Postgraduate Computational Associate Position | The Hattie Chung Lab
The Hattie Chung Lab at the Yale School of Medicine, Cardiovascular Research Center pioneers experimental and computational methods to study the principles of cellular heterogeneity that underlie tissue function in health and disease. Our main goal is to understand how the coordination of cell signaling across time and space impacts tissue function, by developing novel single-cell and spatial genomics technologies and computational methods. Our applications span ovarian aging, cardiovascular disease, and drug response. For more information, please visit www.hattiechunglab.bio.
Responsibilities
We are seeking a postgraduate computational associate to join our growing team. This role is ideal for a graduating senior or a recent college graduate looking for a 2-year research experience before pursuing a Ph.D. or an. M.D. The candidate will work on numerous projects to analyze cutting-edge single-cell and spatial genomics data. Responsibilities include designing predictive algorithms for perturbations, data processing, implementing linear models, devising statistical tests, and developing biophysical models. Furthermore, candidates will have the opportunity to work on large language models, generative models, and optimal transport techniques with our collaborators that leverage our unique biological data and questions combined with cutting-edge algorithms. The candidate will also play a pivotal role in developing and shaping the new Chung Lab with opportunities to mentor undergraduate students.
Mentorship and Training
The postgraduate associate will attend weekly lab meetings and work collaboratively to analyze large-scale single-cell and spatial genomics data. They will also meet regularly with Dr. Chung and collaborators, present at group meetings, and attend seminars at Yale. The candidate will be mentored to make intellectual contributions to lab projects, including the design of novel algorithms and computational approaches, which will be recognized accordingly with authorship of manuscripts.
Qualifications
Candidates must hold a bachelor’s degree in engineering, computer science, statistics, bioinformatics, mathematics, or a related field with strong quantitative and computational training. A minimum of 2 years of computational research experience is required, which may include experience gained as an undergraduate. We seek candidates with a strong background in programming and statistics who are committed to rigor. Candidates experienced in any of the following areas will be strongly preferred: large-scale genomic analysis, single-cell and/or spatial data, and machine learning. Fluency with Unix and python is required, and experience with R is preferred. Candidates are expected to have excellent verbal and written communication skills and the ability to work collaboratively with others.
How to Apply
Candidates should email Dr. Chung at hattie.chung@yale.edu with the subject line “Postgraduate computational associate – [YOUR NAME]”. Please include the following: (1) CV, (2) a cover letter describing key research experiences, interests, career goals, and preferred start date, and (3) contacts of at least two references. The ideal start date would be June 2024 or earlier.
Yale University is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.