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Job Description
Responsibilities
Develops and constructs data products and services and integrates them into used systems and business processes
Accesses, cleans, prepares the data, ensuring it can be reused as needed'
Designs, builds, and maintains data pipeline architecture - ingest, process, and deliver data to stakeholders
Batch processes collected data, formats data in an optimized way to bring it analyze-ready
Understands the customer/stakeholder’s business needs/priorities and helps building solutions that support our business goals
Will be working in a multi-disciplinary team with focus on bio- and cheminformatics projects, in this team you will be accountable for data engineering and sometimes data science parts
Collaborates and works with other data engineers and designs, develops and maintains data pipelines to extract data from a variety of sources and populate data lake and data warehouse
Understand available AI/ML models, train and finetune the models on R&D data in animal health
Conduct AI/ML feasibility and proof of concept studies focused on animal health data
Includes specializations within domains, such as R&D with focus on Biology and Chemistry
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
Experience with data storage and processing technologies (e.g., SQL, ETL jobs, DataBricks, NoSQL)
Experience with GitHub or similar tools for collaborative software development
Effective at working with business partners to understand their needs to translate them into clear requirements.
Fluent in English; Good communication and coordination skills to align and manage activities, ideally with agile methodologies.
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
Experience with Chem-/Bioinformatics tech stack (e.g., Rdkit, sklearn, Jupyter, R, Conda, Nextflow)
Familiarity with NLP and AI technics is a plus
Experience with public cloud providers, such as AWS, GCP, or Azure (AWS is preferred) is a plus
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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