Our team specializes in developing a fast and accurate FPGA-accelerated platform called DRAGEN, for the secondary analysis of NGS genomic data, together with integration in the ICA Cloud platform for scalability and data interpretation. The platform covers a wide range of pipelines including WGS and targeted (enriched/amplicon) germline, WGS and targeted somatic (T/N and tumor-only), DNA/RNA, small variants, CNV, and structural variants.
We are looking for a highly driven and talented senior bioinformatics scientist to join our methods development team to work on secondary analysis algorithms. The ideal candidate will have a strong background in computer science, algorithms, statistics, and/or digital signal processing in addition to expertise in genomics and next generation sequencing. The candidate should be a proven team player and will contribute to the production software code base. This role will focus on software development for structural variant detection and oncology applications.
Responsibilities:
Design, prototype and implement innovative computational and/or statistical algorithms to extract meaningful biological signal from sequencing assays.
Implement algorithms in production-grade C/C++ software.
Collaborate deeply with inter-disciplinary teams (QC/QA test teams, FPGA teams, SW teams, clinical genomics teams) as the platform has many different end-users with different requirements and applications to ensure a smooth, end-to-end workflow with external organizations.
Engage with external customers’ scientific teams to build product credibility and define emerging requirements.
Clearly communicate technical methods and findings across internal teams with diverse expertise.
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.
Required Skills and Experience:
Typically requires a PhD and experience in academic or industrial settings in Bioinformatics, Computational Biology, Biostatistics or Computer Science, or equivalent.
Experience developing next generation sequencing data analysis methods.
Extensive experience in an object-oriented programming language; C++ preferred
Strong background in computer science algorithms relevant to bioinformatics
Strong communication skills and ability to describe complex analyses to audiences with diverse backgrounds
Ability to contribute independently and collaboratively, take ownership of assigned tasks, and excel in a fast-paced environment
Experience with using version control systems such as git
Knowledge or background in NGS based methods for assembly, structural variant detection, and cancer related applications would be extremely suitable to the project.
Willingness to learn and grow with an exceptionally talented group of scientists and engineers!
Desired Skills and Experience:
Experience with scripting languages, including Python and bash.
Experience with multi-threading and memory management techniques.
Knowledge and experience with probability and statistics and/or machine learning.
Knowledge and experience with a wide range of bioinformatics tools.
Familiarity with professional software development practices (testing, CICD, debugging, source control).
Demonstrated success in collaborating in a team environment and delivering high-quality software products using agile development methodologies.
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The estimated base salary range for the Sr Bioinformatics Scientist role based in the United States of America is: $126,800 - $190,200. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and 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 demonstrate our collective commitment to diversity and inclusion in the communities we live and work. 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. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. 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.