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Position: Associate Director, Bioinformatics
Institution: Natera, Inc.
Location: United States
Duties: Envision, plan, and execute research strategies in collaboration with other cross-functional stakeholders; Drive the development of innovative algorithms on ultra-deep sequencing data; Lead a team of Bioinformatics Scientists and support their professional growth; Foster a culture of innovation, collaboration, and scientific excellence; Work closely with interdisciplinary teams including engineering, biostats, and molecular biology teams to support the development of new products; Contribute to experimental design and ensure data integrity and quality control
Requirements: PhD in Bioinformatics, Computer Science, Mathematics, Engineering, Biostatistics, or related field; Minimum of 6-8 years of working in the bioinformatics field and extensive managerial and cross-functional experience; Track-record of leading and developing state-of-the-art and highly impactful computational methods; Highly experienced in algorithm development, data analysis, and machine learning; Experience with multiplex PCR and hybrid capture data
   
Text: Associate Director, Bioinformatics Envision, plan, and execute research strategies in collaboration with other cross-functional stakeholders; Drive the development of innovative algorithms on ultra-deep sequencing data; Lead a team of Bioinformatics Scientists and support their professional growth; Foster a culture of innovation, collaboration, and scientific excellence; Work closely with interdisciplinary teams including engineering, biostats, and molecular biology teams to support the development of new products; Contribute to experimental design and ensure data integrity and quality control PhD in Bioinformatics, Computer Science, Mathematics, Engineering, Biostatistics, or related field; Minimum of 6-8 years of working in the bioinformatics field and extensive managerial and cross-functional experience; Track-record of leading and developing state-of-the-art and highly impactful computational methods; Highly experienced in algorithm development, data analysis, and machine learning; Experience with multiplex PCR and hybrid capture data
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