Company:  Confidential

Job Title: Postgraduate Associate in Genetics – Computational

Job Number: 75371

Location: New Haven, US

Job Description

We are seeking a motivated postgraduate researcher to join our growing and dynamic team in the Yale Center of Genomic Health and Department of Genetics, Yale School of Medicine. Our lab uses computational and experimental genomics methods to determine how genetic variation in our mitochondria underlies health and disease. We also prioritize translating our research into practical tools that benefit research and clinical communities.


We highly value diversity of backgrounds in our team. The appointment is for 1 year, with the possibility to extend to 2 years. This position is well-suited for individuals planning to attend graduate or medical school. The start date can be flexible, and as soon as Spring 2024.


The lab is located in the Department of Genetics in the Yale School of Medicine which offers an outstanding training environment for postgraduate scientists, with state-of-the-art facilities and resources to support career development. For more information about our lab see our website:


Responsibilities & Training


The successful candidate will have the opportunity to learn and apply cutting-edge methods in computational genomics, including analysis of large-scale genomics datasets, bioinformatic tools and pipelines, and high-performance computing.


General responsibilities include:

•               Plan and perform research analyses

•               Generate, analyze, and organize data

•               Attend and present at lab meetings and journal clubs

•               Maintain code repositories, and support lab operations as needed

•               Positively contribute to lab culture


Mentoring & Career Development


The Lake Lab has a strong emphasis on mentorship and values the opportunity to train junior scientists. The Principal Investigator will work with the successful candidate to develop and implement a mentorship plan tailor-made for their goals, interests, and needs, and provide ongoing support for the advancement of research and career goals via regular meetings. Supporting candidates to achieve authorship on at least one manuscript will be a priority.


The successful candidate will also gain access to a wide range of career development opportunities at Yale. This includes opportunity to attend Yale seminars and other departmental events, as well as professional development and networking activities via the Yale Postgraduate Association, Yale Office for Postdoctoral Affairs, and other offices at Yale.




Candidates should have a bachelor’s or master’s degree in either genetics, genomics, computational biology, bioinformatics, or a related field. Experience with programming languages and excellent coding skills is required. Prior experience with genetics research projects is desirable but not required.


The ideal candidate will also demonstrate:

•               A high level of drive and initiative

•               Ability to work as part of a team and independently

•               Eagerness to learn new skills

•               Excellent communication skills, both written and verbal

•               Good organizational skills

•               An understanding of genetics and genomics.


Application Instructions


To apply, please email Dr. Nicole Lake at [Please click the Apply button for the link or email] using the subject ‘Postgraduate Application- Lake Lab’ and include (1) a cover letter summarizing your experiences, research interests, and career goals, and why you are interested in joining our lab, (2) your CV, including contact details of three references, and (3) when you are available to start.


Interested candidates are encouraged to submit their applications promptly. 


For further information and inquiries about this position, please contact Dr. Lake or visit the lab website at


Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

Application Deadline: 2024-04-30


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