- Organizational Skills
- Machine Learning
Assistant Research Scientist
Texas A&M University Health Science Center
Ibt Center For Translational Cancer Research
Proposed Minimum Salary
What we believe
Texas A&M University is committed to enriching the learning and working environment for all visitors, students, faculty, and staff by promoting a culture that embraces inclusion, diversity, equity, and accountability. Diverse perspectives, talents and identities are vital to accomplishing our mission and living our core values .”
Who we are
As one of the fastest-growing academic health centers in the nation, the Texas A&M University Health Science Center encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research and team-based health care delivery.
What we want
The Health Science Center (HSC) is looking for an Assistant Research Scientist to serve as a member of the laboratory team in the Center for Translational Cancer Research . We desire an individual who subscribes to and supports our commitment as stated above. The successful applicant will bring their experience to the position and understand the demands of supporting executives in a fast-paced environment. This person must be professional, enjoy working in a high-volume environment and be able to apply strong organizational skills while being flexible in their daily routine. If this is you, we invite you to apply to become a member of our team.
Required Education and Experience:
Appropriate doctoral degree
Required Special Knowledge, Skills, and Abilities:
Ability to multi-task and work cooperatively with others.
Preferred Special Knowledge, Skills, and Abilities:
Demonstrated ability to carry out independent research in an area related to cancer and immune disease.
Highly motivated, strong interpersonal skills.
Experience with metal complex synthesis, protein engineering and quantitative assays.
Preferred Education and Experience:
Experience in quantitative science in one or more of the following fields: image analysis (high content microscopy, cell imaging, histopathology, quantitative radiology}, Bioinformatics (genomics or multiomics integration).
Experience with data wrangling and exploratory statistical analysis (PCA/MDS/SNE/UMAP, clustering, and supervised machine learning techniques) is strongly preferred.
Experience working with diverse individuals and communities.
Performing imaging-based analysis projects as part of a biological research team. Discuss analytic strategies and implement the appropriate methods.
Write programs in image analysis software (one or more of Pipeline Pilot, Cell Profiler, MATLAB, Fiji/lmageJ, Python, R, etc.). Rigorous documentation of analysis procedures is essential.
Collect and compile imaging data. Data wrangling for image analyses.
Perform image analyses (high content microscopy, cell imaging, histopathology) and as needed bioinformatics data integration with genomics data.
Interact closely with CAMII experimental team and collaborators.
Troubleshoot problematic results.
Performs other duties as assigned.
Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.