Open position: Research Scientist
position description
The Dartmouth Presidential Cluster on the Neural Code is dedicated to the computational and neurophysiological underpinnings of human behavior and health. Our goal is to combine analyses of large-scale datasets with novel scientific studies of brain imaging, electrophysiology, and neuromodulation to deliver next-generation models and tools for human neuroscience. We are looking for a motivated, high-performing scientist with strong interests in analytics and human neuroscience to join our team as a staff Research Scientist. The successful candidate will (a) lead projects modeling relationships among multimodal brain data and affective/motivational, cognitive, genetic/genomic, and clinical characteristics in large-scale datasets (e.g., the UK Biobank, ABCD, HCP, ROS-MAP, and A2CPS projects); (b) integrate findings from large-scale studies with new studies linking neuroimaging, neuromodulation, and social and emotional function, with a focus on dynamic systems models of interactions among brain circuits; © lead publications on these topics; and (d) transition to leading a collaborative and/or independent research program on related topics. Competitive candidates will possess strong data science and computational skills and a desire and ability to work as part of collaborative, multidisciplinary research teams.
Required qualifications
PhD plus 3-5 years’ experience or equivalent combination of education and experience
Skills, knowledge, and abilities
- Ph.D. in relevant technical field (computer science, engineering, physics, mathematics, neuroscience).
- 5+ years of relevant development/laboratory/ programming experience (can be during Ph.D.)
- Proficient in programming languages relevant to neuroimaging and computational science (e.g., bash, python, R, Matlab).
- Proficient in machine learning and/or deep learning tools (e.g., scikit-learn, tensorflow, pytorch).
- Proficiency in developing and deploying containerized applications (e.g., Docker, Singularity) .
- Proficiency in deploying jobs on cloud compute platforms (e.g., AWS) and high-performance computing (e.g., SLURM).
Preferred qualifications
- Experience with human neuroimaging data analysis with relevant software (e.g., FSL, SPM, ANFI, FreeSurfer) and standards (BIDS).
- Proficiency in dynamic systems, control systems, state-space models, Bayesian models
- Portfolio of analytic/software projects related to neuroimaging and data science (e.g., on Github).
- First-author publications in data science and computation
Key accountabilities
Percentage of time: 70%
- Lead advanced data analyses (e.g., machine learning and deep learning) in collaboration with Cluster-associated researchers.
- Lead publication of scientific papers.
- Assist in preparation of collaborative manuscripts and co-author manuscripts.
- Actively develop skills, knowledge, and abilities to maintain knowledge of best practices in neuroimaging data processing and analysis.
- Support and contribute to research grant proposals as a Co-Investigator.
- Optional but not required: Write and lead research grants as Principal Investigator, with support.
Percentage of time: 30%
- Maintain and manage storage of large datasets on RC high-performance computing array and facilitate access for authorized researchers.
- Develop and maintain documentation on Research Computing use, pipelines, pathways, and best practices.
- Facilitates availability of specialized software and analysis tools on RC systems.
- Assist collaborating researchers with integration of new processing and analysis techniques into data processing and analysis pipelines·
- Identify opportunities for improvements and available datasets for collaborative use, and anticipate future data storage needs.
Apply
To apply, please send a cover letter and CV to both Tor.Wager@dartmouth.edu & Courtney.Rogers@dartmouth.edu