Data Scientist I, Surgery

UT Southwestern Medical Center • Dallas, TX

2d

About The Position

Works under specific direction to provide analysis and develops algorithms and software for clinical and/or basic research problems. Impacts data acquisition, management, and analysis in basic, translational, and clinical research, including clinical trials. The Tower lab integrates multi-omics-based approaches in the fields of musculoskeletal development, homeostasis, repair and regeneration headed by Dr. Robert Tower, PhD, an Assistant Professor in the Department of Surgery at UTSW. The lab uses transgenic animal models, combined with bioinformatic approaches to understand the mesenchymal-immune cell interactions which occur within the stem cell niche under physiological conditions, and how these signaling cascades drive regenerative or fibrotic outcomes following injury. Understanding these divergent signaling mechanisms will hopefully help guide future therapeutic strategies to promote faithful repair of damaged tissue. The Data Scientist I will conduct bioinformatic analyses to support ongoing projects in the lab related to heterotopic ossification, fracture, tumor invasion and regeneration. The candidate should be proficient in R/Python and have a knowledge of single cell RNA sequencing analysis using standard packages (Seurat, Monocle, etc). Preference will be given to applicants with experience working with spatial transcriptomics data such as Visium and Xenium. Future work may also be responsible for leading their own bioinformatic studies under the guidance of Dr. Tower and in collaboration with the lab’s bench and animal research teams.

Requirements

• The ability to analyze/evaluate data and make appropriate decisions/recommendations.
• The ability to communicate technical information to clinicians and biomedical researchers.
• The ability to identify and clarify individual responsibilities and objectives within the framework of the common goal.
• Excellent communications and interpersonal skills with a high degree of professionalism and competence in dealing with a variety of individuals.
• Master's Degree M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or
• Bachelor's Degree B.S. with demonstrated experience in broadly defined areas of bioinformatics
• 2 years of post-graduation experience in data analysis and/or scientific software development for a Bachelor‿s degree

Nice To Haves

• Preference will be given to applicants with experience working with spatial transcriptomics data such as Visium and Xenium.

Responsibilities

• Support ongoing projects through the analysis of single cell RNA sequencing datasets. This will range from basic UMAP construction and clustering to more advanced cell-cell communication analyses
• Develop and conduct analytical techniques for the analyses of spatial transcriptomic data both within the lab and through the PIs collaborative network
• Integrate new packages into the labs analytical pipeline.
• Performs other duties as assigned.
• Analyzes and develops formalisms, algorithms and software for applications in biomedical research.
• Develops and maintains software tools and infrastructure for resolving specific problems.
• Assists in the development, testing and revision of programs in a team with diverse bioinformatics expertise.

Benefits

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100%25 coverage for preventive healthcare-no copay
• Paid Time Off, available day one
• Retirement Programs through the Teacher Retirement System of Texas (TRS)
• Paid Parental Leave Benefit
• Wellness programs
• Tuition Reimbursement
• Public Service Loan Forgiveness (PSLF) Qualified Employer

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees