What if the work you did every day could impact the lives of people you know? Or all of humanity?

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Why Us

We are a multi-disciplinary and multinational team focused in using next-generation sequencing technology to transform human health and save patient's lives. Our team works at the interface of research and clinical practice developing and improving innovative algorithms to call variants and biomarkers that fill gaps in clinical practice, focusing primarily on oncology. We collaborate deeply with internal and external teams, to augment DRAGEN, Illumina's software platform to analyze high-throughput sequencing data, and remove barriers for its use in clinical settings.

Why You

We know the importance of your role and offer you a collaborative and supportive environment in which you are actively encouraged to develop your skills and knowledge. Illumina's mission is to improve human health by unlocking the power of the genome – if that inspires you, let's talk. If you are excited as we are about using genomics to transform the practice of medicine, have a proven track record of algorithm development, data analysis, and strong coding ability, this is the role for you. You will be part of a culture fueled by innovation, collaboration, and openness.

The Role

The Staff Bioinformatics Scientist will drive the development of secondary analysis algorithms for variant and biomarker detection to support treatment decisions based on the cancer's molecular profile. This role will also involve designing R&D studies, with external collaborators, to demonstrate the clinical utility of NGS in oncology treatment and prototyping software implementations.

Responsibilities:

• Assess and improve existing secondary analysis algorithms for variant and biomarker detection
• Prototype novel secondary analysis algorithms
• In collaboration with external and internal experimental teams, design and analyze experiments to support existing or new Illumina oncology assays.
• Provide technical guidance to internal and external collaborators.
• Participate in cross functional assay and algorithm R&D teams with minimal oversight.
• Effectively communicate plans and results across functions.

All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.

Requirements:

• PhD in bioinformatics, computation biology, statistics, math or related field with 3+ years industry experience
• Fluency in at least two of statistics, common bioinformatics methods, NGS analysis, and oncology.
• Experience with developing bioinformatics NGS algorithms and methodology.
• Fluency in programming languages such as Python. Experience with C++ is desired.
• Good communication skills to contribute to cross functional project teams and work with stakeholders.

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.

Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.

Tagged as: Life Sciences