Staff Deep Learning Engineer

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.

Staff Deep Learning Engineer

Cambridge - Hub and Hybrid or Onsite

(may consider Remote based for the right individual)

We have an exciting opportunity for a Staff Deep Learning Engineer to join our global team based in Cambridge.

This is a great opportunity to be part of Illumina’s continued growth, contributing to our mission of improving human health by unlocking the power of the genome!

Illumina's employee benefits are industry-leading and include flexible time off, private medical insurance, compassion, and care time off, leisure travel insurance, pension, employee stock purchasing program, volunteer time off, and much more!

The Role: 

To accelerate the adoption of clinical sequencing, Illumina is recruiting a world-class machine learning scientist to work on the development of novel deep learning algorithms for deciphering the effects of genetic variants in the human genome. 

Major aims of this role would include modeling the effects of genetic variants on protein function, transcriptional regulation, and diagnosis of pathogenic variants in patients with cancer or rare genetic diseases. 

A key objective is to publish research results in peer-reviewed journals to improve the accuracy, throughput, and reproducibility of genome interpretation, thereby removing barriers to clinical adoption of whole genome sequencing.  In addition to strong analytical skills, this position will require a high degree of initiative, autonomy, and scientific collaboration.

Responsibilities: 

• Lead the development of novel deep learning for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records, protein structures, and genomic data.
• Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims.
• Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Preferred Requirements: 

• Expert in deep learning, statistics, proteinomics and/or genomics
• Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences.
• Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines.

Preferred Experience/Education: 

MD or PhD in computer science, genetics, computational biology, or related field.

What can you expect:

Our team members are bright, energetic and dedicated - they are the driving force behind our innovation and impact. To attract the best and brightest, we offer a competitive employee benefits program. We view it as a smart investment in our people, one that recognizes the tremendous value they bring to our business every day. At Illumina, we push boundaries. We think beyond the conventional. We dream big. With the energy of so many bright and accomplished people, the opportunities are endless.

Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunities 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.