Postdoctoral Research Associate - Biostatistics, Al & ML (Hybrid Eligible)

Requisition Id 13777 

Overview:  

We are seeking a Postdoctoral Research Associate who will support the Biostatistics and Biomedical Informtatics group in the Computational Sciences & Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL).

 

You will have a unique opportunity to work in a collaborative research and development environment focusing on biostatistics, artificial intelligence (AI) and machine learning (ML). We are specifically seeking a candidate with solid experience with handling multimodal healthcare data. We are looking for someone with innovative thinking to design and implement statistical, AI and ML algorithmic solutions to real world problems in healthcare and biomedical research.

 

You will have the opportunity to conduct computational research and collaborate with scientists within the group as well as with external partners which may include other national laboratories, academia, or medical centers.

 

You will also perform groundbreaking research on a wide range of significant problems with the fastest computing platforms in the world. This position requires novel thinking, teamwork, and discovery in finding new approaches for analyzing massive and complex data, collaborating with worldwide experts, and publishing groundbreaking results.

 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

 

Major Duties/Responsibilities: 

• Participate in research projects in biostatistics, AI, and ML with applications to health sciences at the direction of principle investigators or delegated research scientists

• Integrate research in biostatistics, AI, and ML with high performance computing systems

• Work on collaborative projects within ORNL and with external collaborators

• Publish papers, participate in conferences, and contribute to grant writing efforts within the group

• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• A PhD in Biomedical Engineering, Computer Science, Statistics, or a related field completed within the last 5 years.

• A record of productive and creative research in biostatistics, AI and ML proven by publications in peer-reviewed journals and/or conference presentations.

 

Preferred Qualifications:

• A strong background in multi modal data handling – medical imaging, structured and unstructured clinical data.

• Experience in developing and applying biostatistics, AI, and ML -based solutions to healthcare data.

• Experience in neural networks: implementation and application of RNN and CNN.

• Experience in Bayesian modelling and Monte Carlo methods.

• Experience in software development and high-performance computing

• Excellent written and oral communication skills.

• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. 

• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

 

Special Requirements:

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

 

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to recruiting@ornl.gov with the position title and number referenced in the subje