Job Summary
A provider of revolutionary digital genome engineering tools has an open position for a Remote Data Science Senior Director.
Individual must be able to fulfill the following responsibilities:
- will directly manage a team of data scientists in a collaborative, dynamic R&D and commercial environment
- Provide technical guidance, mentoring, and direct management of the Data Science team and other informatics staff across the organization in pursuit of project goals and individual career development. Attract, develop, and retain top talent for the Data science team at Inscripta. Define and lead development of algorithms and software applications that enable customers to rapidly discover actionable insights from their data to accelerate innovation & pace of experimentation. Examples include genotype-phenotype modeling, functional discovery, network modeling, and novel sequence prediction & recommendation systems. Build strong partnership within Application and Product development teams by representing voice of customers and providing critical feedback on product specifications and performance Identify customer needs and accelerate innovation by providing solutions for effective data generation, acquisition, collation and visualization Work closely with the Applications team contributing to strategic planning and successful delivery of internal applications and with external Key Opinion Leaders. Prepare and deliver high impact presentations for both internal and external audiences including at public conferences, product launches and key opinion leader roadshows. Educate marketplace on how to best leverage Inscripta’s platform to accelerate Forward Engineering and Genome Discovery
Position Requirements Include:
- This role can work remotely, but travel to Inscripta offices may be required.
- Ph.D. (or equivalent experience) in bioinformatics, functional genomics, systems biology or a related field. 10+ years of industry experience, spanning technical, managerial, and customer-facing roles or equivalent experience in academia with a strong publication record Extensive experience in machine learning and software development as applied to any of the following areas - genome discovery, systems biology, synthetic biology Experience with genomics and NGS data sets analyses, high throughput strategies & experimentation Strong patent/publication record and extensive public presentation experience. A high EQ player-coach who can lead the team through consistent guidance, support, and direct technical contributions. Ability to structure, implement, and maintain experimental and project plans and timelines in a multidisciplinary research and business environment and effectively communicate plans across all levels of the organization including C-suite and the Board.
