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  • Heidelberg

  • At PAICON we put healthcare first. We want to push the boundaries of the healthcare and diagnostic sector by harnessing the power of machine learning and cloud computing. We believe that digital health solutions will truly be an entirely new way to empower doctors and patients. That will be the key force behind the transformation of healthcare. We are excited to build on our vision with our enthusiastic team- which is the core of our company.

    We are a startup where everyone has a place to put ideas on the table. Our PAICON mantra is to make an impact while you "grow" with our company!

    In PAICON, "growth" | sparks with curiosity & passion | starts with initiative & innovation | prospers with teamwork & communication.

    Tasks

    • Collect, analyze and interpret information from peer-reviewed scientific journals and publicly accessible databases with biomedical content to enhance data processing strategies.
    • Collaborate in gathering and processing clinical data, specifically focusing on histopathology images such as Whole Slide Images (WSI), complemented by high-throughput sequencing data.
    • Develop and maintain data quality check pipelines. Harmonize data from various sources ensuring consistency and accuracy.
    • Maintain a comprehensive database to support advanced data mining activities, ensuring data integrity and accessibility for the team.
    • Harmonize datasets of various origins, including imaging and sequencing data, by applying appropriate statistical and bioinformatics techniques.
    • Assist in the preparation of reports and the extraction of data as needed.
    • Identify and troubleshoot data-related issues, ensuring data integrity and reliability. Authorize and oversee the implementation of necessary data maintenance or modifications.
    • Initiate and take a leading position in data-driven biomedical research projects
    • Work closely with bioinformaticians and AI specialists. Convey complex data concepts in English

    Requirements

    • Master's degree or PhD in Bioinformatics, Computational Biology, or a similar field
    • Proficient in scientific programming languages Python, R & Shell script as well as frameworks to analyze biomedical images. (PyTorch, OpenCV)
    • Knowledge of database architecture and development is highly desirable.
    • Knowledge of pipeline/workflow languages is a plus. (Nextflow)
    • Experience in High Performance Computing environments such as SLURM, LSF and PBS.
    • Have a keen understanding of the sources and implications of bias in data.
    • Strong analytical skills, especially in statistics
    • Proficiency in handling biomedical data, especially imaging data, knowledge on array- and sequence data is a plus.
    • Very good English communication skills, German is a plus

    Benefits

    What is waiting for you at PAICON:

    • We are an open-minded and motivated team that collaborates to achieve innovation
    • Comprehensive onboarding and a supportive work environment that fosters learning.
    • Streamlined decision-making processes with minimal bureaucracy.
    • Flexible and trust-based working arrangements, including a hybrid model and holidays like Christmas and New Year's Eve off.
    • Your efficiency should not be hampered due to lack of equipment- we provide you with all the necessities to show your full potential
    • We also want to prioritize your personal and professional growth: let's define together your goals and development opportunities at PAICON
    • Join us for a drink and spend quality time with the team - we believe innovative ideas are crafted best with joint efforts!

    If you're passionate about crafting cutting-edge solutions, thrive in a collaborative environment, and are committed to making a lasting impact, we invite you to explore.

    As long as you have the eagerness to learn, and grow and have the confidence that you can a make difference with and within PAICON we would be happy to hear from you even if you do not meet 100% of the requirements!

    We are looking forward to getting to know you! #Cheers

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