Bioinformatics Engineer - University of Washington

Req #: 239614 Department: Department of Medicine: Medical Genetics Appointing Department Web Address: https://medgen.uw.edu/ Job Location Detail: Eligible for a hybrid or fully remote work modality. Fully remote allowed from anywhere in the U.S. Posting Date: 10/02/2024 Closing Info: Open Until Filled Salary: $7,466 - $13,694 per month Shift: First Shift Notes: As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website, click here. (https://hr.uw.edu/benefits/wp-content/uploads/sites/3/2018/02/benefits-professional-staff-librarians-academic-staff-20230701\_a11y.pdf ) As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. The Division of Medical Genetics has an outstanding opportunity for a highly skilled bioinformatics engineer (FULL-TIME) in the laboratory of Dr. Andrew Stergachis, MD, PhD. **POSITION PURPOSE** This position will involve the development of computational tools for analyzing and interacting with epigenetic sequence data within the context of human pan-genome graphs. This individual will work in a team effort as part of the Stergachis Laboratory to assess the impact of non-coding human genetic variation on human variation, evolution, and disease, leveraging pan-genomics with a focus on making tools and developing standards for this type of analysis. This position requires the ability to analyze complex research problems and will involve the development and implementation of computational methods and tools for using long-read next-generation sequencing to study the human genome and epigenome. **DUTIES AND RESPONSIBILITIES** Computational tooling for studying epigenetics in the pangenome (80%) + Design formats and procedures for integrating epigenetic data into a pangenome reference with feedback from the pangenomics and epigenomics communities. + Independently create bioinformatics tools that follow and execute these designs in high-performance compiled programming language(s). + Develop and maintain computational tools for epigenomic analyses across multiple programming languages and experimental paradigms, including but not limited to Fiber-seq (40%). + Design graphical visualizations of data and integration of diverse epigenomic and genomic datasets within the pangenome. + Ensure that pangenomic tools and analyses developed in the lab are documented and executable outside the UW environment.Independent dissemination of tooling and results (20%) + Present analysis findings at group meetings and national conferences, as appropriate. + As the lab's representative, attend and provide updates for working group meetings with the Human Pangenome Reference Consortium (HPRC). + Basic scientific skills, including keeping well-documented detailed records of computational tools and analyses, including on GitHub. + Contribute to large program projects as a member of multi-person teams using version control, branches, forks, and pull requests, e.g., collaboratively using GitHub. + Read and share updates with the Principal Investigator in computational tooling and literature regarding the pangenome. + Provide status reports to the Principal Investigator on the status of projects. + Perform related duties as required. **MINIMUM REQUIREMENTS** + Master's degree in bioinformatics, computer science, genetics, or related experience. Four or more years of relevant computational experience in either a professional or academic setting. **ADDITIONAL REQUIREMENTS** + Strong understanding of human genetics. + Ability to utilize and contribute to computational tools in common scripting languages (e.g., Linux, Python, and R). + Experience with at least one high-performance (complied) programming language (e.g., Rust, C++, C). + Experience with or willingness to learn and work in the Rust programming language. + Experience working with cloud-based computational pipelines and workflows(e.g., Terra, AWS, Anvil). + Experience working with high-performance computing clusters (e.g., SLURM or SUN-GRID). + Experience analyzing genomic data and familiarity with standard genomic formats (BAM, VCF, etc). + Ability to work, collaborate, and communicate well within a multidisciplinary team. + Must be self-motivated and able to take initiative, work independently, and learn. + Strong organizational abilities. + Strong written and oral communication skills. + Strong letters of recommendation. **DESIRED QUALIFICATIONS** + Understanding of long-read sequencing. + Two or more years of experience with a high-performance programming language (e.g., Rust, C++, C). + PhD in bioinformatics, computer science, genetics, or related experience. **CONDITIONS OF EMPLOYMENT** This position requires an individual who possesses excellent judgment and works well under stress and while juggling competing priorities. This individual needs to be extremely focused, well-organized and flexible with regard to work hours and the ability to accommodate the workload to meet deadlines. This position requires demonstrated superior written, verbal and interpersonal communication skills, including the ability to communicate complex, technical information in an easy to understand way. The individual must be self-motivated and able to work independently as well as collaboratively.\#UWDeptMedicineJobs University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.