Scientist, Microbiome Data Science & Bioinformatics

Job Description:

As a privately-owned, biopharmaceutical company, Ferring pioneers and delivers life-changing therapies that help people build families and live better lives. Our independence helps us cultivate an entrepreneurial spirit and long-term perspective that enables us to achieve growth and scale, while remaining agile and true to our ‘people first’ philosophy. Built on a 70-year plus commitment to science and research, Ferring is relentless in its pursuit of science that drives powerful discoveries and therapies to help people build families, stay healthy, and stand up to the world’s oldest enemy: disease.

The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysis approaches and create novel analytical methods. We are looking for someone who enjoys a fast-paced environment, effectively collaborates with others, and who can apply their expertise to fuel biological discoveries and analytical advancement.

With Ferring, you will be joining a recognized leader, identified as one of “The World’s Most Innovative Companies” by Fast Company, and honored by Fortune with inclusion on its “Change the World List,” for addressing society’s unmet needs. Ferring US is also Great Places to Work Certified, distinguishing it as one of the best companies to work for in the country.

Responsibilities:

Lead qualitative and quantitative human microbiome research, including data mining, data analyses, and interpretation of findings from clinical trials and research studies that align with company goals

Create, curate and maintain datasets, databases and resources for annotation and use of complex omics data

Lead integrated data mining and translation of bioinformatic insights for R&D, pre-clinical and clinical initiatives

Conceptualize, building, test, and benchmark gold standard and novel bioinformatic methods

Use and improve continuous deployment models, containerization, cloud computing, and agile practices

Independently achieve project-specific deliverables with stakeholders (internal and external) through collaboration, requirements gathering, and timeline management

Contribute to publications in peer-reviewed journals, as well as any methodological innovations

Effectively present and defend scientific work in the form of internal and external presentations

Critically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisions

Continuously learn in the fields of bioinformatics, computer science and biology including the latest methodologies, techniques, and resources

Requirements:

Advanced degree (e.g. MS or Ph.D.) in bioinformatics, genomics, biostatistics or related biological field

Minimum of one year of experience in the field of omics sciences, preferably the microbiome

Proficiency in developing, deploying, and running cloud-based bioinformatic workflows

Proven experience in Linux, AWS, coding in Python and RExcellent writing, communication, and other organizational skills including documentation & data organization

Proven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other
-omes Ferring + youAt Ferring, we offer competitive total compensation along with an exceptional range of flexible benefits, personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and m working hours that respect your lifestyle, a culture that is welcoming and equitable, and the chance to work with the industry’s most impressive people, these are just some of the ways we live our "People First" philosophy.

Our Compensation and Benefits At Ferring, base salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $115,000 to $152,000, which is the reasonable estimate of the base compensation for this role. The actual amount paid may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, education and…