Katya Zlateva
@katyazlateva
Data Scientist and process automation engineer delivering compliant, data-driven optimization in pharma.
What I'm looking for
I’m a Process Development & Automation Engineer turned Data Scientist, with 10+ years in Pharma & MedTech and a recent MS in Statistics. I bring international experience across Europe and the US, combining domain expertise with statistical inference and machine learning.
In pharma and medical devices, I led product development and executed process validation, risk assessment (FMEA), and technology transfer—driving tangible outcomes like 1MM annual savings. I strengthened process capability and product quality using statistical methods such as SPC, MSA, and DOE, supported by tools like Minitab.
More recently, I’ve applied automation and control expertise to pharmaceutical environments, developing and optimizing HVAC control systems and executing commissioning (FAT/SAT) plus IQ/OQ/PQ qualification in compliance with GAMP5 guidance. I’m comfortable bridging engineering rigor with operational requirements, so data and systems translate into reliable decisions.
I also built depth through graduate-level teaching and consulting—serving as a Teaching Assistant for Probability and Statistical Inference and conducting statistical consulting to identify students at risk of dropping out. My professional ethos is simple: use evidence-based modeling and clean engineering practices to improve performance, compliance, and decision-making.
Experience
Work history, roles, and key accomplishments
Develop and optimize HVAC control systems for pharmaceutical environments using cascade PID control. Execute commissioning and IQ/OQ/PQ qualification of automation systems in compliance with GAMP5 guidance.
Led product development of Class III implantable drug-eluting medical devices from concept through in vivo animal studies and clinical builds. Conducted characterization, process validation, risk assessment (FMEA), and technology transfer of drug products.
Contributed to development and validation work for Class III implantable drug-eluting medical devices, including characterization and technology transfer. Applied statistical methods to enhance process capability and product quality.
Supported product development for Class III implantable drug-eluting medical devices and contributed to characterization, process optimization, and validation activities. Worked on technology transfer efforts, including risk assessment and statistical quality methods.
Acted as a liaison between R&D and Global Manufacturing and Supply for dry powder inhalers from early-stage formulation development through technical transfer. Analyzed critical quality attributes using Minitab and Power BI to support management planning.
Designed and executed formulation and scale-up/down studies to support seamless technology transfer of solid oral dose forms to the Dupnitsa site. Coordinated cross-functional teams to prepare and review global regulatory submissions and ensure compliance.
Optimized fluoropolymer production processes to reduce batch cycle time and increase plant capacity. Supported operational improvements in a manufacturing environment.
Research & Development Engineer Co-op
Rex Medical
Jan 2012 - Jan 2013 (1 year)
Performed functional testing of vascular closure devices to support validation and verification (V&V). Contributed to testing efforts aligned to verification/validation activities.
Education
Degrees, certifications, and relevant coursework
California State University, Fullerton
Master of Science in Statistics, Statistics
2023 - 2025
Grade: GPA: 4.00/4.00
Master of Science in Statistics at California State University, Fullerton (Aug 2023–Aug 2025).
Drexel University
Bachelor of Science in Chemical Engineering, Chemical Engineering
2010 - 2015
Grade: GPA: 3.39/4.00
Bachelor of Science in Chemical Engineering at Drexel University (Sep 2010–Jun 2015).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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