Post Doctoral Fellow - Biostatistics and Data Science

The Chronicle Of Higher Education, Inc.; Baltimore (MD); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Competitive stipend

Comprehensive benefits package

Annual and sick leave

Job summary

A prestigious research university in Maryland is seeking a Postdoctoral Fellow for its Biostatistics and Data Science Laboratory. The role involves developing statistical methods for neuroimaging and multi-omics data, applying AI techniques, and drafting manuscripts. Candidates must have a Ph.D. in a quantitative field and strong programming skills in R, Matlab, or Python. The position offers a competitive stipend and comprehensive benefits package, supporting a work-life balance with annual and sick leave.

Qualifications

• Demonstrated experience in optimization computational skills.
• Proficiency in programming languages such as R, Matlab, and Python.
• Expertise in high-performance computational clusters.
• Experience handling large-scale multimodal data (neuroimaging, omics, EHR) and related tooling

Responsibilities

• Develop new statistical methods for analyzing multimodal neuroimaging data.
• Implement machine learning approaches to identify relationships between imaging modalities and multi-omics.
• Draft and prepare manuscripts.
• Develop AI/ML-based causal inference models for real-world evidence (e.g., target trial emulations).
• Integrate multiple large datasets (UKBB, HCP, ENIGMA, UMMS EHR) and contribute to manuscript drafting.

Skills

Optimization computational skills

Programming languages: R, Matlab, Python

High-performance computing expertise

Knowledge in advanced statistical theory and methods

Interpersonal skills

Education

Ph.D. in a quantitative field

Tools

High-performance computing (HPC)

Job description

Job Description

POST The Maryland Psychiatric Research Center (MPRC) at the University of Maryland School of Medicine is recruiting a Postdoctoral Fellow for the Biostatistics and Data Science Laboratory led by Dr. Shuo Chen.

The Maryland Psychiatric Research Center (MPRC) is an internationally renowned research center, which is dedicated to providing treatment to patients with schizophrenia and related disorders, educating professionals and consumers about schizophrenia, and conducting basic and translational research into the manifestations, causes, and treatment of schizophrenia.

Essential Functions

• Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR) and genetics data which are measured by longitudinally and cross-sectionally.
• Developing and applying machine learning and AI approaches to identify interactive topological relationships between various imaging modalities and multi-omics during aging and development.
• Implementing computationally intensive algorithms on high-performance computational clusters.
• Developing AI/ML-based causal inference models for real‑world evidence applications (e.g., target trial emulations- TTE).
• Developing data integration methods to combine multiple massive datasets (UKBB, HCP, ENIGMA, and etc) and local trials and observational studies (e.g., UMMS EHR).
• Manuscript drafting and preparation.
• Performing other duties as assigned.

Qualifications

• Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely.
• Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Matlab, and Python, and expertise in high-performance clusters are required.
• Knowledge, Skills, and Abilities: Knowledge in advanced statistical theory and methods.
• Strong optimization and computational skills to process large-scale medical images and analyze multi-modal data effectively.
• Excellent interpersonal skills, including a positive and professional orientation towards faculty, staff, university officials, partner organizations, and other stakeholders.

The stipend for Postdoctoral Fellows is competitive and aligned with the number of full years of relevant postdoctoral experience. Relevant experience may include research, teaching, clinical duties, internships, or other work in a health-related field beyond the qualifying doctoral degree. Stipend levels are determined to meet or exceed the current NIH Stipend Levels listed on the website. Postdoctoral Fellows at the University of Maryland also receive a comprehensive benefits package that includes 10 days of annual leave, 15 days of sick leave, 3 personal days, all university-recognized holidays, and may also qualify for additional leave options.

For immediate consideration, please send a cover letter and a recent CV, including names and contact information of three references, to https://umb.taleo.net/careersection/jobdetail.ftl?job=2500018O&lang=en

To apply for this position or to seek additional information, please contact Dr. Chen at [e-mail]

For additional questions after application, please email at [e-mail]

UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.