Call for Immuno-Informatics Postdoctoral Fellowship Program

Deadline: 01-Mar-2027

The CRI Immuno-Informatics Postdoctoral Fellowship supports early-career scientists developing expertise at the intersection of cancer immunology, immunology, computational biology, data science, and genomics. The three-year fellowship is designed to train researchers who can combine biological and quantitative approaches to advance the discovery and development of cancer immunotherapies. The fellowship provides annual stipends of $74,000, $76,000, and $78,000 over three years, plus a $5,000 annual institutional allowance. There are no citizenship restrictions, and eligible fellows can conduct their research in the United States or abroad. The programme was established to develop a new generation of scientists with dual expertise in immunology and data science. Cancer immunotherapy increasingly relies on computational approaches to analyze complex biological data, understand immune responses, identify therapeutic targets, and develop new treatment strategies. The fellowship supports researchers who can bridge these scientific disciplines.

Its objectives include:

Developing expertise in immunology and computational science. Advancing cancer immunotherapy research. Supporting innovative computational approaches to biological questions. Understanding the role of the immune system in cancer. Identifying gaps in cancer immunology. Encouraging collaboration between biological and quantitative sciences. Training researchers to apply data-driven approaches to cancer research. The fellowship is designed for early-career researchers from a range of scientific backgrounds.

Potential applicants include:

Computational biologists seeking deeper training in immunology. Cancer immunologists seeking expertise in computational biology. Cancer researchers developing skills in data science. Researchers pursuing expertise in genomics. Scientists from diverse PhD backgrounds working at the intersection of cancer immunology and computational biology. Applicants must have a doctoral degree by the date the award is activated. There are no citizenship restrictions.

The fellowship can be undertaken:

In the United States, or At an eligible institution abroad. Applicants should have less than five years of mentored research experience at the time the fellowship is activated. Time spent in M.D. residency is excluded from this calculation. Applicants should therefore carefully calculate their qualifying mentored research experience before applying. Fellows must conduct their research under an eligible sponsor.

The sponsor must:

Have a formal appointment as an assistant professor or higher. Be based at a non-profit institution. Provide the appropriate research environment and supervision for the proposed fellowship. Only one fellow per sponsor may apply in each application round. Researchers should coordinate with their proposed sponsor before submitting an application. The proposed research must be directly connected to immunology or cancer immunology and relevant to addressing the cancer problem.

Eligible projects must be:

Hypothesis-driven. Focused on basic or translational cancer immunology. Relevant to understanding the immune system’s role in cancer. Based on innovative technologies or computational methods. Designed to address a clearly identified gap in cancer immunology. A strong proposal should explain both the biological question and the computational or quantitative approach being used to investigate it. The fellowship sits at the intersection of several research disciplines.

Relevant areas can include:

Cancer immunology. Immunology. Computational biology. Bioinformatics. Data science. Genomics. Computational genomics. Immune-system biology. Translational cancer research. Cancer immunotherapy. The central requirement is that the proposed work meaningfully combines or connects computational approaches with cancer immunology. A competitive research proposal should establish a clear scientific rationale.

The proposal should explain:

What important cancer immunology question is being investigated. What is currently known about the problem. What critical knowledge gap remains. Why the gap matters for understanding cancer. What hypothesis will be tested. What computational or technological methods will be used. How the methods will generate new biological insight. How the project could contribute to cancer immunotherapy research. The computational component should be more than simply applying standard data analysis. Applicants should clearly explain how innovative computational approaches or technologies contribute to solving the biological problem. The fellowship provides three years of support.

The annual stipend is:

Year 1: $74,000.

Year 2: $76,000.

Year 3: $78,000.

In addition, fellows receive a $5,000 annual institutional allowance. The institutional allowance can be used for eligible expenses such as: Research supplies. Conference travel. Health insurance. Childcare. Administrative overhead or indirect costs cannot be deducted from either the fellowship stipend or institutional allowance. The fellowship includes dedicated support for fellows to participate in the CRI Bioinformatics Bootcamp. The bootcamp provides an additional training opportunity for researchers developing computational and bioinformatics expertise relevant to cancer immunology. This training complements the fellowship’s broader goal of developing scientists who can work across biological and quantitative disciplines. The programme combines financial support with interdisciplinary research training.

A successful fellow:

Conducts a hypothesis-driven cancer immunology project. Works under an eligible academic sponsor. Develops expertise in computational and quantitative methods. Applies innovative technologies or computational approaches. Addresses a defined gap in cancer immunology.

Participates in relevant training opportunities

Receives financial support for three years. The fellowship can be conducted at an eligibl