A post-doctoral position in computational biology is available in David McCandlish’s group in the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory.
 
 Research in the McCandlish laboratory is focused on the analysis of high-throughput mutagenesis data, with the goal of accurately predicting the phenotypic, health, and evolutionary consequences of both single and multiple mutations in protein coding and regulatory sequences.  The group has a particular emphasis on understanding complex genetic interactions and the structure of the genotype-phenotype map.
 The successful candidate will conduct computational analyses of genotype-phenotype maps in a variety of systems and/or develop new mathematical, statistical and computational techniques for modeling the effects of mutations and how mutations interact. Current research directions involve Gaussian processes, Markov chains, and population-genetic theory, with applications to protein design, regulation of gene expression, and cancer.
 
 This position is affiliated with the Simons Center for Quantitative Biology (SCQB).
 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.
 
CSHL believes that science is for everyone. We have had researchers with a variety of backgrounds and believe in the importance of diversity, equity, and inclusion.

Qualifications:
Education: Applicants must hold a PhD in a quantitative discipline such as computational biology, evolutionary biology, molecular evolution, quantitative genetics, bioinformatics, biochemistry, or molecular genetics. Individuals with backgrounds in mathematics, physics or computer science will also be considered.
Experience/Skills: Ideal candidates from the biological sciences should have proficiency in at least one computational environment such as Python, R, Mathematica, Matlab, Julia, Python, C, etc. Ideal candidates from the physical/mathematical sciences should have prior exposure to research in the biological sciences.
Interested candidates should apply online to position #02802-R using the following link:
https://www.schooljobs.com/careers/cshl   Please include a CV and publication list, a statement of research interest and contact information of three references.

Compensation and 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.
You are required to be fully vaccinated for COVID-19 as a condition to your employment at the Laboratory. You will be required to provide proof of your vaccination on your first day of employment. For those individuals, who are unable to receive a vaccine due to access issues, they will be expected to receive the vaccine upon arrival in New York.
CSHL is an EO/AA Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status. VEVERRA