Staff Data Scientist

April 16

xilis

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Next generation technologies for precision medicine.

organoids • precision medicine • oncology • cancer • tissue engineering

51 - 200

💰 $19M Series A on 2022-07

Description

• Responsible for planning, implementing, directing, and administering all aspects of the human resources function for the Mid-Atlantic Region • Provide day-to-day management of the Employee Relations team • Reconcile benefits claims, process payroll, manage workplace safety programs • Lead the development, coordination, and implementation of policies and procedures covering all aspects of human resources • Coordinate directly with corporate office

Requirements

• Ph.D. in applied mathematics, computer science, data science, bioengineering/bioinformatics, or a related discipline with 8+ years of experience or MS with 10+ years of experience (Bonus: Industry experience in drug discovery or drug development) • Expert knowledge of machine learning and advanced statistical methodologies, including extensive work in computer vision • Extensive knowledge of molecular biology, cancer genomics, and understanding the impacts of wetlab protocols on data analytics • Expertise in Python, R and bash scripting, cloud computing (AWS preferred), ML operations/product lifecycle, git, CI/CD • Experience working with experimental scientists on Design of Experiment (DOE) (Bonus: Experience with high throughput drug screens, single-cell RNA-seq/NGS multiomics, flow cytometry, immune assays) • Excellent verbal and written communication skills to accurately convey complex technical information to non-technical stakeholders • Ability to work independently as an individual contributor in a fast-paced startup environment, delivering high-quality results under tight timelines (Bonus: Significant project management experience driving technical projects from conception to production environment with a focus on business value) • Strong team player able to work together with your team as well as cross-functionally and across institutions to accomplish your goals (Bonus: successful collaborations in geographically dispersed teams)

Benefits

• Design and deploy advanced multimodal data fusion algorithms to solve pressing problems in immuno-oncology within Xilis’ AWS-based cloud computing environment • Rigorously and reproducibly support the design of experiments, perform the subsequent statistical analyses, and develop the necessary quality control metrics and processes to ensure oncology products’ success • Visualize and communicate complex data back to technical and non-technical audiences • Operate successfully in a rapidly changing, fast-paced, mission-driven environment • Participate in external meetings with scientific experts from partner organizations and field technical questions on the data science performed • Collaborate and co-develop products with our international Xilis R&D teams • Serve as a conduit between Xilis’ Data Science team and the Netherlands R&D team by running point on data analytics for the Netherlands site, while working within and contributing to the international data science team’s infrastructure and processes