Computational Scientist III at Myriad Genetics

South San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Sep, 26

Salary

160500.0

Posted On

06 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Biology, Statistics, Bioinformatics, Python, Next Generation Sequencing, CLIA Validation, Algorithm Development, Data Science, Molecular Biology, Genetics, Software Engineering, Workflow Definition Languages, Nucleic Acid Chemistry, Medical Genetics, Pipeline Development, Scientific Writing

Industry

Biotechnology Research

Description

The Computational Scientist III is member of the research team and contributes to design, development, maintenance, and validation of molecular assays and analytical pipelines working closely with molecular biologists, lab directors and software engineers. Responsibility 1. Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory. 2. Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools. 3. Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists. 4. Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective. 5. Mentor junior scientists and research associates, guiding the overall path and success of key projects. 6. Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products. 7. Work with legal staff to secure intellectual property rights for inventions pertaining to our products. 8. Communicate results to stakeholders across the organization. Qualifications 1. PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline. 2. 3+ years of experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, a plus). 3. Experience developing custom analysis methods and algorithms and analysis pipelines. 4. Experience working with CLIA-validated assays and authoring CLIA validation plans, Illumina Next Generation Sequencing (NGS), and other sequencing platforms. 5. Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices. 6. Multiple peer-reviewed publications. 7. Experience with modern medical genetics data sets preferred. 8. Working knowledge of nucleic acid chemistry and genetics preferred. 9. A sense of humility coupled with deep compassion, impeccable integrity, and an eagerness to be part of a caring and supportive team. 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.

Responsibilities

The role involves designing and validating molecular assays and analytical pipelines while collaborating with cross-functional teams of scientists and engineers. Key duties include developing bioinformatics tools, mentoring junior staff, and authoring scientific publications and intellectual property documentation.