1

Computational Spatial Transcriptomics Jobs in Colorado

Postdoctoral Fellow/Trainee

Aurora, CO · On-site

$49.80K - $67.60K/yr

Experience with primary cell culture, xenograft models, brain tumor biology, confocal imaging, immunofluorescence and/or FISH and/or computational analysis of scRNAseq/RNAseq/spatial transcriptomics

Computational Spatial Transcriptomics information

What are the key skills and qualifications needed to thrive as a Computational Spatial Transcriptomics Scientist, and why are they important?

To excel in Computational Spatial Transcriptomics, you need a strong background in bioinformatics, genomics, and statistical data analysis, typically supported by advanced degrees in computational biology or related fields. Familiarity with programming languages (such as R and Python), spatial transcriptomics platforms (like 10x Genomics Visium), and high-throughput sequencing data analysis tools is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with multidisciplinary teams. These competencies ensure accurate data interpretation, innovative research, and successful integration of spatial transcriptomics insights into biological and clinical applications.

What are some typical challenges faced when working in computational spatial transcriptomics, and how can new team members prepare for them?

Professionals in computational spatial transcriptomics often encounter challenges related to handling and analyzing large, complex datasets that combine spatial and gene expression information. Integrating data from different technologies and ensuring data quality can be demanding, requiring strong programming skills and familiarity with bioinformatics pipelines. New team members can prepare by strengthening their skills in statistical analysis, programming languages like Python or R, and staying updated on the latest spatial transcriptomics techniques. Collaborating closely with experimental biologists and data scientists is also key to overcoming these challenges and driving successful research outcomes.

What is computational spatial transcriptomics?

Computational spatial transcriptomics is a field that combines advanced computational methods with spatial transcriptomics, a technique that measures gene expression within the physical context of tissue samples. It involves processing and analyzing large datasets to map where specific genes are active within tissues, helping researchers understand how cells interact and function in their native environments. This approach is crucial for studies in developmental biology, cancer research, and neuroscience, as it provides insights into cellular organization and tissue architecture. Computational tools help extract meaningful patterns from complex data, enabling discoveries that were previously impossible with traditional methods.

What is the difference between Computational Spatial Transcriptomics vs Computational Biologist?

AspectComputational Spatial TranscriptomicsComputational Biologist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysisTypically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on spatial genomicsResearch institutions, biotech firms, academia working on biological data analysis
Industry UsageSpecialized in spatial transcriptomics techniques and data interpretationBroad biological data analysis across various fields

Computational Spatial Transcriptomics focuses on analyzing spatial gene expression data within tissues, requiring specialized skills in spatial data processing. In contrast, Computational Biologists work on a wider range of biological data types. While both roles involve bioinformatics expertise, the former emphasizes spatial data analysis techniques specific to transcriptomics.

What are popular job titles related to Computational Spatial Transcriptomics jobs in Colorado? For Computational Spatial Transcriptomics jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Computational Spatial Transcriptomics jobs? Cities in Colorado with the most Computational Spatial Transcriptomics job openings:
Postdoctoral Fellow/Trainee

$49.80K - $67.60K/yr

Full-time

Posted 14 days ago


University Of Colorado rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

146th of 529 rated colleges and universities


Job description

University of Colorado Anschutz

Department: Neurosurgery 

Job Title: Postdoctoral Fellow/Trainee

Position #00845975 - Requisition #39324

Job Summary:

The Janiszewska lab dissects the ecosystem of aggressive brain tumors to identify novel vulnerabilities of these incurable tumors. The lab employs a variety of techniques, including confocal microscopy, spatial transcriptomics and in vitro and in vivo models to study brain tumor cell-cell interactions and the organization of the cancer ecosystem. We strive for highly collaborative and inclusive lab environment. Trainees will have ample opportunities to interact with researchers in the department, across our campus and with external collaborators.

One of the major challenges contributing to poor survival of patients with brain tumors is the intratumor heterogeneity. Cancer cells with different properties, including different sensitivity to treatment, often co-exist within a tumor, leading to relapse and disease progression. Our goal is to understand the dynamics of intratumor heterogeneity and its functional implications in disease progression in highly aggressive brain tumors. We believe that understanding the interactions between subclonal populations of cancer cells as well as interactions between cancer cells and tumor microenvironment cells holds a key to uncovering more effective treatments for brain tumor patients.

This is an exciting opportunity to contribute to research aiming to improve dismal prognosis for brain tumor patients.

Duration 

Minimum of 2 years with advancement to the second-year dependent upon satisfactory progress during the first year.  The appointment may be extended over 2 years, contingent on funding and satisfactory performance.

Key Responsibilities:

The postdoctoral fellow will be responsible for characterizing in vivo and in vitro cell-cell interactions to model heterogenous brain tumors and assess their response to various stimuli. This includes designing and conducting experiments, data analysis, manuscript preparation, conference presentations and applying for fellowships/grants.

Work Location:

Onsite - this role is expected to work onsite and is located in Aurora, Colorado.

Why Join Us:

The Department of Neurosurgery is a highly collaborative unit, with faculty excelling in clinical care, research, education and innovation, working together to advance the fields of neuro-oncology and neuromodulation. The crosstalk between clinical and basic research allows scientists to work on projects with high translational potential. Access to state-of-the-art facilities and equipment, as well as shared Core Facilities across the CU Anschutz Medical Campus enable performance of cutting-edge science. The Department's strong commitment to education provides multiple opportunities for career and skill development for staff, residents and fellows. The interdisciplinary collaborations fostered within the Cancer Center and across the broad community of University of Colorado provide a vibrant environment to train in neuro-oncology and neuroscience.

Why work for the University?

The University of Colorado offers a comprehensive benefits package. To see what benefits are available for Post-Doctoral Fellows, please visit:

  • Payroll & Benefits Orientation for Post-Doctoral Fellows | University of Colorado (cu.edu)

  • benefits guide cover-post-doc-2024 (cu.edu)

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

  • Graduation from an accredited college or university with a PhD/MD in one of these fields of Cancer Biology, Neuroscienceor a related field.

  • Minimum of 2 years' experience in cell culture, in vivo work, confocal microscopy or computational analysis of RNAseq in R/Python.

Preferred Qualifications:

  • Experience with primary cell culture, xenograft models, brain tumor biology, confocal imaging, immunofluorescence and/or FISH and/or computational analysis of scRNAseq/RNAseq/spatial transcriptomics

  • Background in brain tumor biology

Knowledge, Skills and Abilities:

  • Excellent written and verbal communication skills

  • Proven ability to work independently and with a team

  • Demonstrated proficiency with molecular/cell biology techniques

How to Apply:

For full consideration, please submit the following document(s):

1.     A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position

2.     Curriculum vitae / Resume

3.     Five professional references including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: Sarah Williams - sarah.williams@cuanschutz.edu

Screening of Applications Begins:


This position may be seeking multiple candidates. Positions will remain open until filled. Applications will be reviewed as they are received, and candidates may be contacted for interviews throughout the posting period. Upon candidate(s) selection, the posting will be closed, and no further applications will be accepted.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as HIRING RANGE:

$62,232-$75,564

The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.

Total Compensation Calculator: http://www.cu.edu/node/153125

Equal Employment Opportunity Statement:

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.

Background Check Statement:

The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

Vaccination Statement:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.


What University Of Colorado employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom