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Seda AratSA
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Seda Arat

@sedaarat

I build AI and data science strategies for pharmaceutical safety and vaccine portfolios.

United States
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What I'm looking for

I'm interested in leading AI and data science innovation, building external partnerships, advancing forecasting and predictive models, and translating interdisciplinary research into strategic portfolio decisions.

At Pfizer, I design AI innovation strategies through academic, venture capital, and start-up partnerships while advancing forecasting for vaccine portfolio programs.

I've led computational toxicology and data science initiatives spanning safety signal prediction, immune profiling, auto-immunity risk assessment for COVID-19 mRNA vaccine-associated myocarditis, and a graph-based enterprise webtool developed with IBM and Pfizer teams. My work combines predictive machine learning, knowledge graphs, bioinformatics, and cross-functional decision-making.

Previously, I transformed phenotypic, ChIP-Seq, Affinity-Seq, sequencing, and microarray data into actionable research insights at The Jackson Laboratory, GSK, UConn Health, and Virginia Tech. I hold a Ph.D. in Applied Mathematics and bring experience in mathematical modeling, algorithm development, teaching, and interdisciplinary research.

Experience

Work history, roles, and key accomplishments

Pfizer logoPF
Current

Data Science Organization Enablement Lead in Commercial Analytics & AI

Jun 2024 - Present (2 years 2 months)

Design and implement AI innovation strategies through external partnerships (academic, venture capitals and start-ups) and drive operational excellence across the organization
• Learn and apply forecasting models for Vaccine portfolio programs
• Conduct research and analysis to identify emerging trends, opportunities, and best practices in the field of data science, and provide recommend

Pfizer logoPF
Current

Data Science Organization Enablement Lead

Jun 2024 - Present (2 years 2 months)

Design and implement AI innovation strategies through external partnerships and drive operational excellence. Conduct research and analysis to identify emerging trends and opportunities in data science.

Pfizer logoPF
Current

Senior Principal Computational Toxicologist / Data Scientist in Drug Safety R&D

Jan 2019 - Present (7 years 7 months)

Develop and drive innovative approaches to inform target, compound, species and biomarker identification and aid in the understanding of nonclinical and clinical safety concerns
- Build a partnership with the biotech company called Plex Research for evaluation of their AI-based knowledge graph in portfolio projects for hypothesis generation and orthogonal validation
- Responsible for computa

The Jackson Laboratory logoTL

Data Scientist / Postdoctoral Associate at the Carter Lab

Aug 2015 - Jan 2019 (3 years 5 months)

Apply knowledge of current research trends and techniques to 3 projects that require:
- Quality control, data analysis and hypothesis generation: transformed raw data into actionable information, depending on the data type (phenotypic data, ChIP-Seq data, Affinity-Seq data)
- Volunteering in Research IT: built and managed a laboratory information management system

GlaxoSmithKline logoGL

Scientist Student Co-op

Aug 2013 - Jul 2014 (11 months)

Analyzed highly complex and diverse data sets, evidenced by 2 journal publications:
- next generation sequencing data at 2 different time points to investigate the impact of antibiotic administration and dosage in the human gut
- microarray data generated by 3 different technologies to repurpose FDA-approved drugs for Tuberculosis therapy

Virginia Tech logoVT

Graduate Teaching / Research Assistant

Dec 2009 - Aug 2013 (3 years 8 months)

- Performed detailed analysis of complex biological systems, including text mining, mathematical and computational modeling, and algorithm development, resulting in 3 journal publications and 10+ presentations in North American conferences
- Instructed 10+ mathematics and interdisciplinary courses (computer science, statistics, physics, biology, chemistry) to 100+ undergraduate students with mat

Education

Degrees, certifications, and relevant coursework

UP

University of Pennsylvania

VT

Virginia Tech

Doctor of Philosophy (Ph.D.), Applied Mathematics

2010 - 2015

VT

Virginia Tech

Master of Science (M.Sc.), Applied Mathematics

2010 - 2012

UP

University of Pennsylvania

Master of Engineering (M.Eng.), Computer and Information Technology

2008 - 2009

AU

Ankara University

Bachelor of Science (B.S.), Mathematics

2001 - 2005

Virginia Tech logoVT

Virginia Tech

Doctor of Philosophy, Applied Mathematics

2010 - 2015

Doctor of Philosophy in Applied Mathematics from Virginia Tech, completed from 2010 to 2015.

Tech stack

Software and tools used professionally

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