Position Summary
To accelerate the adoption of clinical sequencing, Illumina is recruiting a world-class Machine Learning Scientist and Software Engineer to work on the development of novel deep learning algorithms and production-ready software for deciphering the effects of genetic variants in the human genome.
Major aims would include modeling the effects of genetic variants on gene function, transcriptional regulation, and diagnosis of pathogenic variants in patients with cancer or rare genetic diseases. A key objective is to develop robust, scalable software implementations of research results and publish these findings in peer-reviewed journals. This will improve the accuracy, throughput, and reproducibility of genome interpretation, thereby removing barriers to the clinical adoption of whole genome sequencing. In addition to strong analytical and software development skills, this position will require a high degree of initiative, autonomy, and scientific collaboration.
Responsibilities
Contribute to the development of deep learning algorithms for interpreting human genetic data, supporting efforts to identify pathogenic genetic variants using information from clinical phenotypes, protein structures, and genomic data.
Implement, test, and document software modules under the guidance of senior team members, with a focus on reliability, scalability, and efficiency.
Support collaborations with internal and external partners by preparing datasets, running analyses, and contributing to project deliverables.
Assist in preparing research results for internal reports, presentations, and publications, and contribute to integrating methods into software products for the 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:
Knowledge in deep learning, statistics, bioinformatics, and/or genomics.
Knowledge in Full stack software development and deployment of scientific software.
Familiarity with software development best practices, including version control (e.g., Git), testing frameworks, and continuous integration/continuous deployment (CI/CD).
Possesses strong communication skills
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
BS or MS in computer science, bioinformatics, computational biology, or a related field.
We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. 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. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact [email protected]. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.
