Lead Scientist in Computational Protein Engineering

2 weeks ago


Harrisburg, Pennsylvania, United States Johnson & Johnson Full time

Company Overview:
At Johnson & Johnson, we are dedicated to creating a healthier world. Our commitment to healthcare innovation drives us to develop solutions that prevent, treat, and cure complex diseases.

Position Summary:
We are seeking a Senior Scientist, Full Stack Developer/Software Engineer – Protein Design to join our dynamic team. This role is integral to our Therapeutics Discovery organization, focusing on advancing our in silico molecular design and simulation efforts.

Key Responsibilities:

  • Utilize infrastructure as code (IaC) tools, such as Terraform, to enhance cloud resource management.
  • Leverage extensive Python programming skills to create software tools and pipelines essential for therapeutic discovery.
  • Design and maintain web applications that facilitate user-friendly access to our protein design platforms for cross-functional teams.
  • Develop and optimize machine learning models to support innovative research in protein design and structural modeling.
  • Implement and oversee workflow systems like Flyte, Nextflow, or Airflow to streamline complex design and modeling tasks.
  • Contribute to DevOps practices, ensuring high availability and performance of our platforms through continuous integration and deployment (CI/CD) methodologies.

Qualifications:
Applicants should possess a PhD in Biomedical Engineering, Biochemistry, Computational Biology, Computer Science, Structural Biology, Biophysics, Material Science, or a related quantitative field with a minimum of 3 years of relevant experience. Alternatively, a Master's degree in a similar field with at least 5 years of experience is acceptable.

Candidates must demonstrate:

  • Extensive knowledge of cloud computing infrastructure, with a preference for AWS experience.
  • Experience in high-performance computing (HPC) environments, optimizing computational workflows for bioinformatics and machine learning tasks.
  • Proficiency in DevOps practices, including automation, containerization, and incident management.
  • Strong programming skills in Python, with a history of developing software solutions in scientific contexts.
  • Front-end development skills and an understanding of user experience (UX) principles.
  • Familiarity with workflow management systems to support scalable research pipelines.
  • Knowledge of machine learning infrastructures and experience in training ML models for scientific research.

Work Environment:
This position offers the potential for remote work arrangements, subject to company approval.

Compensation and Benefits:
Johnson & Johnson offers competitive compensation packages, including performance-based bonuses and comprehensive employee benefits.

We are an Equal Opportunity Employer, committed to diversity and inclusion in the workplace.



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