Alexey Latyshev

Prinicipal Statistical Programmer at Resolutum Global Pty Ltd
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Location
Brisbane, Queensland, Australia, AU

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Credentials

  • SAS Certified Base Programmer for SAS 9
    SAS
    Jun, 2017
    - Sep, 2024

Experience

    • Australia
    • Pharmaceutical Manufacturing
    • 1 - 100 Employee
    • Prinicipal Statistical Programmer
      • Aug 2021 - Present

    • Australia
    • Biotechnology Research
    • 700 & Above Employee
    • Manager, Statistical Programming
      • Jan 2021 - Jul 2021

      Team development, programming resources allocation, budget and timelines negotiation- Line management of the programming team (6-9 direct reports)- Support and mentoring of statistical programmers- Negotiation of the project timelines and budgets including out-of-scope tasks- Conducting interviews with potential candidates- SAS Server environment support and migration assistance- Standardisation of the programming environment- Programming SOPs development- Programming of ADaM/SDTM/non-CDISC datasets/TLFs and quality control

    • Statistical Programming Team Lead
      • Mar 2020 - Jan 2021

    • Principal Statistical Programmer
      • Dec 2019 - Mar 2020

      Clinical trials data analysis (phases I-IV) using SAS- Production of statistical tables, figures and listings (TLFs) and quality control- Development of derived datasets (including ADaM and SDTM) and their specifications- Organisation and management of statistical outputs development- Communication with external and internal clients- Preparation of randomisation schedules- Statistical Analysis Plans (SAP) and mock shells development- Data reconciliation and checks

    • Senior Statistical Programmer
      • May 2019 - Dec 2019

    • Statistical Programmer
      • Aug 2017 - May 2019

    • Australia
    • Animation and Post-production
    • 500 - 600 Employee
    • Software Developer
      • Aug 2016 - Jul 2017

      Software development in computer graphics, visual effects and natural phenomena simulation using C++ and Python - Developed new tools and techniques to work with a wide range of computer simulations (e.g., hair, feathers, fabrics, vegetation, etc.) using analytical and numerical techniques - Collaborated with digital artists in order to create efficient and convenient solutions - Designed and optimised algorithms targeted to high-performance systems - Worked with graphics software: Autodesk Maya, Houdini, etc. and their APIs. - Involved in production of animated feature films: Lego Batman (2017), Lego Ninjago (2017), Peter Rabbit (2018)

    • United States
    • Research Services
    • 700 & Above Employee
    • Statistical Analyst
      • Feb 2016 - Jul 2016

      Clinical trials data analysis using SAS - Created clinical trial reports and datasets (ADaM, SDTM and client-defined analysis datasets, tables, listings and figures - TLFs) - Developed SAS and VBA macros - Provided quality control according to guidelines, GCP and other applicable standards and regulations Clinical trials data analysis using SAS - Created clinical trial reports and datasets (ADaM, SDTM and client-defined analysis datasets, tables, listings and figures - TLFs) - Developed SAS and VBA macros - Provided quality control according to guidelines, GCP and other applicable standards and regulations

    • Australia
    • Higher Education
    • 700 & Above Employee
    • Data Analyst and Software Engineer PhD Researcher
      • Feb 2013 - Feb 2016

      Sydney Institute for Astronomy: Astronomical data analysis, signal processing, building algorithms to improve quality of image reconstruction in optical interferometry using Python (including NumPy, SciPy and Matplotlib libraries) - Developed and optimised several image reconstruction algorithms - Developed a library to simulate atmosphere and binary stars - Optimised existing code for binary stars detection to run 10-20 times faster Learning & Affect Technologies Engineering: Developing ways of estimating effectiveness and safety of Internet-based interventions - Created design and basic prototype of the software framework to measure the influence of different types of software on a person's wellbeing (Java, JavaScript, C++, SQL) - Set up a database to collect data from various sources (e.g., questionnaires, sensors, social media

    • United States
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Statistical Programmer II
      • Sep 2010 - Feb 2013

      Clinical trials data analysis using SAS- Created tables, listings and figures (TLFs) according to the dataset specifications for 20 different projects with various sponsors- Developed analysis datasets and specifications (including ADaM) for 10 projects- Quality control of datasets, TLFs and datasets specifications for more than 10 projects- Participated in 2 internal audits- Followed required guidelines, ICH-GCP and applicable local and international regulations- Participated in Worldwide Macro and Application Development team, developed SAS and VBA macros to be used in projects within company- Assisted in project management (including start-up activities and team coordination) in 5 projects- Mentored and trained junior statistical programmers- Collaborated with project team members in different areas (Data Management, Biostatisticians, etc.), including international teams

    • Statistical Programmer
      • Sep 2010 - May 2012

    • Software Development
    • 1 - 100 Employee
    • Software Engineer
      • Oct 2008 - May 2010

      Software development in computer vision, robotics and machine learning areas using C and C++ - Maintained and developed OpenCV (Open Source Computer Vision) and ROS (Robot Operating System) libraries in collaboration with Willow Garage company - Developed and tested algorithms for machine learning, image processing and feature detection - Created and tested 5 different versions of code for electric outlets detection in images - Optimised computer vision algorithms Software development in computer vision, robotics and machine learning areas using C and C++ - Maintained and developed OpenCV (Open Source Computer Vision) and ROS (Robot Operating System) libraries in collaboration with Willow Garage company - Developed and tested algorithms for machine learning, image processing and feature detection - Created and tested 5 different versions of code for electric outlets detection in images - Optimised computer vision algorithms

Education

  • QUT (Queensland University of Technology)
    Bachelor of Design, Interior Architecture
    2021 - 2026
  • State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
    Master's degree, Computational and Applied Mathematics
    2008 - 2010
  • State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
    Bachelor's degree, Computational and Applied Mathematics
    2004 - 2008

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