Data Scientist

COMPANY DESCRIPTION:

Alto Neuroscience is a clinical-stage biopharmaceutical company that integrates the biology of the patient into drug development to improve the lives of people with mental health conditions. Currently, there is no objective way to diagnose psychiatric illness, nor to identify which treatment is best for an individual patient. Treatment selection is presently done by trial-and-error as there are no tests that can inform these decisions. Through our AI-enabled biomarker platform, we combine rich sources of information on patients' brain activity and behavior to rapidly develop highly-effective medicines for targeted populations. We aim to replace today's trial-and-error clinical approach by aligning the right Alto drug with the right patient, redefining psychiatry at a time when the world needs it most. Come join us on our mission to re-imagine and re-engineer the treatment of mental illnesses!

PRIMARY ROLE:

This position will work with an inter-disciplinary team of physicians, research scientists, and software developers to disrupt the current approaches to treating mental health conditions leveraging innovative machine learning and artificial intelligence techniques. The person in this position will oversee and perform machine learning analysis on multi-dimensional features from data generated in clinical studies leveraging Alto's Precision Psychiatry Platform.

DUTIES AND RESPONSIBILITIES:

• Design, build and test machine learning algorithms for prediction of treatment response and classification of patient subtypes using multi-dimensional and multi-modal clinical data that may include brain, cognition, and behavior data.
• Participate in the design, development, and maintenance of the machine learning infrastructure that facilitates biomarker discovery.
• Collaborate with other data scientists as well as clinical experts to ideate and solve complex issues pertinent to data ingestion/curation, modality integration, model performance, model generalization.
• Document code, results, and details of the approaches in a thorough and systematic way in order to promote knowledge sharing and code re-use.
• Research and recommend new and innovative approaches to analyzing complex data sets to advance mental health research objectives.
• Present research findings to internal leadership and stakeholders.
• Other duties and projects as determined by the CDSO

• QUALIFICATIONS:

• Master or PhD degree in Engineering, Neuroscience, Bioinformatics, or other quantitative fields with strong analysis and programming experience
• 3+ years of machine learning experience using health/biosignals
• Excellent understanding of machine learning techniques and algorithms
• Strong data engineering skills
• Experience with common data science toolkits and libraries, such as scikit-learn, Pandas, NumPy, SciPy, Pytorch, TensorFlow, etc.
• Working knowledge of Linux OS
• 2+ years of Python programming and product development experience
• A team player focused first on the company mission
• Strong organizational, problem-solving, and analytical skills, communication, and interpersonal skills; able to manage priorities and workflow.
• Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm
• Self-motivated and curious with a strong desire for continuous learning

• Strong business acumen

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