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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
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
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