Senior Bioinformatics Specialist
· Collaborates with scientists and clinicians within and outside of Rutgers Cancer Institute in the application of bioinformatics, computational imaging and systems biology to basic science and investigative clinical research;
· Contributes to the Biomedical Informatics Shared Resource to advance translational and precision medicine programs by interfacing with staff and faculty in oncology, medicine and IT, to link bench to bedside;
· Leads the activities of small groups of bioinformatics scientists and application developers, establishing project plans, monitoring progress and resolving issues regarding ongoing and new projects;
· Analyzes medical imaging and sequencing data using established pipelines;
· Contribute to the development of novel algorithms and pipelines for investigative research and clinical applications;
· Establishes and performs appropriate QC measures;
· Implements, maintains and documents data and image analysis pipelines and workflows;
· Benchmarks new tools for cancer sequencing data analysis and proposes improvements;
· Collaborates with internal and external researchers on collaborative projects;
· Present results in written or oral reports for bioinformatics scientists and internal researchers;
· Collaborates with other staff, faculty and scientists in preparing manuscripts and external presentations;
· Provides training and leads Workshops in bioinformatics, computational imaging and clinical informatics to the scientific and clinical community at Rutgers Cancer Institute and beyond;
· Demonstrates responsibility for project management to ensure timely completion of projects;
· Understands and adheres to Rutgers’ compliance standards as they appear in RBH’s Corporate Compliance Policy, Code of Conduct and Conflict of Interest Policy;
· Keeps abreast of all pertinent federal, state, Rutgers’ regulations, laws and policies as they presently exist and as they change or are modified;
· Performs other related duties as assigned.
Requirements
· Ph.D. Degree required, strong preferences for Degree in Biomedical Engineering, Computational Biology and/or Computer Science. Work/research experience in biomedical informatics, computer science, engineering, or applied mathematics or similar;
· Preference will be given to individuals with experience in software development in the areas of AI, biomedical imaging, pattern recognition, computer assisted
diagnostics, high-performance computing, and applications in building predictive model and the diagnosis and treatment of cancer.
· Demonstrated exposure to NGS data and image analysis; experience using standard analysis methods and software;
· Programming skills in C/C++, R, Python, Perl, BASH or similar;
· Programming skills in Java a plus;
· Experience working in high performance computing environments preferred;
· Training in statistics or machine learning;
· Ability to serve as a bridge between experimentalists, clinicians and technical staff;
· Demonstrated ability to work both independently or as part of a team;
· Team oriented with excellent written and verbal communication skills and expected to interact with both clinical and research faculty as well as the private sector.