at The Jackson Laboratory in Bar Harbor, Maine, United States
The Jackson Laboratory is immediately seeking a computational scientist at the level (Associate/Full Computational Scientist) to join our Computational Sciences group. This position offers the opportunity to make leading contributions to cutting edge research in mouse genetics, disease biology, and translational research in collaboration with the faculty and genetic resource scientists and clients of The Jackson Laboratory (JAX). Cross campus and industry collaborations are encouraged. These positions have primary responsibility for providing statistical and analytical bioinformatics expertise and interpretation in the scientific research programs at the Jackson Laboratory and its collaborative programs.
Successful candidates will have:
In-depth knowledge and experience in High Throughput Sequence (HTS) data analysis, microarray data analysis, experimental design, data integration, algorithm development, development of sequence analysis tools (bioinformatics programming), evaluation of analytical tools, and technology, and delivering training to the research community.
A clear understanding and implementation of different machine learning algorithms such as logistic regression, decision trees, SVM, Naive Bayes, KNN, neural networks, gradient descent, Random forest, ensemble gradient boost, etc.
Solid knowledge of scripting languages (Perl, Python, R or Ruby), and Unix OS
Experience with large genomic datasets such as TCGA, CCLE, 1000 Genomes Project, ExAC, gnomAD, and related resources
Excellent oral communication skills, including skills necessary to present at the conferences and workshops, write study designs, analytical methods and contribute to grant applications
Strong track record of peer-reviewed publication in reputed scientific journals
Characteristic distinction from Associated Computational Scientist to full Computational Scientist include increased ability to work independently, development of in-depth knowledge in selected biological disciplines to analyze and provide expert reasoning to the relevant projects and provide project and grant application leadership. A full Computational Scientist is expected to independently establish collaborations within JAX, providing expert reasoning to the projects relevant to his disciplines and make leading contributions to the grant applications in collaboration with JAX researchers.
Associate Computational Scientist performs, under minimal supervision, Computational analysis of omics data, algorithm development and implementation, as well as bioinformatics programming. Evaluating data for quality assurance and mining bioinformatics databases. Present the results at the international conferences and workshops. Contributing to the education and training courses conducted by CS and The JAX for internal as well as external communities. Computational Scientist are expected to do so without supervision.
Associate Computational Scientist starts demonstrating strong potential to develop analytical expertise to a few selected biological disciplines, independent collaboration and project leadership.
Full Computational Scientist independently establishes collaborations within The Jackson Laboratory, provide expert reasoning to the projects relevant to the scientist's disciplines of research disciplines, lead or co-lead grant writing in collaboration with the researchers at The Jax as demonstrated by role as PI and co-I in the grant applications. A scientist also demonstrates strong potential to carrying out the collaborative bioinformatics program independently.
Participate in departmental and project activities such as developing pipelines, participating in conducting courses and workshops at JAX, provide leading contributions to grant applications, helping students and scientists, and processes to JAX community and at conferences and workshops as assigned.
Associate Level requires a PhD in Bioinformatics, Computer Science, Biostatistics or any relevant area plus 2-5 years of experience in Bioinformatics research, excluding time spent to obtain PhD while a Full Level will possess 5-10 years of experience in Bioinformatics research, excluding time spent to obtain PhD.
Successful incumbents demonstrate excellent verbal and written communication skills.
Demonstrated experience managing projects and collaborations is key.
Prior successes in and desire to contribute to team projects on an ongoing basis is a must.
The ideal candidate will:
Have experience in bioinformatics research and demonstrated aptitude and capacity for developing bioinformatics expertise in the niche areas of biological sciences and relevant translational research (especially cancer biology and statistical... For full info follow application link.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.To view full details and how to apply, please login or create a Job Seeker account