Daniel S.

molecular biologist & bioinformatician

Looking for a job at big data, system biology and data analysis

Последнее обновление резюме 04.08.2016
Адрес Moscow, Russian Federation
Электронная почта Заблокировано
Телефон Заблокировано
Соцсеть или сайт Заблокировано

Опыт

Laboratory for Regulation of Transcription and Replication, Moscow State University
Researcher
Окт 2015 - Текущий
Researching effects of proteins involving in aging and tumorigenesis (like PARP-1) on chromatin-organized DNA (at epigenetic level)

Data analyst
Авг 2015 - Ноя 2015
Analyzing scientific & medical data to compilate database
Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, RAS
Researcher (cytologist)
Окт 2013 - Дек 2014
-preparing and evaluating cell specimens
-preparing and analyzing healthy and malignant murine tissue samples (by applying special staining techniques)
-histopathomorphological analysis
-cell cultivating
-testing of immunomodulators

Образование

Lomonosov Moscow State University
Molecular biologist
Сен 2012 - Текущий
Bachelor's degree at Department of Biology (molecular biology)

В чем вы сильны?

Interests: big data & data mining, system biology, synthetic biology, gene therapy, molecular biology, bioinformatics, epigenetics, cell biology

SKILLS:

Molecular biology & biochemistry

  1. Standard PCR
  2. Step-out PCR, Nested PCR
  3. Electrophoresis (agarose, PAAG)
  4. coli transformation
  5. Molecular cloning (ligation, restriction, target gene expression etc)
  6. in vitro transcription
  7. Chromatography
  8. Isoelectric focusing
  9. Electrophoretic Mobility Shift Assay (EMSA)

Immunology

  1. Enzyme-linked immunosorbent assay (ELISA)
  2. Ouchterlony double diffusion
  3. Mancini radial immunodiffusion
  4. Rocket immunoelectrophoresis
  5. Western blotting

Bioinformatics

  1. Quality control and correction of raw sequence data
  2. de novo genome assembly, resequencing, SNP analysis
  3. Genomic and transcriptomic data analysis, mutation annotation
  4. Sequence alignment; homolog for a gene finding
  5. Database analysis
  6. Data mining
  7. Python, R programing

In vivo

  1. Working with murine models
  2. Preparing and evaluating cell specimens
  3. Preparing and analyzing healthy and malignant murine tissue samples
  4. Histopathomorphological analysis
  5. Cell cultivating
  6. Testing of immunomodulators

Расскажите о себе что-нибудь еще: публикации, конференции, хобби

Certificates & Participations:

- Pharma's Cool-2015 (Skolkovo Institute of Science and Technology)

- NGS-2015 conference (Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, RAS)

- Bioinformatics Hackathon (Moscow Institute of Physics and Technology (State University) - MIPT, Phystech)

- Bioinformatics school (Bioinformatics Institute)

- Autumn School "Biotech of the Future" (Future Biotech)