Director - Data Science -Healthcare Analytics

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Director

Job 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, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll 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 industry-specific 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. scikit-learn, 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 problem-solving and critical-thinking abilities
• Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical 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 cross-functional teams to identify business challenges and develop data-driven solutions tailored to the pharma and life sciences sector.
• Leverage in-depth 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 decision-making and improve healthcare outcomes.
• Stay up-to-date 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 high-quality 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, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 50 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes

Job Posting End Date

April 30, 2025