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Company

Original Job Post

BioSpace · 3 days ago

Senior Manager of Decision Sciences - Predictive Analytics

Thousand Oaks, CA

Full-time

Hybrid

Mid, Senior Level

6+ years exp

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Comp. & Benefits

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Responsibilities

Lead the development of patient and HCP level predictive analytics capabilities across Amgens commercial organization, demonstrating machine learning and AI.

Build high-performance algorithms, prototypes, predictive models, and proof of concepts.

Identify business needs and proposing potential analytics approaches for solutions.

Identify data needs to measure and prove the value of pilots and help shape strategy and inform investment prioritization.

Work with cross-functional teams to build an activation strategy and execute the recommendations at both HCP and patient level.

Build frameworks for measuring multiple Test & Learns

Work with partners to develop time bound goals, track, and monitor the progress and present the findings in a timely fashion to the executive sponsors.

Ensure that both routine and ad-hoc projects follow all Amgen SOPs and meet service-level expectations for quality, timeliness, and budget.

Qualification

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StatisticsOperations ResearchMathematicsEconometricsBusiness AdministrationQuantitative FieldManagerial ExperienceProblem-SolvingLeadershipData ScienceDecision ScienceAIMachine LearningQuantitative MethodsPredictive Modeling/B TestingCohort StudiesCase-control StudiesDigital MarketingGoogle AnalyticsCRMContent Management SystemsIS/IT PartnershipCommunicationCollaborationOwnershipPresentation

Required

Doctorate degree and 2 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field

Masters degree and 6 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field

Bachelors degree and 8 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field

Associates degree and 10 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field

High school diploma / GED and 12 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field

AND

2 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources

Preferred

Extensive secondary analytics experience in the life sciences space, with experience in addressing brand/business questions from both decision science and secondary analytics perspective

Ability to collaborate with various partners to translate business requirements into analytical plan and communicate complex ideas/solutions in order to influence practical decision making

Ability to take ownership of projects independently

Relevant data science certifications and Bio/pharmaceutical industry experience

6+ years of innovative Data Science/Advanced Analytics experience

Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modeling and other analytics frameworks/techniques with 6+ years of experience delivering complex analytical projects

Expertise in setting up A/B testing, cohort studies, and matched, case-control studies

Understanding of tagging, Google Analytics, CRM, Content Management Systems, and other aspects of a Digital Marketing Ecosystem

Excellent oral, written and presentation skills to explain complex concepts and sensitive findings clearly to a variety of audiences, including senior management

Understanding of technology platforms and ability to partner with IS/IT and business leaders