Job Description The Research Scientist I will be responsible to establish data analytics capabilities to manage, process, and analyze a large amount of analytical data to gain insight into the biology of cell therapy products. They will work in a cross-functional team to enable in-process attribute and product understanding to identify opportunities for continuous process improvement. In this role, the ideal candidate will create or select algorithms to process, analyze, visualize, interpret as well as report large amounts of analytical data. They will collaborate cross-functionally to apply statistical tools, artificial intelligence/machine learning, and other data-mining techniques to build models to identify predictive biomarkers of manufacturability, i.e. viability, cell expansion, and achieving dose. We are seeking a highly motivated Computational Biologist to support ongoing efforts focused on integrating biological datasets to build analytics models that enable the discovery of patterns or trends and inform product manufacturability. The ideal candidate will effectively communicate results derived from statistical machine learning, establish workflows for data visualization in order to enable the continuous monitoring of method performance and evolve the ability to manufacture products while meeting quality standards. The successful candidate will conduct bioinformatics analysis to enhance understanding of signaling pathways that drive T cell differentiation and mechanisms of action of cell therapy products. The candidate will also be responsible for establishing and documenting the workflow for data analytics platforms from analysis through visualization. The successful candidate will represent Analytical Development in multiple cross-functional teams projects and opportunity to learn about process development and enable next generation of cell therapy development using computational biology approaches. Job Responsibilities and Duties Building capabilities to analyze large biological data sets to enhance in-process attribute and product understanding Developing data analysis, visualization, and predictive analytics tools for data generated from flow cytometry, molecular biology, and protein expression platforms Perform assessment of new data analytics technologies and business intelligence tools to drive continuous process improvements Leading cross-functional efforts to compile specialized reports and data visualizations using standard business reporting and scientific data analysis applications Author, review, and edit technical documents, i.e. SOPs and/or reports, describing data analytics workflow Basic Qualifications: Ph.D. in Computational Biology or related discipline with 0+ years of industry experience Masters Degree in Computational Biology or related discipline with 6+ years of industry experience Bachelors Degree in Computational Biology or related discipline with 8+ years of industry experience Preferred Qualifications: Advanced knowledge of cell biology, cancer biology, and/or immunology Experience with designing and developing data models and databases (SQL, mongoDB) Experience with visualization tools (Tableau, Spotfire, RShiny) Experience with analyzing and integrating the sequencing dataset (scRNAseq, CITEseq, TCRseq) Fluent in programming languages (R/Python) or any relevant modern programming languages Solid understanding of statistics and AI/ML algorithms and associated applications. Familiar with cloud environments (AWS, s3 buckets) and knowledge of data science infrastructure (data-bricks, H2O.ai) Understanding of GxP and GMP Experience with LabKey, data management system Experience with lab instrument automation Experience with building IT infrastructure Effective verbal and written communication skills Ability to think critically and demonstrate troubleshooting and problem-solving skills Ability to work in a fast-paced small company environment with minimal direction #IND123
