Microbiome Bioinformatics Scientist — Cloud Genomics

Ferring Pharmaceuticals Inc.; Minneapolis (MN); On-site; USD 94,000 - 135,000; Full time

Benefits offered by this job

401k with company match

Paid parental leave

Wellness benefits

Tuition reimbursement

Paid holidays

Job summary

Ferring Pharmaceuticals Inc. in Roseville, Minnesota is seeking a Scientist, Microbiome Bioinformatics to design and implement reproducible genomic workflows, translate omics data into mechanistic hypotheses, and support R&D through data-driven insights.

The role emphasizes cloud-based workflows (AWS), CI/CD practices, Linux, and coding in Python and R, with collaboration across teams and opportunities to contribute to publications and scientific advances.

Qualifications

• Advanced degree in computer science, bioinformatics, genomics, biostatistics or related field.
• Minimum of one year of experience in omics sciences, preferably microbiome.
• Proficiency in developing, deploying, and running cloud-based bioinformatic workflows.
• Proven experience in Linux, AWS, coding in Python and R.
• Excellent writing, communication, and organizational skills.

Responsibilities

• Design, develop, test, deploy, maintain and run reproducible genomic workflows for microbiome data analysis.
• Use CI/CD, containerization, and cloud computing to support research and production goals.
• Collaborate on data mining and translation of bioinformatic insights for R&D and clinical initiatives.
• Translate methods into modular, reusable computational workflows.
• Develop automated tests to verify workflow functionality and data integrity.
• Create, curate and maintain datasets and resources for omics data usage.

Skills

Linux

AWS

Python

R

Cloud workflows

Education

MS/PhD in Computer Science or Bioinformatics

Tools

AWS

Job description

Ferring Pharmaceuticals Inc. in Roseville, Minnesota is seeking a Scientist, Microbiome Bioinformatics to design and implement reproducible genomic workflows, translate omics data into mechanistic hypotheses, and support R&D through data-driven insights.

The role emphasizes cloud-based workflows (AWS), CI/CD practices, Linux, and coding in Python and R, with collaboration across teams and opportunities to contribute to publications and scientific advances.