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Job Description
Associate Director, Data Science
As an Associate Director in Data Science, you will be focused to lead our data science team and drive the development and implementation of innovative data-driven strategies. This role is critical to shaping our data science initiatives, building advanced analytical models, and collaborating cross-functionally to enhance decision-making processes across the organization.
Should have strong understanding of Pharma healthcare industry and therapy knowledge
Design & build predictive models to forecast patient outcomes, such as readmission risk, disease progression, or response to treatment, enabling proactive care management.
Identify & define HCP segmentation and targeting, micro segmentation by content, call planning
Evaluate the effectiveness of treatments and interventions by analyzing patient outcomes data to inform clinical decision-making and improve care quality
Provide thought leadership and data science best practices to the broader Data & Analytics
Provide training & coaching to internal stakeholders to enable a self-service operating model
Continuously innovative on best practices & technologies by reviewing external resources & marketplace
People Management R&R
Leadership: Provide leadership, guidance, and mentorship to Senior Managers and Managers of analysts and data scientists. and create opportunities for professional growth.
Recognize Talent: Create platform for talent showcasing and visibility. Reward and recognizing for their contributions
Project Management: Oversee the planning demand, execution, and delivery of analytics projects, ensuring they are completed on time and within budget.
Data Governance: Establish and enforce data governance policies and procedures to ensure data quality, integrity, and security.
Continuous Improvement: Identify opportunities for process optimization and efficiency gains within the analytics function.
Risk Management: Identify and mitigate risks associated with analytics projects, such as data privacy and security risks.
Budget Management: Develop and manage the analytics budget, ensuring resources are allocated efficiently and cost-effectively.
Communication: Communicate analytics findings, insights, and recommendations effectively to non-technical stakeholders in a clear and concise manner.
Change Management: Lead change management efforts related to the adoption of analytics tools, processes, and methodologies within the organization.
Required Experience and skills:
12+ years relevant experience in data Science, consulting, analytics and data modelling with storytelling and people management
Working experience and knowledge in pharma dataset leveraging, Python, SQL, DataIKU and other data science
Working experience and knowledge in ETL process, data modeling techniques & platforms
Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.)
Experience in leveraging and managing third party vendors and contractors
Self-motivation, proactivity, and ability to work independently with minimum direction
Excellent interpersonal and communication skills
Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively
Experience in Pharma and or Biotech Industry is a plus
Current Contingent Workers apply
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
10/07/2024
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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