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Natalya S

Biologist

Occupation:

Biologist

Location:

Saint Paul, MN

Education Level:

Doctorate

Will Relocate:

YES

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Professional Profile • Effective communicator fluently translating languages of statistics, technology, and biology to people with different backgrounds. • Solution driven with extensive experience in data analysis and design/implementation of technical solutions for scientific projects. • Experienced in working with multiple clients, oriented on client’s goals. • Experienced in managing multiple projects with good prioritizing and organizational skills. • Resourceful and creative self-starter with aptitude to translate and interpret complex client reqirements into custom solutions. Areas af Expertise • Biology (genetics, genomics, physiology, gene expression). • Bioinformatics (DNA/protein sequence analysis, phylogenetic analysis, protein secondary structure prediction, promoter analysis, protein/ DNA sequence and phylogenetic databases) • Data analysis and management; high throughput data analysis. • Statistics (experimental design, liear models, multivariate analysis, nonparametric methods). • Data mining; Data integration and abstraction (statistical models). • Design/implementation of Lab Information Management Systems (LIMS) and data mining software. • Consulting on statistical and computational methods in biology.

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COMPANY POSITION HELD DATES WORKED

(Confidential) (Confidential) 10/2001 - Present
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Highlights:

Companies I like:

Monsanto, Pioneer, Syngenta, Mayo Clinic, Seminis, Cargill

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• Statistical analysis of gene expression data (evaluated and deployed existing statistical approaches and developed new methods for the normalization and evaluation of microarray data; microarray data quality analysis). • Analysed and mined microarray datasets; developed hypotheses and planned follow up experiments. • Conducted data acquisition and quality assessment of experiments for researchers from the laboratory and collaborators. Data curation. • Developed and implemented LIMS for microarray data which includes statistical module and relational database. • Designed and implementated software to integrate, mine, and analyse gene expression data. • Hired and supervised temporary personnel for microarray gridding. • Trained and consulted researchers from the lab, collaborators, and temporary personnel on use of appropriate software and/or appropriate statistical methods. • Prepared regular reports and presentations. • Authored and participated in preparation of scientific manuscripts.
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