Cultivating a multidisciplinary
approach

Life science marketers face immense pressure to analyze and apply an abundance of data, amplified further thanks to the influx of AI. But with great power comes great responsibility.

Anyone can upload data into a cloud-based AI platform. Responsible deployment of AI, however, demands more than clicking buttons, especially when interpreting, articulating and fielding questions about results. Here is where Confluminetix applies three complimentary pillars of expertise.

Comprehensive life science background

Domain knowledge spanning reagents, software and equipment for:

Molecular biology
Cancer biology
Downstream processing of biologics and small molecule therapeutics including oligonucleotide-based medicines
Pharmaceutical microbiology QC testing
Biopharmaceutical, cell & gene therapy and traditional sterile market segments

MarCom moxie

Agency and industrial marketing and communications experience including:

Content creation
Go-to-market & product launch expertise
Crafting marketing plans
Tradeshow management
Voice-of-customer/market research and segmentation
Public relations, including media pitching

Data science exposure

Familiarity with data mining and machine learning to:

Perform exploratory data analysis, including feature engineering
Recognize when and how to deploy supervised and unsupervised learning techniques
Understand the justification for using different algorithms, including assumptions and limitations
Frame problems based on the CRISP-DM methodology
Manipulate data and visualize trends in R Studio

Relevant applications

Building on the skills outlined above and motivated by a commitment to continuous learning, additional interests, in no particular order, include:

Predicting the likelihood of engagement
Conducting marketing segmentation
Implementing predictive lead scoring
Optimizing campaign ROI
Marketing mix modeling/econometrics
Outcome-driven innovation (ODI)

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