February 7, 2024
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Chapel Hill, NC, United States
February 7, 2024
Apply NowJob description
We are currently seeking a talented and motivated Data Scientist to join our team, supporting the National Institute of Environmental Health Sciences (NIEHS) Office of Data Science. This role is instrumental in advancing the application of scientific data to enhance public health, involving the development and application of cutting-edge systems and tools for capturing, organizing, analyzing, and visualizing biomedical research data. The position offers a full-time opportunity, either on-site or remote, based in Durham, NC.
Responsibilities
Collaborate with our team to enhance the efficiency of current data processing through innovative programming approaches.
Participate in the design and engineering of relational database schemas for optimized performance and flexibility.
Write custom code in scripting languages to automate data transfer, storage, and backup processes.
Retrieve and work with data from various sources in collaboration with staff.
Develop and implement new applications, databases, or software tools, contributing to operational and developmental improvements.
Apply analytic methods to solve real-world problems, utilizing statistical and computational techniques.
Create scientific web- and data-centric applications for collecting, processing, managing, analyzing, and visualizing scientific data.
Deploy web and software applications to servers, including Linux systems using Docker.
Support the development and customization of scientific data and knowledge management systems.
Develop scientific applications using R, Shiny, and/or Python.
Collaborate with staff to develop, test, and apply advanced statistical and computational methods.
Maintain and monitor applications, databases, or software tools, ensuring successful software updates.
Contribute to the development of database applications and tools supporting bioinformatics and scientific computing research projects.
Develop Standard Operating Procedures (SOPs) for comprehensive program data management.
Provide feasibility studies and research to enhance the compatibility and ease of use of scientific databases for extensive data analyses.
Contribute to the publication of the lab's software and research, providing technical descriptions of implemented algorithms.
Prepare roadmaps, schedules, status reports, plans, and recommendations.
Design, develop, and deploy software for multi-core and high-performance computing systems.
Troubleshoot and refine existing code, documenting in-house software for training and reference purposes.
Requirements
Bachelor's degree.
At least 3 years of relevant data science experience.
Experience in Scientific Data Analysis, Data Visualization, Machine Learning, Data Annotation, or Data Cleaning.
Proficiency in JavaScript, Python, HTML5, or Linux.
Ability to develop, deploy, and maintain web tools.
Preferred Qualifications
Background in Biology, Computer Science, Information Science, or Statistics and Decision Science.
Interest in researching data collection methods.
What We Offer
We provide a comprehensive total rewards package, including competitive compensation and a flexible benefits package, reflecting our commitment to creating a diverse and supportive workplace. Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance, and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus.
Employment Type: Full-Time
Responsibilities
Collaborate with our team to enhance the efficiency of current data processing through innovative programming approaches.
Participate in the design and engineering of relational database schemas for optimized performance and flexibility.
Write custom code in scripting languages to automate data transfer, storage, and backup processes.
Retrieve and work with data from various sources in collaboration with staff.
Develop and implement new applications, databases, or software tools, contributing to operational and developmental improvements.
Apply analytic methods to solve real-world problems, utilizing statistical and computational techniques.
Create scientific web- and data-centric applications for collecting, processing, managing, analyzing, and visualizing scientific data.
Deploy web and software applications to servers, including Linux systems using Docker.
Support the development and customization of scientific data and knowledge management systems.
Develop scientific applications using R, Shiny, and/or Python.
Collaborate with staff to develop, test, and apply advanced statistical and computational methods.
Maintain and monitor applications, databases, or software tools, ensuring successful software updates.
Contribute to the development of database applications and tools supporting bioinformatics and scientific computing research projects.
Develop Standard Operating Procedures (SOPs) for comprehensive program data management.
Provide feasibility studies and research to enhance the compatibility and ease of use of scientific databases for extensive data analyses.
Contribute to the publication of the lab's software and research, providing technical descriptions of implemented algorithms.
Prepare roadmaps, schedules, status reports, plans, and recommendations.
Design, develop, and deploy software for multi-core and high-performance computing systems.
Troubleshoot and refine existing code, documenting in-house software for training and reference purposes.
Requirements
Bachelor's degree.
At least 3 years of relevant data science experience.
Experience in Scientific Data Analysis, Data Visualization, Machine Learning, Data Annotation, or Data Cleaning.
Proficiency in JavaScript, Python, HTML5, or Linux.
Ability to develop, deploy, and maintain web tools.
Preferred Qualifications
Background in Biology, Computer Science, Information Science, or Statistics and Decision Science.
Interest in researching data collection methods.
What We Offer
We provide a comprehensive total rewards package, including competitive compensation and a flexible benefits package, reflecting our commitment to creating a diverse and supportive workplace. Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance, and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus.
Employment Type: Full-Time
