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MSD Software Engineer Scientific Data Analytics 
Czechia 
79579983

24.11.2024

Job Description

Purpose of the role

  • In this position, you are responsible for cleaning and preprocessing data, conducting exploratory analysis, data dashboarding and predictive analytics to extract insights and make data-driven decisions.

  • In this position, you play a vital role in integrating and analyzing diverse data sources, collaborating with cross-functional teams.

  • In this position, you will support the identification of potential drug candidates, optimization of lead compounds, and the discovery of biomarkers and synergies. Contribute to the advancement of drug discovery processes (Chemical and Biological).

  • Develops and supports products, tools and other technology applications for downstream data and application consumption

  • Collaborates with engineering teams to develop front end and back-end code based on prioritized requirements/user stories

  • Develops working software & unit tests based on the solution design within the solution’s architecture

  • Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse

Main responsibilities

  • Designs and develops user-centric data visualization solutions utilizing complex data sources.

  • Translates business requirements into specifications

  • Collaborates with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions

  • Enables delivery of data-analytics and business intelligence projects

  • Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem.

  • Understands the customer/stakeholder’s business needs/priorities and helps building solutions that support our business goals

Qualifications

  • Academic level – e.g., graduated bachelor’s or master’s degree in one of the STEM fields ideally applied on Biochemistry. Ideally with some experience in Life Science

  • Strong programming skills in Python, R or another scripting language

  • Solid programming skills and knowledge of data bases, SQL, Informatica and statistical methods

  • Experience with Dashboarding Tools like Power BI, Spotfire, Pipeline Pilot / KNIME

  • Experience with data storage and processing technologies (e.g., SQL, ETL jobs, DataBricks, NoSQL)

  • Effective at working with business partners to understand their needs to translate them into clear requirements

  • Experience with DevSecOps practices, such as continuous integration (CI) and continuous delivery (CD), containerization (e.g., Docker), version control systems (e.g., Git)

  • Domain knowledge Biology and/or Chemistry

  • Fluent in English; good communication skills

What we offer

  • Exciting work in a great team, global projects, international environment

  • Opportunity to learn and grow professionally within the company globally

  • Hybrid working model, flexible role pattern

  • Pension and health insurance contributions

  • Internal reward system plus referral programme

  • 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution

  • Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card

  • Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes

  • Up-to-date laptop and iPhone

  • Parking in the garage, showers, refreshments, massage chairs, library, music corner

  • Competitive salary, incentive pay, and many more



Current Contingent Workers apply




AWS Cloud Computing, Continual Improvement Process, Researching, Solutions Design


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