Sr Computational Scientist (Remote)

Myriad Genetics; California, South San Francisco (MO, CA); Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Computational Scientist to join their innovative research team. This role involves designing and developing molecular assays and analytical pipelines, working closely with experts from various fields. You will leverage your extensive experience in data analysis and computational biology to create cutting-edge bioinformatics tools. The ideal candidate will have a PhD and a strong background in analyzing complex data sets, along with proficiency in Python and machine learning. This is an exciting opportunity to contribute to impactful projects in clinical genomics within a supportive and diverse environment.

Qualifications

• PhD in relevant fields with 6+ years of experience in data analysis.
• Experience with machine learning tools and NGS data preferred.

Responsibilities

• Contribute to the design and validation of molecular assays.
• Lead project teams and mentor junior scientists.

Skills

Data Analysis

Python

Machine Learning

Computational Algorithms

Statistical Analysis

Education

PhD in Computational Biology

PhD in Statistics

PhD in Genetics

Tools

NGS Data Analysis

Workflow Definition Language

Job description

Overview

The Sr Computational Scientist is a 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.

Location: Remote, South San Francisco preferred

Responsibility

• Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory.

• Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools.

• Lead project teams that build, validate, and future-proof new products and product features.

• Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists.

• Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective.

• Mentor junior scientists and research associates, guiding the overall path and success of key projects.

• Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products.

• Work with legal staff to secure intellectual property rights for inventions pertaining to our products.

• Communicate results to stakeholders across the organization.

Qualifications

• PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline.

• 6+ 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).

• Experience in developing custom analysis methods, computational algorithms and analysis pipelines.

• Experience in applying machine learning tools for biological questions is preferred.

• Experience in analyzing NGS and long-range sequencing data.

• Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices.

• Working knowledge of nucleic acid chemistry and genetics preferred.

• Multiple peer-reviewed publications.

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.