Computational Scientist III
Myriad Genetics
Job Description
Overview
The Computational Scientist III at Myriad Genetics builds and maintains the underlying assays and analytical pipelines, working closely with molecular biologists and software engineers. Contributions include validating product updates, developing statistical analysis methods to extract robust signals from noisy experimental data, and sharing methods in the form of simple re-usable software.
Location: Remote (San Fransisco Bay Area preferred)
Responsibility
- Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics pipelines.
- Build, validate, and future-proof new products and product features that improve the lives of the patients we serve.
- Work closely with molecular biologists, software engineers, automation engineers, and data scientists.
- Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective.
- Work with legal staff to secure intellectual property rights for inventions pertaining to our products.
- Communicate results to stakeholders across the organization, e.g., engineering, marketing, sales, legal, and genetic counseling. Thoroughly and thoughtfully describe systems for both technical and non-technical audiences.
Qualifications
- PhD in bioinformatics, computational biology, computer science, biophysics, physics, statistics, molecular biology, genetics, or related discipline required.
- 3+ years’ experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, preferred).
- Experience leading projects that span multiple departments, guiding the team to make critical decisions and securing resources as needed for successful project completion.
- Experience developing custom analysis methods, algorithms, and analysis pipelines.
- Strong computational skills, preferably with fluency in Python and a workflow definition language (WDL/Snakemake).
- Knowledge of software engineering best practices (experience with writing unit-tests, performing code review, version control software, preferred).
- Experience working with CLIA-validated assays.
- Experience with Illumina Next Generation Sequencing (NGS).
- Experience with other sequencing platforms such as IonTorrent, PacBio, Nanopore, preferred.
- Experience with modern medical genetics data sets (e.g., 1000 genomes, TCGA, GIAB), preferred.
- Working knowledge of nucleic acid chemistry and genetics, preferred.
Physical Requirements
Lifting Requirements – light work or exerting up to 20 pounds of force frequently. Physical Requirements – stationary positioning, moving, operating, ascending/descending, communicating, observing, pushing or pulling, and reaching. Use of equipment and tools necessary to perform essential job functions.
EEO
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. In hiring and all other employment decisions, we prohibit discrimination and harassment on the basis of any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
Job Info
- Job Identification 4384
- Job Category Research & Development
- Posting Date 10/10/2024, 12:14 PM
- Job Schedule Full time
- Locations 322 N 2200 W, Salt Lake City, UT, 84116, US (Remote)
- Hourly Salary Salary
- Minimum Salary 116,700.00
- Midpoint Salary 145,900.00
- Wage Disclaimer In accordance with various state and municipal wage transparency laws, the anticipated wage/salary range for this position is above. The actual base pay for this role will be based on several factors, including geographic location, relevant work experience, education, skills, and applicable achievements. Compensation may vary outside of this range in rare cases where candidates have uniquely relevant skillsets and experience that will bring additional value to the role and to Myriad. To drive ongoing pay equity for employees, Myriad conducts regular internal reviews across categories of ethnicity and gender.
- Priority 1