The research group of Professor Gingeras at Cold Spring Harbor Laboratory investigates the storage of functional information within genomes, crucial for understanding how gene mutations impact biological and clinical outcomes in humans and other organisms. His leadership in large-scale projects like ENCODE has revealed that genomes, from bacteria to humans, undergo pervasive transcription generating noncoding RNAs (ncRNAs), which play diverse roles beyond protein production, including in gene regulation and cellular signaling. This research is pivotal for mapping RNA transcription across genomes, influencing various aspects of disease diagnosis and treatment, such as the dysregulation of PTEN by ncRNAs like HOTAIR in endometrial cancer, particularly in obese individuals with disrupted adipogenesis and lipid metabolism.
We are seeking a postdoctoral researcher to participate in projects seeking the causes and mechanisms of action of short RNAs in the development of inflammatory reactions and in the development of chronic lymphocytic leukemia (CLL) from Monoclonal B-cell Lymphocytosis (MBL).
Position Requirements
Education: Candidates must hold a PhD in computational biology with background in engineering, computer science or statistics or a similar field. Skills/Experience: Candidates should have experience in the analysis of genomic data including: RNA and DNA long and short sequencing and ChIPseq data. Machine Learning approaches for genomic predictions in the CLL and MBL disease states are highly desirable. Excellent communication, organizational skills and strong problem-solving talents are required.
Supplemental Information
How to Apply: If you are eager to contribute to groundbreaking research, we encourage you to apply for this exciting opportunity. Please submit an online application here: Computational Postdoctoral Fellow- Gingeras Lab Position 1045. We look forward to reviewing your application.
Environment Cold Spring Harbor Laboratory is a world-renowned biomedical research institution in New York. It has shaped contemporary biomedical research and is the home of eight Nobel Prize laureates. Cold Spring Harbor Laboratory provides a highly dynamic and interactive research environment and also a unique opportunity of timely exposure to advances in various biomedical research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program. We believe that science is for everyone. We have had researchers with a variety of backgrounds and believe in the importance of diversity, equity, and inclusion.
Compensation & Benefits Our employees are compensated in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, paid time off, and a range of recognition and wellness programs. Visit our CSHL Benefits , Postdoctoral Landing & Postdoctoral Fellow Stipend Schedule(Download PDF reader)(Download PDF reader)(Download PDF reader) sites to learn more. The salary for this role is $76,440.00 per annum. The salary range or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a base salary and/or rate, several factors may be considered as applicable (e.g., years of relevant experience, education, credentials, and internal equity).
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Education: Candidates must hold a PhD in computational biology with background in engineering, computer science or statistics or a similar field. Skills/Experience: Candidates should have experience in the analysis of genomic data including: RNA and DNA long and short sequencing and ChIPseq data. Machine Learning approaches for genomic predictions in the CLL and MBL disease states are highly desirable. Excellent communication, organizational skills and strong problem-solving talents are required.
Since 1890, Cold Spring Harbor Laboratory (CSHL) has been a global leader in research and education. The international scientific community at CSHL provides a unique and stimulating atmosphere for doctoral research?an environment where students, postdoctoral fellows, and faculty work side-by-side. The Watson School of Biological Sciences (WSBS) was founded on the belief that with well thought-out mechanisms, enthusiastic involvement of faculty, and highly motivated students, an innovative curriculum could be provided that would allow students to earn a doctoral degree in a shorter time than in traditional programs without compromising the quality of their training. The curriculum is designed to train students to become scholars and independent thinkers.