Careers
New openings are coming soon!
UNM Students interested in Postdocs, PhD, UG research at UNM Avi Lab please directly reach out to Avi Sahu at asahu@salud.unm.edu
Tumor-Microenvironment & AI (TumorAI) lab (AviSahuAI.com) at UNM Comprehensive Cancer Center seeks two postdoctoral researchers in AI and computational biology to join our interdisciplinary team. The lab focuses on improving cancer treatments by developing novel diagnostic methods and utilizing AI and statistical approaches. Our team is dedicated to developing computational approaches for drugs and gene targets by interfacing immuno-oncology with AI/statistical approaches.
Compensation: We offer a minimum starting salary of $70,000+, commensurate with computation skillset and experience. Albuquerque’s cost of living is low (e.g. 45% lower than NYC).
Our lab is against “cheap labor” and unjustified low salaries for postdocs. We believe in postdocs for their talent, professional, and technical skills (ref go.nature.com/3YS5P52).
Postdoctoral researchers will develop independent research projects aligning with our mission and contribute to ongoing projects in developing computational approaches for: 1) personalized approaches for targeting tumor heterogeneity, 2) new immunotherapeutic targets and agents by targeting tumor immune microenvironment, and 3) statistical analysis of single cell data. We offer interdisciplinary mentorship in oncology and immunology from Cancer Center researchers, and in AI and statistic from leaders from Harvard. Our lab has extensive expertise in obtaining Young investigator grants from NIH, Foundations, and Pharma and Tech companies, as well as UNMCCC is a leader in this part of the country with a track record junior researchers obtaining NCI grants. Postdoc researchers will be trained and encouraged to apply for grants and fellowships (e.g. Michelson Prize, NIH K, Burroughs Welcome Foundation ) to advancing their careers.
Key Responsibilities:
- Learning and developing AI and statistical approaches for cancer research.
- Analyzing clinical and genomic data.
- Contributing to research publications and grants. Learn and apply for career development grants.
- Attending relevant workshops to develop computational biology, bioinformatics, and computational immunology skills.
Requirements:
- PhD in computer science, engineering, physics, data sciences, or a related field OR PhD life sciences, biology, immunology, or a related field with computational training.
- Applicants are required to have prior computational training and experience in R or Python.
- Excellent verbal and written communication skills.
- Ability to work independently and as part of a team.
To apply, please send your CV and a 1-page research interest in TumorAI lab to Avi Sahu at asahu@salud.unm.edu. Let’s make a difference together, join us in mission to fight cancer through AI. Visit AviSahuAI.com for more job opportunities.
Exciting Opportunity to Make a Difference in Cancer Research!
The Avi Sahu Lab at the UNM Cancer Center is seeking a driven and enthusiastic Data Analyst Technician to join our cutting-edge team. As a member of our interdisciplinary group, you will have the chance to work on developing innovative diagnostic methods and utilizing artificial intelligence to improve cancer treatments.
This is an excellent opportunity for students, who are looking to expand their knowledge and skills in AI/statistical approaches and contribute to the development of new cancer therapies. With the possibility of working with renowned researchers, Drs. Jun Liu and Keith Flaherty at Harvard, you will have the chance to grow and learn from the best in the field.
Key Responsibilities:
- Collaborating with team members to understand clinical and genomic data produced
- Applying existing and novel algorithms to data
- Participating in scientific writing and data figure creation for research publications
- Attending trainings and workshops to further develop your skills in computational biology, bioinformatics, and computational immunology.
Requirements:
- Bachelor’s or Master’s degree in computer science, engineering, physics, data sciences, or life sciences (biology, immunology, etc.)
- Basics experience in computational data analysis (e.g. R, Python).
- Verbal and written communication skills.
- Ability to work independently and as part of a team.
Be a part of something big! Submit your CV and a brief research interest to Avi Sahu (asahu@salud.unm.edu) and become a part of the Avi Sahu Lab. Join us in our mission to fight cancer through AI.
Join our team at the Avi Sahu Lab at UNM Cancer Center as an Undergraduate Technician and contribute to our goal of improving the understanding and treatment of cancer through computer intelligence. Work alongside our statistical and oncology experts from UNM and Harvard to develop cutting-edge AI and statistical approaches. This is an excellent opportunity for students looking to expand their knowledge and skills in computational research.
Responsibilities:
- Collaborate with team members to analyze clinical and genomic data
- Learn single cell data analysis
- Learn and develop AI and statistical approaches
Requirements:
- Pursuing a degree in computer science, engineering, biochemistry, chemistry, or math major
- Knowledge of R or Python for computational data analysis
- Minimum cumulative GPA of 3.0/4.0
- Able to work a minimum of 10 hours per week
To apply, submit your CV to Avi Sahu at asahu@salud.unm.edu.
About Avinash Sahu, PhD
See Dr. Sahu's publications on Google Scholar
Dr. Avinash "Avi" Sahu is a multidisciplinary researcher and Assistant Professor in the Division of Translational Informatics, Department of Internal Medicine, at the University of New Mexico. With over 13 years of research experience, he holds a PhD in Computer Science from the University of Maryland and National Institute of Human Genome Research Institute. He completed his postdoctoral training at Harvard and Dana Farber Cancer Institute, where he developed a cutting-edge research program.
Avi's work is situated at the intersection of data science, machine learning, cancer immunology, and precision oncology. He is dedicated to developing artificial intelligence (AI) methods to identify novel therapeutic strategies for advanced cancers. His critical discoveries include the identification of bipotent drugs, AI techniques in predicting patient responses to immunotherapy, and the discovery of synthetic rescue mediators of resistance to targeted and immunotherapy (Cancer Discov (2023) 13 (3): 672–701; Mol Systems Biology (2019) 15(3): e8323; Nat Commun (2015) 6:8555), Nat Commun (2019))
His expertise has earned him several prestigious awards, such as the Michelson Prize by the Human Vaccines Project, the K99 Young Investigator Award from the National Cancer Institute, and recognition as one of the 40 most promising young Cancer Immunology scientists by the Irving Foundation. He is leading the development of an AI-based precision oncology predictor to determine shared vulnerabilities across tumor clones for each ovarian cancer patient.
Dr. Sahu collaborates with leading academic labs and pharmaceutical companies to develop new treatments for advanced cancer patients. He is also passionate about mentoring young students, particularly those from challenging backgrounds, believing that dedication, hard work, and passion can help anyone overcome adversity and achieve great things.