Senior Bioinformatics Scientist - Cambridge, Cambridgeshire, United Kingdom - Illumina

Description

Senior Bioinformatics Scientist (Statistical Genetics) page is loaded Senior Bioinformatics Scientist (Statistical Genetics)

Apply locations England - Cambridge time type Full time posted on Posted Yesterday job requisition id 37821-JOB What if the work you did every day could impact the lives of people you know? 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.

Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Senior Bioinformatics Scientist (Statistical Genetics)
Cambridge - Hub and Hybrid or Onsite
(may consider Remote based for the right individual)

We have an exciting opportunity for a Senior Bioinformatics Scientist (Statistical Genetics) 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 enormous quantities of genomic data being generated by Illumina in collaboration with our partners worldwide represents a major opportunity to develop novel data-driven and artificial intelligence methods to extract clinically actionable information from the genome, and apply it towards improving human health.

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 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.

Lead the development of novel algorithms for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records 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.

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.

however, business conditions may require reasonable accommodations for additional task and responsibilities.
MD or PhD in computer science, genetics, computational biology, or related field.

Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD; 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.

Our technology empowers researchers and clinicians globally to improve cancer treatments, change the course of diseases, protect the environment, and fight food insecurity.