Harris-Stowe State University · 21 hours ago
Data Scientist
St Louis, MO
Full-time
Onsite
Mid LevelHarris-Stowe State University is a historically Black institution located in St. Louis, Missouri, seeking a talented Data Scientist to analyze data on the effects of light pollution on pregnancy. The successful candidate will utilize advanced statistical and computational techniques to interpret complex datasets and contribute to the understanding of environmental impacts on reproductive health.
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Responsibilities
Train and organize undergraduate researchers
Collaborate with researchers to design experiments and analyze results
Present findings to the research team and at conferences
Stay abreast of industry trends, emerging technologies, and best practices in neurobiology and data science trends and technologies
Analyze large datasets related to light pollution and pregnancy outcomes
Develop and implement data models and algorithms
Order supplies associated with the projects data analyses
Lead the planning, design, and launch of new grant related protocols and procedures in line with industry standards
Conduct experiments related to light pollution effects on pregnancy, under the guidance of senior researchers
Record, store, and manage experimental data accurately
Ensure compliance with safety and regulatory guidelines
Maintain a clean and organized lab environment
Assist in the preparation of laboratory reports and presentations
Plan and execute Lab safety and procedure trainings
Provide guidance and support to senior faculty and undergraduate researchers in the development and delivery of all aspects of the grant
Visualize data findings through charts, graphs, and reports
Ensure data integrity and security
Other duties as indicated by the PI of the grant
Qualification
Required
Master's degree or higher in Data Science, Statistics, Computer Science, Neuroscience or a related field
Experience with statistical software (e.g., R, SAS, SPSS) and programming languages (e.g., Python, SQL)
Strong analytical and problem-solving skills
Experience with data visualization tools (e.g., Tableau, Power BI)
Excellent communication and teamwork skills
Strong attention to detail and organizational skills
Ability to work independently and as part of a team
Excellent communication skills
Solid understanding of neurobiology, including knowledge of brain anatomy, neural networks, electrophysiology, neurodevelopment, and neurodegenerative diseases
In-depth knowledge of various data types relevant to neurobiology, such as genomic, transcriptomic, proteomic, and electrophysiological data
Expertise in statistics, including linear models, Bayesian methods, hypothesis testing, and statistical significance, specifically applied to neuroscience data
Familiarity with bioinformatics, particularly the analysis of high-throughput sequencing data, gene expression analysis, and protein-protein interaction networks relevant to neurobiology
Awareness of the ethical considerations in handling sensitive biological data, especially in human neuroscience research
Strong programming skills in languages commonly used in data science and neurobiology, such as Python, R, MATLAB, and Julia
Ability to clean, preprocess, and organize complex and large datasets
Skill in applying advanced statistical techniques for analyzing biological datasets
Proficiency in visualizing complex data in meaningful ways to communicate findings
Skill in analyzing neuroimaging data, such as MRI, fMRI, or EEG data
Skill in implementing ML algorithms to detect patterns in neurobiological data
Ability to develop custom algorithms for specific neurobiological applications
Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing (HPC) environments
Ability to apply logical reasoning and creative thinking to interpret complex neurobiological data
Ability to collaborate effectively with neuroscientists, biologists, clinicians, and other researchers
Strong ability to interpret the results of statistical analyses and machine learning models within the context of neurobiology
Precision in handling and analyzing large and complex datasets
A natural curiosity to explore complex neurobiological questions using data-driven approaches
Ability to integrate diverse datasets (e.g., imaging, genetic, behavioral) into unified analyses
Ability to effectively visualize and communicate complex findings to stakeholders, collaborators, and within academic publications
Ability to quickly learn and adapt new tools, software, and analytical methods
Preferred
Prior neuroscience laboratory experience preferred
Master's degree or higher in Data Science, Statistics, Computer Science, Neuroscience or a related field
Company
Harris-Stowe State University
Harris-Stowe State University is a school in Saint Louis, Missouri
Founded in 1857
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
$6.5MKey Investors
Propel CenterWells Fargo FoundationUnited Health Foundation
2022-08-25Grant· $0.2M
2022-07-28Grant· $2M
2022-01-01Grant· $0.05M
Leadership Team
Freddie E. Wills, Jr., PhD
Vice President for STEM Initiatives and Research Partnerships
Tahir Younas
Chief Information Officer
Recent News
St. Louis Business Journal
2025-03-20
2023-02-16
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