at The Jackson Laboratory in Bar Harbor, Maine, United States
at the Jackson Laboratory consists of geneticists, neuroscientists, and computer scientists who are passionate about discoveries of novel targets and models for mental illness through innovation at the confluence of computational, genetic, and genomic methods. We combine traditional behavioral and neuroscience methods with modern computer vision and machine learning methods to understand how genes shape the nervous system and how this, in turn, leads to altered behaviors. We believe that by taking this multimodal approach to problem-solving we will make impactful discoveries for diagnosis and treatment of mental illness. We are recruiting a Bioinformatics Analyst for this project to join an existing team of two engineers and will teach motivated individuals machine learning and computer vision methods.
A typical project may involve determining behavioral changes that occur in response to addictive or mood-altering substances. The successful candidate will work with time-series data that may involve determining behavioral changes that occur in a short vs long-term time scale in mice due to exposure produced by other members of our lab to determine the behavioral differences between mice in these experiments. Since the team has computer vision scientists, behaviorists, and neuroscientists, no experience is required within these fields. Instead, intellectual curiosity and the ability to work across the interface of multiple fields are required. The successful candidate will receive credit for their work through authorship on academic papers and patents.
Example publications from the Kumar Lab:
The range of duties includes, but is not limited to experimental design, data quality control, data analysis, and project data management.
Carry out multidimensional, multivariate statistical analysis and modeling of data. Analysis of time series data.
Use outputs from computer vision and machine learning techniques to quantify and analyze mouse behavioral data (video-based).
Contribute to scientific journal articles, present at lab meetings, and attend scientific conferences.
Bachelor's or Master's degree in Statistics, Computer Science, or relevant quantitative sciences. Incumbents who have not achieved a Master's degree may compensate for a lack of a degree with at least five years of professional bioinformatics work experience.
Previous experience in an academic setting performing statistical analysis; interpreting and evaluating results, and compiling data preferred.
The ability to work in a fast-paced, team-oriented environment, while maintaining a high level of professionalism.
Exceptional technical skills, facility with technical software and databases, and ability to develop technical documents and presentations.
Ability to interact in a productive, professional, and positive manner to enhance the outcome of the goals of the research program.
For more information, please visit
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit.
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.