Research Fellow - Development of Computational Tools to study Cancer Genomics




TITLES SUPERVISED:Research Assistants, Data Analysts, Biostatisticians


The Salomonis laboratory in the Division of Biomedical informatics studies the interplay between alternative splicing, genetics and tumor biology through the application and development of innovative computational tools in conjunction with high-throughput genomics sequencing datasets. The Salomonis lab welcomes applications for a postdoctoral Research Fellow who will apply, improve and augment newly developed open-source bioinformatics workflows (AltAnalyze/OncoSplice) integrating data across multiple omics modalities (RNA, DNA, epigenome, protein) in conjunction with clinical data from the TCGA, TARGET and emerging cancer genomics resources. Importantly, the applicant is expected to identify novel mechanistic relationships within and between distinct cancer subtypes to be experimentally tested with diverse research collaborators.

Lab Website:

Perform analysis and experiments: Design, execute, and record analysis and experiments; apply standard scientific protocols to research, and improve current methods and evaluate innovative techniques. Develop and implement human subject research protocols, vertebrate animal research protocols and design experimental procedures and documentation in accordance with the relevant laws and regulations. Prepare, clean and analyze data. Maintain optimal protocol and accuracy by conducting regular quality and reproducibility checks.

Communicate results/findings: Draft, write, and edit scientific reports, papers, journal articles, and abstracts. Present information on research and department work to others at department meetings, journal clubs, and seminars. Present results and discuss relevant insights with Faculty and provide useful recommendations and analysis.

Innovate and advance departmental capabilities: Independently reproduce, evaluate, research, and improve techniques currently used. Adapt new methods to existing procedures and modify current analysis/experiments through scientific knowledge and intuition. Maintain accurate and detailed records of all analysis and experiments. Develop, set-up, and verify new procedures in the department. Standardize and establish new published procedures; evaluate innovative techniques. Develop new protocols; design formats. Maintain an integral role in the department's meetings, presentations, and publications. Troubleshoot and correct erroneous results or problems with department software/equipment. Maintain and repair software/equipment; monitor proper use by personnel.

Financial/Budgeting: Assist in preparing grant applications. Assist in preparing, writing, and maintaining fiscal budget. Monitor expenditures and prepare capital expenditure requests. Prepare, approve, and initiate check requests; track funding, maintain accurate balance, and resolve any discrepancies.

Staff Leadership: May provide day-to-day functional leadership for a team or directly manage a minimal number of support staff. Establishes team goals. Gives input into, and performs employee performance reviews. Oversees and guides work assignments. Serves as the functional expert and provides guidance to the team.

Education and Training: May serve as course master and develop new courses at the undergraduate and graduate level, including appropriate plans for evaluating student performance; may deliver lectures as a guest lecturer in courses organized by other faculty. Assist in the training of new employees. Serve as a resource and/or mentor to coworkers. Assist in the development and presentation of department training. Identify training needs and provide necessary coaching.


•Ph.D. in related discipline, MD, or equivalent degree.
Candidates must have a doctoral degree in biomedical informatics, bioinformatics, computational biology, computer science, biostatistics or a related field. Prior experience with next generation sequencing data and R/python programming is necessary.

• The ideal candidate will have an excellent understanding of cell and cancer biology, computational genomics, high throughput sequencing technologies, biostatistics, programming and a proven track record of success. Excellent written, verbal and communications skills are crucial. Original and out-of-the box thinking is welcomed.

Organization: Possess strong organization skills and attention to detail
Research Methods Skills: Designing and conducting effective research studies that address measurement, data collection, and validity issues; identifying or developing appropriate, accurate, relevant, and reliable measurement methods; drawing appropriate conclusions from study results.
Analysis: Strong analytical skills with the ability to make judgments and recommendations based on statistical analysis
Statistics - Intermediate: Familiarity with statistical software, statistical techniques, statistical process control principles, and graphical data display
Information Analysis:
Time Management: Prioritization and time-management skills sufficient to meet deadlines in a fast-paced environment
Communication – Advanced: Excellent verbal, written and/or interpersonal communication skills
Programming – Basic: Working knowledge of programming
Writing – Scientific: Strong scientific writing abilities