Scientist III, Bioinformatics .

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Position Summary:

A Scientist III, Bioinformatics individual will work collaboratively in a matrix environment and provide expertise in bioinformatics and analysis of data on new product development. You will help to develop a pipeline of products to meet our mission for quality – right the first time with the customer in mind.

Primary Duties and Responsibilities:

• Support new product introductions (NPI) and on-market products, focusing on microarray assays and consumables.
• Develop pipelines for annotation of microarrays panels with information from public databases such as dbSNP, OMIM, and ClinVar.
• Gather and process data from relevant sources, emphasizing timely execution of development activities with organized documentation of output and releases.
• Work closely with a team of bench scientists to provide interpretation of data and support troubleshooting as required.
• Establish and deploy pipelines for process automation and for AI/ML data engineering/model improvement.
• Remain up to date with the latest developments in genomics and biological informatics. You may engage with collaborators or users, and you may attend and present at scientific meetings as appropriate.

Education/Experience Requirements:

MS degree with 3+ years of industry experience or PhD in bioinformatics, computational biology, statistics, computer science, or biological sciences.

• Proficiency in Python and R, and experience with SQL.
• Experience with UNIX/Linux environment.
• Knowledge of common sequence repositories and public annotation databases.
• Familiarity with statistical methods including significance tests, linear models, ANOVA, time-course analysis.
• Familiarity with product development and/or project management is highly desirable.
• Independent with problem-solving and continuous improvement attitude.

Other Proficiencies

• Knowledge in genetics and/or molecular/chemical biology.
• Linux system administration experience is desirable.
• Effective communication skills, especially for presenting scientific results and working collaboratively in a team is required.
• Ability to work in a multi-disciplinary and geographically distributed team environment.