Position: Senior Software Engineer
Category: .NET
English level: upper
Years of experience: 6

- Took part in the development of multiple software products from scratch (i.e. from client concept to production-ready application)

- Authored and co-authored more than 50 publications with more than 120 citations in molecular biology, immunology, and microbiology areas

- Mentored more than 10 students, 4 of them already successfully defended their Ph.D. theses in biochemistry, molecular biology, microbiology and biotechnology
I'm a software engineer with vast experience in full-stack development, specializing in back-end development, and a proven track record of working as a molecular biology researcher with a Ph.D. in academia.

- Engineered, maintained, and led multiple software products for education, insurance, CRM, risk management, and procurements:
-- Back end: .NET Core (2, 3, 5+), and .NET Framework
-- Databases: PostgreSQL, MySQL, and SQL Server
-- Front end: Vue.js, jQuery, Java Script (native)
-- Architecture highlights: layered architecture, CQRS, event-driven architecture, SPA, REST API, MVC
    
- Proficient in DevOps activities: 
-- Engineered CI/CD pipelines for automated software deployment for more than 10 projects (Linux and Windows servers, GitLab, Azure, AWS, with Octopus Deploy, or scripts in bash, PowerShell, or internal scripting languages)
-- Integrated secure infrastructure for corporate software deployment in AWS with an infrastructure-as-code approach, allowing infrastructure deployment and modification with a few lines of code (Terraform)

- Have a background in life sciences as a researcher:
-- Designed and conducted research experiments (Flow Cytometry, Confocal Microscopy, Molecular Cloning, etc) with further image and data analysis (Origin, Statistica, Python custom scripts, MATLAB, ImageJ)
-- Authored publications
-- Presented results at conference talks
-- Led workshops on image analysis for scientists
I'm not interested in working in the gaming and gambling industry.
I'm highly interested in jobs at the intersection of software development and life sciences (molecular biology, genetics, biomedicine, healthcare, etc.), but I'd gladly review other areas except those mentioned above.
I started to look to modern data science approaches, which may be very resultative in interpreting biological science and medical data. I finished an online data science and machine learning course (approx 30h) but have no production experience. Thus I may consider vacancies that include a transition from software development to data science.