Postdoctoral Scientist, Mazumder Lab
The Biochemistry and Molecular Medicine (BMM) department at the George Washington University School of Medicine and Health Sciences (SMHS) strives to deliver the highest quality of professional education and training, and conduct cutting edge research in the areas of biochemistry, molecular genetics and genomics with a goal to better understand human disease. The Department continues to have a long and successful record in training Undergraduate, Master and Graduate Students. Research Programs span from cancer biology, hepatobiology, autism, vascular biology, and computational genomics. Unlocking the mysteries of biologic processes at the molecular and genomic level is the common thread connecting all research programs. The research in the Department continues to connect modern biochemistry and genomic discoveries to translational medicine, leading to a unique multidisciplinary research program in biochemistry and molecular medicine.
This highly dynamic post-doctoral position is primarily a temporary/training position in which the incumbent plays a substantive role in planning and conducting research by designing and conducting experiments in a Bioinformatics laboratory setting. In collaboration with the Principal Investigator, this role will participate in the planning of independent research in glyco-informatics and cancer biomarker-informatics NIH funded projects. This position will analyze and interpret glycan, protein and gene data for integration in knowledge bases. The post-doctoral position will publish results, represent the university at conferences and meetings, and may develop new theories and methodologies. This position may also help the Principal Investigator to lead and direct the work of lower level research staff. This role performs work under the supervision of experienced researchers.
-Researches, interprets, and conducts analysis of data for various research projects related to glycol-informatics and cancer biomarker-informatics. Implements research methodology based on outcome of analysis.
-Collects, integrates, critically analyzes, and interprets data for individual projects or knowledge bases funded by NIH, FDA, pharmaceutical companies and others.
-Develops data integration and quality control pipelines, creates and maintains documentation. Ensures high data fidelity and data quality.
-Conducts and leads informatics and standards development research related to glycan, protein and genomic data. Uses qualitative and quantitative research methods to collect, and analyze data.
Conducts data mining, curation and integration of glycobiology and biomarker-specific information for knowledge bases such as GlyGen (glygen.org) and OncoMX (oncomx.org); Identifies and manages external collaborations and sponsors
-Works with the team to develop data specifications, data integration scripts, and data model.
-Communicates with sponsors and potential collaborators to establish collaboration for data acquisition; coordinates projects, and delegate tasks with other team members and cooperation partners.
-Maintains and routinely updates datasets by interface testing, updating, and integrating new versions of data. Responds to and manages user feedback.
-Creates or assists in the development of project reports, progress reports, presentations, posters, draft/preparatory publications, and proposals.
-Trains users including new employees and students in bioinformatics techniques.
-Represents the university at conferences and meetings as needed.
- Attends and/or plans weekly, bi-weekly, monthly and annual project meetings with collaborators and stakeholders while also working with team members to provide monthly and/or annual reports as needed.
- Performs other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position.
Qualified candidates will hold a PhD in a related discipline. Degree must be conferred by the start date of the position.
-A PhD degree with glycoinformatics or glycobiology related experience.
-Knowledge of glycans, programming skills in python, and a strong publication record.
-Knowledge of standardization of data, carbohydrate chemistry, biochemistry, proteomics, genomics and existing glycobiology and protein related resources.
-Strong analytical, research, and development abilities.
-Ability to work both independently and collaboratively with teams.
-A team player, with leadership qualities and exceptional communication skills.
-Detail-oriented, with excellent writing and editorial skills.
-Highly organized, with the ability to plan and have ownership of tasks to fruition.
The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.