Data Scientist

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Full Time Salary Professional St. Louis, MO, US

30+ days ago Requisition

Harris-Stowe State University is a historically Black institution (HBCU) located in the heart of vibrant mid‑town St. Louis, Missouri. Harris‑Stowe’s beautiful campus is minutes from the renown Gateway Arch, St. Louis Zoo, St. Louis Art and History Museums, Forest Park and other cultural and educational institutions. Harris‑Stowe’s diverse faculty and staff provide a wide range of academic programs to one of the most culturally diverse student bodies in the St.

Louis region.

We are seeking a talented Data Scientist to analyze data from our research on the effects of light pollution on pregnancy. This is a limited‑time position funded by a grant. 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.

• 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 project’s 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.

• 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.

• Master’s degree or higher in Data Science, Statistics, Computer Science, Neuroscience or a related field.

• Neuroscience Fundamentals
  :
  Solid understanding of neurobiology, including knowledge of brain anatomy, neural networks, electrophysiology, neurodevelopment, and neurodegenerative diseases. Familiarity with concepts such as synaptic plasticity, brain mapping, and neural signaling pathways.
• Biological Data Types
  :
  In-depth knowledge of various data types relevant to neurobiology, such as genomic, transcriptomic, proteomic, and electrophysiological data. Understanding of imaging data (e.g., MRI, fMRI, DTI), neural spike trains, and behavioral datasets.
• Statistical Methods
  :
  Expertise in statistics, including linear models, Bayesian methods, hypothesis testing, and statistical significance, specifically applied to neuroscience data. Understanding of how to handle biological variability and noise in data.
• Bioinformatics
  :
  Familiarity with bioinformatics, particularly the analysis of high‑throughput sequencing data, gene expression analysis, and protein‑protein interaction networks relevant to neurobiology.
• Data Ethics and…