Structural Biologist - Computational Biologist
The main responsibility of this role is to collaborate with biologists, bioinformaticians, software engineers, and clinicians to design methodologies and tools that leverage the vast amount of biomolecular structural information available to guide clinical decisions. JOB RESPONIBILITIES: * Provide structural biology support for variant assessment by analyzing and interpreting structure-function relationships * Expand our current in-house structural database * Develop new methods and protocols for structural modeling and dynamics * Work with statisticians and machine learning specialists in development of new methods and algorithms * Develop features/tools to assist clinical and genetic analysis * Support bioinformatics, R&D and reporting teams for clinical research projects JOB REQUIREMENTS: * PhD or a Master's degree in computational biology, structural biology, biophysics, bioinformatics * Familiar with molecular biology, biological pathways, and genomics * Strong knowledge of current theories and principals of computational structural biology * Proficiency in the use of bioinformatics and structural biology software, packages, and databases * Proficiency with a programming language (such as Perl, Python, R, C/C++, Java) and SQL * Proficiency in utilizing and development of biomolecular modeling and dynamics tools * Proficiency in structure-based variant assessment for clinical diagnosis * Excellent oral and written communication skills * Ability to work within a team, across teams, and as an independent contributor, requiring minimal supervision * At least 3 years research and development experience in related fields (such as computational structural biology, computational biology, computational molecular biology) * At least 2 years for PhD and 5 years for Masters' degree, post-graduate research experience and/or industrial experience in computational biology are required About Us: Ambry Genetics Corporation is a CAP-accredited and CLIA-licensed molecular genetics laboratory based in Aliso Viejo, California. We are a genetics-based healthcare company that is dedicated to open scientific exchange so we can work together to understand and treat all human disease faster. At Ambry, everyone is welcome. A career at Ambry Genetics is a chance to be part of a dynamic company that aims to improve health by understanding the relationships between genetics and human disease. We earned our reputation as industry leaders by responsibly introducing cutting-edge genetic testing solutions and continually sharing what we learn with the global scientific community. At Ambry you will be learning, challenging yourself, and having fun while collaborating with teammates through the open exchange of ideas. Our outstanding benefits program includes medical, dental, vision, 401k, FSA, and generous paid time off (PTO) program. Ambry Genetics is an Equal Opportunity Employer (EOE) and we maintain a drug-free work environment. Ambry Genetics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race (and traits historically associated with race, including, but not limited to hair texture and protective hairstyles such as braids, locks, and twists), color, creed, religion, sex, sexual orientation, gender identity, gender expression (including transgender status), national origin, ancestry, age, marital status or protected veteran status and will not be discriminated against on the basis of disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Ambry does not accept unsolicited resumes from individual recruiters, third party recruiting agencies, outside recruiters or firms without an executed contract in place. We are not responsible for any fees related to resumes that are unsolicited or are received by Ambry. Such resumes will be deemed the sole property of Ambry and will be processed accordingly.