About the role
We are looking for passionate and driven professionals to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting expertise. If you are excited about working on impactful solutions in the healthcare analytics space and want to be part of a high-performance, fast-growing team, we’d love to hear from you.
Job Summary
The Senior Manager – Decision Sciences role requires 7–12 years of experience in commercial analytics within the pharmaceutical industry, specifically focusing on complex project delivery and team leadership. This position involves leading the strategic planning of projects like Multichannel Marketing Mix and Investment Optimization while guiding the end-to-end product development lifecycle. Key requirements include a master’s or doctoral degree in a quantitative field, advanced proficiency in Python, R, or SAS, and a deep understanding of AI/ML applications
RESPONSIBILITIES
ProjectPlanningandDelivery(Operations):
• Collaborate with cross-functional teams to define project objectives, deliverables, timelines, and resource requirements.
• Ensure effective project management, including scope management, risk assessment, and mitigation strategies.
• Monitor project progress, identify bottlenecks, and implement corrective actions to ensure timely delivery of high-quality solutions.
Drive the development and enhancement of analytical products and solutions for commercial and marketing analytics.
• Conduct market research and stay updated on industry trends, emerging technologies, and best practices.
• Collaborate with internal stakeholders, including data scientists, software developers, and domain experts, to define product requirements.
• Guide the product development lifecycle, from ideation and prototyping to testing, deployment, and maintenance.
• Design, Develop, and deploy complex and innovative analytical solutions for clients.
ResearchandDevelopment(R&D):
• Conduct ongoing research on statistical methodologies, data analytics techniques, and emerging trends in the pharmaceutical analytics domain.
• Evaluate the feasibility and applicability of new statistical models, algorithms, and AI/ML approaches.
• Collaborate with the R&D team to design and conduct experiments, analyse results, and propose innovative solutions.
• Translate research findings into actionable insights and contribute to thought leadership through publications, white papers, or conference presentations.
Requirements
QUALIFICATIONREQUIRED:Amaster'sordoctoraldegreeinarelevantfieldsuchasappliedstatistics and mathematics,data science,computerscience, operations research ora relateddiscipline.
• 7-12yearsofexperienceincommercialanalytics/decisionsciences,inthepharmaceutical industry.
• Provenexperienceinmanaginganddeliveringcomplexprojectswithinthepharmaanalyticsdomain.
• StrongexpertiseincommercialanalyticslikeMultichannelMarketingMixMeasurement & Investment Optimization,Campaign Analytics,HCP/Account Segmentation and Performance Analyticsetc.
• PreferredexperienceinPatient/ MarketAccess/SalesAnalytics.
• Experienceleadingandmentoringteamsoncomplexanalyticalprojects.
• Advanced knowledge of statistical analysis tools and programming languages such as Python, R, SAS, SQL, etc.
• Strong understanding of AI/ML techniques and their applications in decision sciences.
• Excellent communication and interpersonal skills. Ability to effectively collaborate with cross- functional teams and build relationships with clients.
• Strong leadership abilities to guide and mentor team members.
COMPETENCIES:
Communicating withInfluence
Analysis&Problemsolving
ProfessionalExpertiseDevelopment
Stronginterpersonalskills, with an abilitytotakepeoplealong
Capitalizesonopportunitiestopursuevalue.
Bringsissuesoutintheopensothatallconcernscanaddress
andfindsolutions.
Hasanopenandlearning mindset.
Adaptstonewlearningapproachesandmethods