Statistical Geneticist / Computational Biologist

  • Illumina
  • Cambridge, UK
  • 05/02/2021
Full time Data Science Data Analytics Big Data Data Management Statistics

Job Description

Why Us

Hundreds of million human genomes and exomes are expected to be sequenced over the next decade, driven by steady innovations in sequencing technologies pioneered by Illumina. 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 approaches to extract clinically actionable information from the genome and apply it towards improving human health.

Why You

To accelerate the adoption of clinical sequencing, Illumina is recruiting an exceptional computational scientist with a strong quantitative background in statistical genetics and machine learning to work on the development of novel algorithms for genome interpretation.

Key objectives would include classification of benign vs pathogenic variants by utilizing whole genomes and functional genomic data and characterizing selective constraint. Algorithms and methods will be published in peer-reviewed journals and released in software products in order 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.

If you want to push boundaries and join a culture fueled by innovation, collaboration and openness, this role could be for you. If you want a brilliant, fast-paced, mission-driven environment, then Illumina is the place for you.

The role

As a Senior Bioinformatics Scientist, you will form part of a global team between UK and US.

Responsibilities will include

  • Develop novel statistical algorithms for classifying variants of unknown significance by integrating information from detailed clinical phenotypes, functional genomics, selective constraint, and protein structure
  • Be the primary contributor for 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

Preferred background, skills and experience

  • Expert in machine learning, statistics and 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
  • PhD in computer science, statistical genetics, or computational biology

What can you expect

You will have the opportunity of working within the world's leading team regarding genomes, we hold the largest publications and you will join the Research Technology and Development team where the blue-sky thinking happens.

With Illumina you can expect a highly competitive salary accompanied by a market leading benefits package. You will be part of the global leader in the Sequencing industry where you will find robust growth opportunities and career development within Illumina.

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.

INDHP

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.