Charles River Analytics Scientist - Physiological Systems in Cambridge, Massachusetts
Scientist - Physiological Systems at Charles River Analytics (View all jobs) (https://boards.greenhouse.io/charlesriveranalytics90)
Are you interested in tackling challenging, real-world problems using the latest techniques in human state assessment and machine learning? Are you considering the next step in your career? Charles River Analytics is looking for bright, enthusiastic minds to join our next generation of talented individuals developing human state assessment solutions for our customers.
We are a 100% employee-owned small business researching new computational approaches and developing novel software for our US Government and commercial customers. That new thing coming out of DARPA? Yep, that’s us. We take great pride in our ability to apply current and emerging machine learning techniques that not only solve real-world problems but attract and retain the most talented and creative problem solvers in our field. Join our team and become an employee-owner at one of Boston’s Best Places to Work (https://cra.com/company/news/excelling-workplacebr-boston-business-journal-names-charles-river-analytics-one-best) !
We are looking for a newly minted PhD Scientist to address challenging problems in domains related to human state assessment, performance optimization, physiological event detection, health and wellness, and medical diagnostics. Projects will range across multimodal physiological and neurophysiological sensor processing, human brain imaging, standoff health assessment, and concussion diagnosis using novel sensor technologies, wearables, virtual reality, and smart fabrics.
As a Scientist in the Physiological System group, you will support evaluation of research ideas (both empirical and qualitative) and document your results in a form suitable for peer-reviewed publication. You will need to be able to quickly read and understand scientific papers in new domains, and apply previous research to create new designs, while remaining abreast of current design trends, scientific advances, and software development practices. This position is one that is best suited to an independent thinker with an entrepreneurial drive, as there will be significant opportunity to define your own areas of specialization through generation of novel proposals to develop awesome technical solutions as you grow into your role.
Develop software implementations of signal filtering and noise reduction algorithms
Develop feature extraction methodologies and implement them in code for real time data ingestion, processing, analysis
Pursue novel applications of technologies to address challenging real-world problems, including establishing new areas of research
Contribute to proposals, reports and papers, and present work at briefings and conferences when appropriate
Work with software engineers in developing technology solutions
Interact with customers, users, and domain experts to analyze and understand challenges
PhD in Neuroscience/Computational Neuroscience/Cognitive Science/Psychology, Human Factors Engineering, Human-Computer Interaction, or a related field
Demonstrated ability to lead innovative, self-directed research, manage relationships with customers and users, and identify and pursue emerging opportunities
Ability to apply scientific theories to user needs and work well with a software engineering team to define the direction of technical solutions
Experience developing applications or embedded systems that require input from hardware sensors
Proficiency in at least one of the following software languages: C/C++, Python, R, Matlab
Strong statistics background and familiarity with common data manipulation and statistics packages (e.g., statsmodel, lme4, glmnet, numpy, scipy, matplotlib, pandas)
Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras)
Ability to identify and articulate creative and technically-sound solutions to challenging scientific and operational human-machine system problems
Proven ability to generate proposals, publications, or similar written materials
Strong verbal and written skills to support proposal writing, interaction with customers, and presentations at technical conferences
Candidates with the following qualifications will be highly considered:
A record of publications in any of the above fields
Experience with machine learning, specifically in time series domains
Experience directly interacting with customers and/or users, including knowledge elicitation experience
Candidates should have a demonstrated capability to work both independently and effectively within a team environment, and will be expected to interact with and present to clients. Writing and design samples may be requested. The selected candidates may need to obtain a government security clearance therefore US citizenship is required.
Charles River Analytics offers an attractive benefits package including employer-paid medical/dental insurance, profit sharing, paid paternity/maternity leave, tuition reimbursement, an on-site gym, free parking, generous paid time off and a casual + flexible environment. We are accessible by public transportation.