Protein Design – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 29 Sep 2024 17:15:02 +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 Protein Design – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Scientist I, Machine Learning https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/scientist-i-machine-learning/ Sun, 29 Sep 2024 17:15:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/scientist-i-machine-learning/ Scientist I, Machine Learning

Job Description:

    Generate:Biomedicines is at the forefront of therapeutics, merging machine learning with biological engineering and medicine to innovate Generative Biology™. This novel approach allows us to computationally generate breakthrough medicines rather than relying solely on traditional discovery methods. Our advanced machine learning-powered platform has the potential to create new drugs across various biologic modalities, representing a paradigm shift in biotherapeutic development. We are on a mission to harness the revolutionary capabilities of generative biology to transform the lives of billions, focusing on patients who need it the most. As we expand, we seek individuals who are passionate about making a significant impact through collaborative problem-solving. The machine learning team is integral to our efforts, developing generative models and algorithms to produce novel proteins efficiently. We utilize our deep understanding of generative modeling and protein biophysics to create cutting-edge systems that work in tandem with our computational and wet lab teams, ultimately leading to the development of new therapeutics. The role involves close collaboration with diverse teams to maximize the potential of both internal and external data, contributing to the design and scaling of state-of-the-art applications in protein design.

IT Languages:

  • Python
  • Pytorch
  • JAX

As a Machine Learning Scientist, you will play a pivotal role in developing and implementing foundational generative models and algorithms that are crucial for understanding and designing protein sequences, structures, and functions.:

    Develop generative models for protein design and reasoning;; Scale systems utilizing extensive GPU resources to harness biological data;; Collaborate with wet lab teams to facilitate high-impact therapeutic applications;; Engineer production-grade machine learning systems for large-scale data processing;; Present research findings in meetings and prepare communication materials for various audiences

Spoken Languages:

  • English

Skillset:

  • Machine Learning
  • Deep Learning Frameworks
  • Data Analysis
  • Generative Modeling
  • Protein Design

Soft Skills:

  • Collaborative
  • Problem Solver
  • Creative
  • Motivated
  • Rigorous

Qualifications:

  • PhD in Computational Biology, Computer Science, or a related field
  • Proven track record in innovative machine learning method development for scientific applications
  • Experience in developing ML methods applicable to protein modeling and adjacent fields

Years of Experience:

    3

Location:

    Somerville, MA, United States

Job Benefits:

  • Comprehensive health benefits
  • Retirement savings plan
  • Paid time off
  • Professional development opportunities
  • Flexible working hours

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster a dynamic and inclusive work environment that promotes innovation and collaboration. Our culture emphasizes the importance of teamwork and is dedicated to making a significant impact in the field of biomedicines. We value passionate individuals who are committed to pushing the boundaries of science and technology.

Opportunities For Advancement:

  • Growth into senior research roles, Opportunities for leadership positions, Involvement in groundbreaking projects

Visa Sponsorship:

    Available
]]> 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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