We are seeking a motivated individual for a unique position that combines bench and computational research in the area of immunology. Key responsibilities include design of experiments, preparation of samples for microarray and gene variant studies, analysis of mid- to large-scale datasets from genomic and proteomic studies for one or more projects, introduction of new technologies, development of new approaches to evaluate test data, and propose new projects to advance target and drug discovery activities of a pharmaceutical company.
Essential Duties and Responsibilities include the following. Other duties may be assigned.
• Work on a small global team to generate and analyze in-house transcriptome, proteome, and genome variant data using best-practice methods and develop novel methods to identify patterns of gene/protein expression, drug targets, biomarkers, and correlations with multiple autoimmune disease parameters from in-house and public data.
• Design and perform necessary wet-lab experiments for gene expression studies and validation of identified targets, and introduce technologies for single cell analysis.
• Implement creative, novel, and practical use of systems biology methods in gene/target discovery, interpretation of cellular processes, and/or biomarker discovery.
• Stay current with scientific literature and bioinformatics community to identify new technologies that enable systems biology approaches to drug discovery for immunological disorders.
• Interact and functionally collaborate with research partners in Biochemistry and Translational Medicine Groups, as well as scientists across KHK Informatics and Immunology groups.
• Discuss findings with team members to evaluate validity of findings and advance the project.
• Present research at group, project, and review meetings, accurately record experiments and data in laboratory notebooks and databases, and record progress in monthly and annual reports.
• Interact within Research Division and upper management to resolve matters pertaining to objectives, plans, or policies.
• Develop, review, and contribute to new project proposals.
To perform the job successfully, an individual should demonstrate the following competencies:
• Demonstrates full use and application of extensive knowledge of scientific principles, theories and concepts in the area of bioinformatics, and statistics.
• Synthesizes complex and diverse information.
• Routinely identifies obstacles to progress and proposes solutions for project advancement.
• Ability to manage multiple tasks and design experimental strategies through to completion in a timely manner and with consistent and reliable results.
• Develop project details with consideration of schedule, cost, reliability, simplicity, and effectiveness.
• Manage more than one project of moderate complexity at a time.
• Quickly adapts to changes in the work environment.
Education and/or Experience:
• Ph.D. from an accredited university with a concentration in biology, bioinformatics, or related field and
• Two to five years of industry or academic experience related to microarray or genome wide expression studies.
• Ability to read, analyze, and interpret technical procedures and equipment manuals
• Ability to write reports and scientific protocols
• Ability to effectively present information and respond to questions from project team members and executive management
• Ability to constructively discuss scientific topics with other scientists and clinicians at various types of meeting and conferences
• Proficient in statistical analysis especially feature extraction from diverse datasets.
• Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, and correlation techniques.
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
• Proficiency with bioinformatics software especially microarray and pathway analysis software such as GeneSpring GX, Integrated Pathway Analysis (IPA), Spotfire.
• Proficiency working with the Microsoft Office suite of programs (Excel, PowerPoint, Word, etc.) and with laboratory software including Prism.
• Ability to learn specialized data analysis software applications.
May supervise at least one research associate