Director - Data Science -Healthcare Analytics
Director - Data Science -Healthcare Analytics
Posted on :
07-04-2025
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1 Vacancy
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
DirectorJob Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.As part of our Analytics and Insights Consumption team youll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. Youll use visualization statistical and analytics models AI/ML techniques Modelops and other techniques to develop these insights.
Years of Experience: Candidates with 16 years of hands on experience
Required Skills:
- 15 years of relevant experience in pharma & life sciences analytics with knowledge of industry trends regulations and challenges.
- Proven track record of working within the pharma and life sciences domain addressing industryspecific issues and leveraging domain knowledge to drive results.
- Knowledge of drug development processes clinical trials regulatory compliance market access strategies and commercial operations.
- Strong knowledge of healthcare industry trends regulations and challenges
- Proficiency in data analysis and statistical modeling techniques
- Good knowledge of statistics Data analysis hypothesis testing and preparation for machine learning use cases
- Expertise in GenAI AI/ML and data engineering
- Experience in machine learning frameworks and tools (For e.g. scikitlearn mlr caret H2O TensorFlow Pytorch MLlib)
- Familiarity with programming in SQL and Python/Pyspark to guide teams
- Familiarity with visualization tools for e.g.: Tableau PowerBI AWS QuickSight etc.
- Excellent problemsolving and criticalthinking abilities
- Strong communication and presentation skills with the ability to effectively convey complex concepts to both technical and nontechnical stakeholders
- Leadership skills with the ability to manage and mentor a team
- Project management skills with the ability to prioritize tasks and meet deadlines
Responsibilities:
- Lead and manage the pharma life sciences analytics team providing guidance mentorship and support to team members.
- Collaborate with crossfunctional teams to identify business challenges and develop datadriven solutions tailored to the pharma and life sciences sector.
- Leverage indepth domain knowledge across the pharma life sciences value chain including R&D drug manufacturing commercial pricing product planning product launch market access and revenue management.
- Utilize data science GenAI AI/ML and data engineering tools to extract transform and analyze data generating insights and actionable recommendations.
- Develop and implement statistical models and predictive analytics to support decisionmaking and improve healthcare outcomes.
- Stay uptodate with industry trends regulations and best practices ensuring compliance and driving innovation.
- Present findings and recommendations to clients and internal stakeholders effectively communicating complex concepts in a clear and concise manner.
- Collaborate with clients to understand their business objectives and develop customized analytics solutions to meet their needs.
- Manage multiple projects simultaneously ensuring timely delivery and highquality results.
- Continuously evaluate and improve analytics processes and methodologies driving efficiency and effectiveness.
- Stay informed about emerging technologies and advancements in pharma life sciences space identifying opportunities for innovation and growth to provide thought leadership and subject matter expertise
Professional and Educational Background:
- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Coaching and Feedback Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection DataDriven Insights Data Integration Data Integrity Data Mining Data Modeling 50 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
YesJob Posting End Date
April 30 2025Required Experience:
Director
Employment Type
Full-Time
Key Skills
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