Position Summary
Natera is seeking a highly motivated and experienced Associate Director to join our Research group within the Data Science team. The ideal candidate will have a strong background in machine learning and data science within the genetic research domain, experience with the full life cycle of product development, coupled with leadership experience. This role involves overseeing research projects, guiding a team of data scientists, and collaborating with cross-functional teams to drive innovation and excellence in our genetic testing solutions.
Responsibilities
Leadership and Management: Lead and mentor a team of data scientists and researchers, fostering a collaborative and innovative environment. Provide strategic direction and ensure alignment with the company’s goals and objectives.
Research Oversight: Oversee the design, execution, and analysis of research projects. Ensure scientific rigor and integrity in all research activities.
Project Management: Manage multiple research projects simultaneously, ensuring timely completion and adherence to budgets. Coordinate with other departments to align research efforts with business objectives.
Collaboration: Work closely with cross-functional teams, including bioinformatics, clinical, and product development, to integrate research findings into product offerings. Foster partnerships with external researchers and institutions.
Innovation: Stay abreast of the latest developments in data science, genetics, and bioinformatics. Drive the adoption of new methodologies and technologies to enhance research capabilities.
Communication: Present research findings to internal and external stakeholders. Prepare scientific publications, proposals, and reports.
Quality Assurance: Ensure all research activities comply with regulatory requirements and ethical standards. Implement best practices for the research process.
Qualifications:
Ph.D. in quantitative (Computer Science, Applied Mathematics, Statistics, Bioinformatics, Engineering), or a related field.
Minimum of 7 years of experience in data science or bioinformatics, with at least 3 years in a leadership role. Experience in women's health diagnostic testing is a significant plus.
Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, bioinformatics.
Proficiency in data analysis tools and scripting languages such as Python.
Strong understanding of genetic data and bioinformatics pipelines.
Advanced experience in use of open-source machine learning libraries (Python) in a cloud-based environment.
Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
Familiarity with assay development and analysis pipelines for molecular and clinical biomarkers.
Proven ability to lead and manage a research team. Excellent project management and organizational skills.
Proven experience working with teams of diverse individuals to deliver complex projects.
Strong written and verbal communication skills. Ability to present complex scientific concepts to diverse audiences.
Demonstrated ability to work effectively in cross-functional teams and build productive partnerships.
