Bioinformatics Engineer-San Diego, CA, US

OMG Technology•San Diego, CA

5d•Hybrid

About The Position

We are seeking a Bioinformatics Engineer for our client based out of San Diego, CA. This is a hybrid role. The Bioinformatics Engineer will design and implement bioinformatics analyses to support the development of novel assays, improvement of assays under development, and hypothesis testing requested by the Product Development and Computational Biology team. This role involves collecting and documenting product and software requirements and findings, designing and implementing software modules for these requirements and for automating data analyses, and assisting with the integration of software modules into pipelines. The position also requires preparing and providing information for scientific communications, identifying and addressing trends in study data, and working collaboratively in cross-functional teams. Upholding company mission and values, and supporting the Quality Management System are also key aspects of the role. The role requires the ability to work on various devices for approximately 50% of the day and involves travel between local Exact Sciences locations and away from the work location.

Requirements

Bachelor’s degree in Software Engineering, Computer Engineering, Computer Science, or field as outlined in the essential duties.
4+ years of experience, or equivalent combination of experience and education as outlined in the essential duties.
Experience with software ticketing, progress tracking, and timeline tracking systems: JIRA, Smartsheet.
Knowledge and adherence to good coding and documentation practices.
Knowledge of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics.
Working knowledge of statistical and mathematical methods in biology/genetics/genomics, including experience with statistical software, such as JMP or R.
Basic computer skills to include Internet navigation, Email usage, and word processing.
Proficient in Microsoft Office to include Excel, Word, and PowerPoint.
Demonstrated ability to perform the essential duties of the position with or without accommodation.
Authorization to work in the United States without sponsorship.

Nice To Haves

Advanced degree (PhD or Masters).
6+ years of relevant experience.
Experience in an FDA-regulated environment, ideally in medical device development.
Experience with computer vision, image analysis, or machine-learning workflows in a biomedical or scientific setting.
Experience in a biotech manufacturing environment, preferably in an GMP and/or ISO environment.
Familiarity with Laboratory Information Management Systems (LIMS), Next-Generation Sequencing (NGS), and clinical and diagnostic test development.
Experience with PDP (Product Development Process) and/or Cancer Genomics.

Responsibilities

Design and implement bioinformatics analyses to support the development of novel assays, improvement of assays under development, and hypothesis testing requested Product Development and Computational Biology team.
Collect and document product and software requirements and findings from analyses executed by themself and others.
Design and implement software modules implementing the requirements collected from data analyses.
Assist with the integration of software modules into pipelines.
Design and implement software modules to automate data analyses.
Prepare and provide information and data for scientific abstracts/conferences/project meetings/publications.
Identify and address trends in study data.
Ability to work collaboratively in cross-functional teams.
Strong written and verbal communication skills.
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
Support and comply with the company’s Quality Management System policies and procedures.
Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 50% of a typical working day.
Ability and means to travel 10% between local Exact Sciences locations.
Ability to travel 5% of working time away from work location, may include overnight/weekend travel.