Senior Data Scientist, Research

This is a fully remote position, open to applicants in California.

📋 Description

• Engage in biomedical research initiatives utilizing programming, data mining, statistics, machine learning, and visualization techniques.

• Innovate, design, assess, and implement algorithms, methods, and software for the analysis of biomedical data.

• Conduct database queries and execute data cleaning, quality control, exploratory data analysis, and analytical techniques.

• Develop and deploy AI-driven analytical frameworks, predictive models, and computational tools for research on ALS, Alzheimer's disease, and Parkinson's disease.

• Integrate single-cell and spatial transcriptomics, CITE-seq, spatial proteomics, and various multimodal datasets.

• Establish database-to-deployment pipelines utilizing R, Python, SQL, and neo4j.

• Build sustainable data science infrastructure and scalable, reproducible AI/ML pipelines.

• Write clean, efficient, reusable code maintained on GitHub; test, validate, and deploy models across multiple environments.

• Lead the dissemination of scientific results through laboratory meetings, scientific conferences, peer-reviewed publications, grant proposals, and new research endeavors.

• Collaborate with data scientists, computational biologists, experimental researchers, senior researchers, lead research data scientists, and principal investigators.

• Act as a resource for 1–2 staff members supporting algorithm, method, and software development, evaluation, and application.

• Provide feedback to the lead for appraisals concerning research projects and individual performance.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or a related discipline is required.

• A minimum of 5 years of professional experience in data science, healthcare, pharmaceutical sectors, or academic institutions working with biomedical, clinical, or biological data.

• Proficient programming skills at an intermediate or advanced level in a high-level programming language such as R or Python.

• Intermediate proficiency in SQL programming.

• Experience in the development and assessment of computational and/or statistical methods, including machine learning for data analysis.

• Work history should include authorship or co-authorship of one or more peer-reviewed scientific papers published in journals.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Supportive and collaborative work environment.