databricks, AWS/Azure ML, and other relevant tools
- Apply MLOps best practices, including model versioning, monitoring, and CI/CD
- Work with healthcare datasets, including claims, EHR, CRM, and digital engagement data
- Collaborate with Sales, Marketing, and Analytics teams to deliver insights and drive business growth
- Partner with stakeholders to identify business problems and design data-driven solutions
- Communicate complex technical concepts to non-technical stakeholders
What We Are Looking For
- Master's or PhD in a quantitative field, such as computer science, statistics, or mathematics
- 5-7+ years of experience in data science, machine learning, or a related field, with a focus on pharma commercial
- Strong proficiency in Python, SQL, and machine learning modeling
- Experience with LLMs, GenAI frameworks, and LangChain/AutoGen
- Hands-on experience with Databricks, AWS/Azure ML, and other relevant tools
- Strong understanding of MLOps best practices, including model versioning, monitoring, and CI/CD
- Experience working with healthcare datasets and collaborating with cross-functional teams
Nice to Have
- Experience with cloud-based data platforms, such as AWS or Azure
- Knowledge of containerization using Docker and Kubernetes
- Familiarity with Agile development methodologies and version control systems, such as Git
- Experience with data visualization tools, such as Tableau or Power BI
Benefits and Perks
- Competitive hourly rate
- Comprehensive benefits package, including medical, dental, and vision insurance
- Paid sick leave and 401K matching
- Opportunity to work on high-impact projects with a world leader in biotechnology and life sciences
- Collaborative and dynamic work environment with a team of experienced professionals
- Flexible remote work arrangements, with the option to work from home or in a shared office space
- Professional development opportunities, including training and education programs
- Access to cutting-edge technologies and tools, including machine learning and AI platforms
How to Stand Out
- Showcase your experience in data science, machine learning, and pharma commercial, highlighting specific projects and achievements.
- Develop a strong portfolio of work, including examples of predictive models, Next Best Action solutions, and GenAI agents.
- Be prepared to discuss your understanding of MLOps best practices, including model versioning, monitoring, and CI/CD.
- Highlight your ability to work independently and collaboratively in a virtual environment, with experience in remote work arrangements.
- Research the company and role, preparing thoughtful questions to ask during the interview process.
- Emphasize your strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Consider highlighting any experience with cloud-based data platforms, containerization, and data visualization tools.
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