Data Science Analyst - Bioelectronics & Neuromodulation (BIONIC)- Limited Tenure
About The Position
BIONIC (BIOelectronic Neuromodulation Innovation to Cure) Data Science Analysts at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data to identify patterns and insights impacting patient health. This position is assigned to the BIONIC initiative and focuses on developing workflows for medical imaging and electrophysiological data. This role emphasizes a collaborative, team-based approach to problem-solving, working closely with clinicians, informaticians, and technical partners to develop clinically meaningful solutions. In addition to standard model development and analysis, this role requires a significant component of software and data engineering. The Data Science Analyst will develop and modify software to interface with existing systems that produce clinical data streams, supporting data management, extraction, and analysis. This is a one year limited tenure position, with the potential to turn into a regular position dependent on funding and/or department needs. This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
Requirements
- Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.
- Programming: Proficiency in Python is required.
- Data Engineering: Experience with SQL and data warehousing/data lakes is required.
- Signal Processing: Basic familiarity with time series analysis and signal processing methodologies.
- Analytics: Demonstrated application of analytical tools and methodologies (e.g., machine learning, statistical packages, modeling).
- Experience with data modeling and data exploration tools.
Nice To Haves
- Master’s degree or PhD in a relevant field and a minimum of one year of professional or research experience in data science.
- Exposure to Java or C is preferred for system interfacing.
- Familiarity with Apache Spark or similar tools is preferred.
Responsibilities
- Data Analysis & Modeling: Executes analytical procedures using machine learning, deep learning, statistical data processing, and signal processing techniques.
- Develops predictive models on datasets to address business and clinical problems.
- Software & Data Engineering: Develops and modifies scripts or software applications to support data management and extraction.
- Interfaces with existing software systems to build workflows for medical imaging and electrophysiological data.
- Consultation: Works with knowledge architects, informaticians, and clinicians to develop and deploy analytic solutions for non-technical users.
- Provides data insights for problems approachable through analytics techniques using a consultative, team-oriented mindset.
- Reporting & Communication: Contributes to the interpretation of data analysis and report writing.
- Presents findings to business or clinical practice stakeholders.
- Support: Helps customers understand datasets and provides training or suggestions for improvement on data requests.
- May support scientific projects under the guidance of a senior-level data scientist.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
