Post-Doctoral Fellow

University of Colorado Anschutz

Department:
Department of Biomedical Informatics

Job Title:

Postdoctoral Fellow

Position #:

- Requisition #:39971

Job Summary:

The Pividori Lab (pivlab.org; PI: Dr. Milton Pividori) designs and implements machine-learning methods that are applied to human disease with a systems biology perspective. The lab's goal is to advance precision medicine by developing a comprehensive, multi-omics approach to enhance our molecular understanding of complex diseases and their therapeutic modalities. As a computational research laboratory, we collaborate with experts in different disease domains to translate our findings to the clinic.

Our group deeply cares about open science, and we use the latest software development technologies that enable reproducible research and easy adoption of our tools.

This full-time (1.0 FTE) Postdoctoral Fellow position is funded through an NIH INCLUDE (INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndrom

E) R01 grant, in collaboration with Dr. James Costello (Department of Pharmacology) and Dr. Casey Greene in the Department of Biomedical Informatics. The position will be primarily appointed in the Pividori Lab and will work jointly with the Costello and Greene labs to develop novel computational, statistical, and machine learning methods to integrate diverse multi-omics datasets and disentangle the link between the triplication of chromosome 21 and the variable spectrum of co-occurring conditions that arise in Down syndrome.

We are seeking candidates with a strong background in the design and implementation of novel machine learning models and their application in biomedical research.

Experience with multi-omics data analysis, statistical/computational methods development, and disease-focused research are highly desirable. Individuals from diverse backgrounds are strongly encouraged to apply.

Key Responsibilities:

* Research:

* Design and planning of research projects and literature review.

* Design innovative machine learning and statistical models to analyze and integrate large multi-omics datasets (such as genomics, transcriptomics, proteomics, prior knowledge/pathways, drug data) to extract testable biological hypotheses about Down syndrome and its co-occurring conditions.

* Apply these methods to disentangle the link between the triplication of chromosome 21 and the molecular mechanisms driving co-occurring conditions in Down syndrome.

* Develop collaborative research projects with the team of faculty, postdocs, and graduate students across the Pividori, Costello, and Greene labs.

* Write software and analytical workflows to carry out specific experiments.

* Analyze and interpret research results.

* Maintain effective communication with the PI, other team members, and local and international collaborators.

* Keep an organized record of research experiments and results on Git Hub.

* Write Python/R packages that are easy to install and use.

* Communication:

* Present research in progress at lab meetings, project meetings, and one-to-one meetings with the PI.

* Prepare manuscripts for publication in scientific journals and blog posts for non-experts.

* Submit abstracts and present results at local and (inter) national conferences.

* Actively pursue fellowship awards and assist the PI in grant writing.

* Mentoring and

Collaboration:

* Mentor and train graduate and undergraduate students in the group and across the collaborating labs.

* Actively pursue computational, experimental, and clinical collaborations.

* Career development:

* Attend career development seminars and networking events.

* Complete an Individualized Development Plan (IDP) to be discussed with the PI annually.

Work Location:

Hybrid - this role is eligible for a hybrid schedule of #3 days per week on campus and as needed for in-person meetings.

Why Join Us:

The Department of Biomedical Informatics (DBMI), located in the magnificent new Health Science building with a fabulous view of the Rocky Mountains, provides a fantastic environment for trainees to thrive and pursue their career goals. DBMI has a dedicated team for Grants Development and Scientific Writing, and a Software Engineering Team that can provide invaluable feedback to improve the quality of your code and your programming skills.

This position is highly collaborative: the postdoctoral fellow will gain training experience by working across three groups - the Pividori, Costello, and Greene labs - which together provide expertise in machine learning, computational biology, statistical genetics, and multi-omics integration. The position will also have opportunities to engage with the Linda Crnic Institute for Down Syndrome at CU Anschutz, a leader in Down syndrome research internationally.

With over 100 researchers supported through the Crnic Institute, CU Anschutz is an active and engaging research environment for Down syndrome research.

The PI is committed to providing personalized support according to the candidate's research and…