Лаборант/Молекулярный биолог (отдел сервисных научных проектов)

Описание

Temirlan Kulboldin
Almaty, Kazakhstan
Email: k.temoha@gmail.com

Biostatistics | Bioinformatics | Population Biology
EDUCATION
Al -Farabi Kazakh National University | Almaty, Kazakhstan
MSc in Genetics / GPA : 3.87 /4
• Full merit -based Kazakhstan Government scholarship
• Master’s Thesis: Comparative analysis of genetic diversity of Kosh im and Adai horse
breeds
Al -Farabi Kazakh National University | Almaty, Kazakhstan
BSc in Genetics / GPA: 3.55 /4
• Full merit -based Kazakhstan Government scholarship
• Bachelor’s Thesis: Analysis of the frequency of distribution of Runs of Homozygosity
in the genome of the Koshim horse breed
Sep 2023 –
Jun 2025




Sep 2019 –
Jun 2023

RESEARCH EXPERIENCE
Institute of Genetics and Physiology | Almaty , Kazakhstan
Senior lab assistant
Project: Development of complex system for training highly -qualified athletes and promising
Olympic reserve for Kazakhstani priority sports using physiological genetic evaluation
• Conducted genetic analyses to identify SNPs linked to athletic performance,
endurance, and injury risk
Kazakh Research Institute of Livestock and Foraging | Almaty , Kazakhstan
Research Assistant
Project: Improvement of meat performance in fat -rumped sheep with new methods of
selection, genetics and biotechnology
• Screen ed for SNPs, QTLs, and candidate genes associated with quality traits
• Assess ed genetic diversity and inbreeding in breeding flocks
• Conducted GWAS and annotated candidate genes to support selection strategies
Institute of Botany and Phytointroduction | Almaty , Kazakhstan
Research Assistant
Project: Studying phylogenetic and ecological -geographical aspects of rare and relict flora
species of the Shu -Ile mountains in the context of in situ and ex situ biodiversity conservation
• Genotyp ed rare and relict plant populations using molecular markers , sequencing
• Identifi ed genetic clusters and admixture using STRUCTURE, PCA, or other methods
ONLINE COURSES & PROFESSIONAL DEVELOPMENT

• Udemy: R Programming A -Z™ : R for Data Science
• Udemy: 100 Days of Code: Python Pro Bootcamp
• Udemy: Complete Linux Training Course


Jul 2023 –
Dec 2024




Nov 2023 –
Dec 2025





Sep 2024 –
Present

SKILLS
Laboratory Techniques:
DNA/RNA Extraction, PCR, RT -qPCR, Western Blot , Sanger Sequencing , Cell Culturing
Programming & Data Analysis:
R (Advanced ), Python (Intermediate ), MS Office, Virtual Machines
Research:
Experimental Design, Protocol Development, Data Interpretation, Quality Control, Scientific
Writing, Literature Review
Languages:
Kazakh (native), English (upper -intermediate ), Russian (advanced)
Soft Skills:
Fast learner, curiosity, teamwork, analytical mind, coachability
PUBLICATIONS & MANUSCRIPTS
1. Dossybayev, K.; Amandykova, M.; Orakbayeva, A.; Adylkanova, S.; Kozhakhmet, A.; Yergali, K.;
Kulboldin, T.; Kulataev, B.; Torekhanov, A. Genome -Wide Association Studies Revealed Several
Candidate Genes of Meat Productivity in Saryarka Fat -Tailed Coarse -Wool Sheep
Breed. Genes 2024 , 15 , 1549. https://doi.org/10.3390/genes15121549
2. Shaltenbay, G.; Ualiyeva, D.; Kapassuly, T.; Kozhakhmet, A.; Orazymbetova, Z.; Kulboldin, T.;
Yergali, K.; Amandykova, M.; Bekmanov, B.; Dossybayev, K. Genetic Variability and Population
Structure of Camelus from Kazakhstan Inferred from 17 STR Markers. Diversity 2025 , 17 , 459.
https://doi.org/10.3390/d17070459
3. Akhatayeva, Z.; Dossybayev, K.; Kozhakhmet, A.; Yermekova, M.; Kapassuly, T.; Yergali, K.;
Kulboldin, T.; Torekhanov, A.; Kulataev, B.; Iskakov, K.; et al. Genome -Wide Association Study for
Body Conformation Traits in Kazakh Fat -Tailed Coarse -Wool Sheep. Genes 2025 , 16 , 1023.
https://doi.org/10.3390/genes16091023
4. Abdildanov, D. S., Vesselova, P. V., Kudabayeva, G. M., Zaikov, V. F., Osmonali, B. B., Skaptsov,
M. V., Ussen, S., Kulboldin, T. S., & Friesen, N. (2025). Population analysis of psammophyte species
Allium sabulosum Steven ex Bunge in Kazakhstan. Brazilian journal of biology = Revista brasleira de
biologia , 85 , e298182. https://doi.org/10.1590/1519 -6984.298182