Senior Director, Computational Biology

  Reports To: Chief Scientific Officer Department: BGIR SupportDescription Complete Genomics is looking for an exceptional expert and leader for a group of bioinformatics scientists, mathematician, and computer scientists to assist the development and application of methods and tools for complete genome sequence assembly and analysis. The ideal candidate will possess a broad understanding of machine learning algorithms, high-end computing, genomics, genetics, bioinformatics, have superior leadership and cross-functional communication skills, and be able to successfully manage complex projects and influence multi-disciplinary teams. Responsibilities

• Develop machine learning strategy in genomics including building a team of machine learning experts
• Design and develop algorithms with emphasis on genomics
• Adapt and develop analysis approaches and software tools for the use of complete genome sequence
• Interact with the research and development groups to implement new product offerings
• Prototype data delivery and analysis tools for new products
• Comparative analysis of sequence data from collaboration projects
• Performs other work related duties as assigned

Qualification

• Ph.D. in computer science, mathematics, engineering, bioinformatics, biostatistics, (or biology/genetics, along with a very strong algorithm development background)
• 10+ years of machine learning especially in biology and genomics, 5 + years of management experience
• Experience in modeling regulatory gene networks
• Previous experience manipulating and analyzing very large data sets essential. Software skills appropriate for this analysis (shell scripting, Perl/Python, C/C++, SQL, etc.)
• Strong signal processing experience and background
• Understanding or have background experience with high performance computing
• Demonstrated independent thought and judgment in developing methods, techniques and evaluation criteria
• Knowledge of key third party software platforms, tools and databases for sequence analysis a plus
• Familiarity with common statistical and data mining techniques used in analyzing biological data a plus
• Strong problem-solving skills and ability to think creatively
• Strong statistical analysis skills
• Energetic and motivated self-starter
• Ability to learn quickly in a fast-paced startup environment
• Work in a team environment with a professional and positive attitude, influence cross-functional teams
• Excellent analytical, problem solving, communication, and presentation skills

Other Requirements

• Fluent communication skills in English and Mandarin required
• Travel at 30% - 50%

Complete Genomics does not accept unsolicited agency resumes. Please do not forward unsolicited agency resumes to our website, employees or Human Resources. Complete Genomics will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Complete Genomics and will be processed accordingly without fee. Complete Genomics has the sole discretion to determine with whom we will enter into a contract. If you wish to work with Complete Genomics, please contact the Human Resources department at careers@completegenomics.com. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.