Role and Responsibilities: We are looking for someone who is comfortable managing existing software workflows, and creating new analytic workflows from scratch. Our ideal applicant will have some prior team lead experience and will be interested in supporting and helping to grow our Bioinformatics team. This person is also expected to be well organized and an excellent communicator. Familiarity with biological fundamentals, bioinformatics algorithms, basic statistics and data visualization approaches will be critical. Job performance will involve a variety of activities including: Mentor scientists across a range of experience levels Helping determine research priorities and approaches for a small team Develop and apply statistical learning approaches and generate clear visuals from biologically relevant datasets Develop and apply algorithms and software packages for internal use Work closely with scientists working in sequence analysis, basic statistical analysis, image analysis, chemistry, and biology to assist with analysis of large datasets Create approaches to manage key datasets Collaborate with scientists to design experiments Apply and extend data analysis pipeline using statistically sound methodologies Generate actionable conclusions from imperfect data (e.g. missing values, batch effects, highly-skewed distribution, outliers, etc.) Qualifications and Education Requirements: PhD in Bioinformatics, Data Science, or related field 5+ years of experience in analyzing genomic, transcriptomic or proteomics data Ability to effectively lead an organized and dynamic team in a fast-pace, deadline driven environment Proven ability to guide experimental design (design of experiments, power analysis, blocking, replication, and randomization) Expertise in data quality assessment and visualization Experience with programming in Python or R A willingness to follow direction as well as work independently Excellent written and oral communication skills A willingness to learn and grow within a transformative company Proven problem-solving skills and collaborative nature in fast-paced environment A willingness to wear multiple hats and be flexible with their work schedule Preferred Skills: Experienced in programming in C++ or any other strongly-typed language Experience with using any of a number of integration, functional, and/or unit test frameworks to prove correctness of algorithms
