Software Engineer, Scientific Data Analytics
CZE - Central Bohemian - Prague (IT Riverview)
MSD
At MSD, we're following the science to tackle some of the world's greatest health threats. Get a glimpse of how we work to improve lives.Job Description
To our tech hub in Prague, we are looking for a Software Engineer, Scientific Data Analytics, for biological and chemical research data.
Would you like to work for one of the largest multinational pharmaceutical companies? Did you always want to work in a company where innovation is of high importance, and your work can have a real impact? Are you ready to Invent, Impact, Inspire? We would like to meet you!
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
Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
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Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
RegularRelocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
HybridShift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Agile Methodology, Artificial Intelligence (AI), Big Data, Building Architecture, Business, Data Analysis, Data Analytics, Data Engineering, Research and Development Operations, Software Development, Systems Design, Systems Development, TeamworkPreferred Skills:
AWS Cloud Computing, Continual Improvement Process, Researching, Solutions DesignJob Posting End Date:
11/5/2024*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Big Data Biochemistry Biology Business Intelligence Chemistry Data analysis Data Analytics Databricks Data pipelines Data visualization Data warehouse Docker Drug discovery Engineering ETL Git Informatica KNIME NoSQL Pharma Pipelines Power BI Python R Research Spotfire SQL Statistics STEM
Perks/benefits: Competitive pay Flex hours Gear Health care Parental leave Relocation support Team events
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