Job Summary: 

• Define and develop analysis pipelines for scRNAseq data for T cell therapeutics.
• Apply rigorous statistical methods to drive actionable insights from internal and external datasets.
• Build data visualization and exploration tools.
• Collaborate with a diverse team of experimentalists, computational scientists, and clinicians to address key therapeutic questions in a data-centric manner.
• Build machine learning models based on genomic, biological, and clinical features to predict T-cell treatment outcome
• Build machine learning models with scRNAseq data to classify the quality of engineered T cells
• Explore public databases to understand the patient population landscape
• Analyze large-scale omics datasets, interpret and communicate analysis results to stakeholders
• Integrate diverse types of biological data to identify leads for trait improvement
• Work closely with other computational scientists and trait scientists to help interpret data and generate hypotheses on how candidate gene function impacts traits of interest

Skills on Resume: 

• Analysis Pipeline Development (Hard Skills)
• Statistical Methods Application (Hard Skills)
• Data Visualization Tools (Hard Skills)
• Collaborative Teamwork (Soft Skills)
• Machine Learning Models for Genomics (Hard Skills)
• RNA-Seq Data Classification (Hard Skills)
• Public Database Exploration (Hard Skills)
• Large-scale Omics Data Analysis (Hard Skills)

Job Summary: 

• Develop advanced computational methods to enhance research and discovery of multiparametric biomarkers obtained from genomic, epigenomic, transcriptomic and proteomic platforms.
• Perform thorough analyses of multiparametric next-generation sequencing (NGS) data to address key statistical questions, data quality and to understand outliers.
• Collaborate with team members in specifying requirements for tools to enhance biomarker discovery.
• Provide support in exploratory biomarker hypothesis testing and generation according to research scope.
• Assist with drafting and completing manuscripts for publication.
• Manage data analysis, interpretation of research and early development study results throughout the manuscript publication process from draft through submission and acceptance.
• Organize and present results at team and cross-functional meetings.
• Contribute to the design of strategies for validating the function of candidate genes
• Provide consultations on experimental design, analytical methods, computational tools, and data interpretation
• Reaching beyond standard functional genomics approaches, explore new machine learning-based approaches for lead identification

Skills on Resume: 

• Advanced Computational Methods (Hard Skills)
• NGS Data Analysis (Hard Skills)
• Team Collaboration (Soft Skills)
• Biomarker Hypothesis Testing (Hard Skills)
• Manuscript Drafting and Completion (Hard Skills)
• Data Analysis Management (Hard Skills)
• Results Presentation (Soft Skills)
• Experimental Design Consultation (Hard Skills)

Job Summary: 

• Apply advanced statistical and predictive modeling techniques to facilitate exploratory and confirmatory analyses for decision-making in collaboration with responsible statisticians
• Support the development of clinical data analysis applications that help to automize pipelines and support clinical experts and decision-makers
• Lead programming activities to develop and validate exploratory and interactive data analysis packages needed for clinical studies and projects in collaboration with responsible statisticians
• Identify and prepare relevant data and sources of information needed for statistical analysis, leverage new (digital) data collection processes for clinical research
• Drive solutions for analytical problems and document results and methodologies
• Provide expertise and educate the organization on new approaches for data analysis
• Assist the organization in understanding and adopting the principles of these approaches and how they provide value to decision-making
• Troubleshoot and implement enhancements and corrections to data analysis tools, systems, and methods
• Explore, evaluate, design and implement new and emerging analytical processes and tools to improve working processes and research
• Contribute to drug research, the development of new drugs, the approval of new drugs by health authorities, and the surveillance of marketed drugs according to the major tasks and responsibilities of the position

Skills on Resume: 

• Statistical and Predictive Modeling (Hard Skills)
• Clinical Data Analysis Application Development (Hard Skills)
• Programming for Data Analysis (Hard Skills)
• Data Preparation and Collection (Hard Skills)
• Analytical Problem Solving (Hard Skills)
• Data Analysis Education (Soft Skills)
• Tool and System Enhancement (Hard Skills)
• Emerging Analytical Processes Implementation (Hard Skills)