No-SQL Databases – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Tue, 24 Sep 2024 14:00:03 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png No-SQL Databases – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Bioinformatician / Data Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/bioinformatician-data-scientist/ Tue, 24 Sep 2024 14:00:03 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/bioinformatician-data-scientist/ Bioinformatician / Data Scientist

Job Description:

    Join us in tackling some of the most significant challenges in data science related to plant breeding, contributing to sustainable food production for the future. We are seeking a Bioinformatician / Data Scientist to be filled as soon as possible. This role is based at our headquarters in Einbeck, Lower Saxony, Germany, and offers a permanent full-time contract. In this position, you will engage in advanced plant breeding, employing modern data science methodologies. A proactive and creative mindset will be essential as you collaborate with breeding and research teams worldwide to develop innovative solutions. Your work will focus on building new data structures and analytical methods to address emerging challenges in breeding and molecular biology research, utilizing cutting-edge technologies such as large language models on biological datasets. You will apply machine learning tools for text mining to identify candidate genes for trait development and contribute to our internal biological recommendation systems by integrating various data sources, including multi-omics data. Proactively identifying and testing new analytical strategies will be crucial as you work effectively with cross-departmental teams and external academic and industry partners in a matrix environment. You will play a key role in shaping scientific and strategic priorities to accelerate portfolio advancement.

IT Languages:

  • Python
  • R
  • Rust
  • C/C++

The job involves various responsibilities aimed at enhancing data utilization and collaboration in plant breeding.:

    Develop and implement new data structures and analytical methods for breeding and molecular biology research;; Utilize modern technologies, including large language models, on biological data to generate innovative solutions;; Apply machine learning techniques for text mining to identify candidate genes for trait development;; Contribute to internal biological recommendation systems by integrating multi-omics and other data sources;; Proactively identify and evaluate new approaches and strategies for data analysis;; Collaborate effectively with internal teams and external partners to advance scientific initiatives;; Support and lead initiatives in a matrix environment to drive portfolio development

Spoken Languages:

  • English;; German

Skillset:

  • Deep Learning
  • Keras
  • TensorFlow
  • PyTorch
  • Structural Computational Biology
  • Protein Design
  • Molecule Docking
  • No-SQL Databases
  • Graph Databases
  • Vector Databases
  • High-Performance Computing

Soft Skills:

  • High initiative
  • Independent working style
  • Effective communication skills

Qualifications:

  • PhD in Computational Biology, Bioinformatics, Data Science or MSc in related fields with relevant experience
  • Experience in computational and programming skills with demonstrated expertise in programming languages

Years of Experience:

    5

Location:

    Einbeck, Lower Saxony, Germany

Job Benefits:

  • Flexible working hours with remote working options
  • Subsidized canteen with healthy meal options
  • Company pension scheme
  • Financial incentives for company shares
  • Childcare subsidies
  • Job bike and job ticket

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We are a family-owned business that values proximity, reliability, foresight, and independence, fostering an open and friendly working atmosphere. Our motto 'Make yourself grow' reflects our commitment to supporting the professional and personal development of our employees.

Opportunities For Advancement:

  • Professional development opportunities, Collaborative projects with academic and industry partners

Visa Sponsorship:

    Available
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