10+ years experience · 6+ years in life sciences
Ann Maula
Pharmaceutical commercial analytics for consequential decisions. Ph.D., chemical engineering.
About
I turn patient claims, sales, payer, and CRM data into clear commercial decisions, such as how to define markets, identify priority customers, deploy field teams, evaluate promotions, build models, and create forecasts.
My work spans product performance, market landscape analysis, patient analytics (e.g. line of therapy, compliance, etc.), HCP and account targeting, sales force sizing, and promotional effectiveness. I work with patient-level claims, prescription and non-retail sales, DDD, payer and formulary, CRM, and other commercial data sources.
I use multiple AI models for research, coding, validation, documentation, and prototyping, pairing them with domain judgment and direct checks against the underlying data.
I enjoy untangling messy information, finding the patterns underneath, and turning it into something useful, whether for a client problem or for my own enjoyment.
Experience
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2022 — present
Consultant, KMK Consulting
Patient and commercial analytics across multiple therapeutic areas, including automated patient analyses, forecasting, targeting, segmentation, and sales-force sizing.
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2020 — 2022
Senior Associate, Axtria
Led analytics for a large biosimilars portfolio and delivered launch, sales force sizing, targeting, and segmentation analyses.
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2016 — 2020
Research Assistant, Lehigh University
Used molecular simulations to study how molecular building blocks form ordered porous materials and applied Markov state models to estimate protein-binding rates.
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2019 - 2019
Data Science Intern, OSIsoft
Turned brewery process data and pre-existing R scripts into interactive Python analytics modules and developed a fault-detection system for fermentation-tank sensor streams.
Education
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Ph.D. in Chemical Engineering
Lehigh University · Defended August 2020. Conferred January 2021.
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B.S. in Chemical Engineering
The Ohio State University · 2016
Side projects
Methods
Therapeutic areas
- Immunology
- Oncology
- Cardiology
- Biosimilars
- Neurology and migraine
- Women’s health
- Dermatology
- Rare disease
- Ophthalmology
- Vaccines
Data
- Patient-level claims (LAAD / APLD)
- DDD (Drug Distributor Data)
- Prescription and non-retail sales
- Chargebacks and 867
- Payer and formulary
- CRM and NPA
- Prime Vendor
- Google Analytics
Tools
- Python, SQL, R
- Snowflake, Dataiku
- Excel, Power BI, PowerPoint
Contact
Want to exchange ideas, collaborate on a project, or play golf? Send me a message on LinkedIn or X.