Job 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

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