Job Description

Applications are sought for the position of Postdoctoral Research Fellow to work under the supervision of Dr. Alexander R. A. Anderson on an exciting inter-disciplinary research project focused on evolutionary therapy. We seek a talented individual with a PhD and background in applied mathematics, physics or other computational discipline to work in the unique research environment of the Integrated Mathematical Oncology (IMO) Department. IMO integrates mathematicians, computer scientists, and physicists together with evolutionary biologists as well as clinical and experimental oncologists to develop novel approaches for the treatment and understanding of cancer.
Further details on the type of research being carried out in the Anderson lab can be found Here.

Position Highlights:
• The successful fellow will have the opportunity to directly interact with the greater CSBC community, since this project is part of the NCI Cancer Systems Biology Consortium (CSBC).
• Clinical data driven project with an opportunity to work closely with Melanoma and Lung Oncologists .
• Using biomarkers of tumor burden (ctDNA, Imaging) to drive mathematical models that directly support clinical treatment decisions in a patient specific manner.

The Ideal Candidate:
• experience in modelling biological systems, with a preference for those with knowledge of cancer.
• demonstrated creativity, high motivation, good communication skills and importantly, experience in developing/ writing publications in quality peer reviewed scientific journals.
• They should possess the ability to work independently and within the research group.
• Preference will be given to candidates with the ability to program (C/C++/Java/Python), visualize and analyze data.

Responsibilities:
• Communicate clearly and openly, present research results on local and national platforms.
• Perform independent research.
• Meet with team leader and members frequently.
• Build relationships across research disciplines to promote a collaborative research environment.

Credentials and Qualifications:
• MD or PhD in applied mathematics, physics, or a computational discipline.

The IMO is housed within the H. Lee Moffitt Comprehensive Cancer Center which is a modern facility on the University of South Florida Campus that conducts research on various aspects of Cancer Biology with emphasis on translational research. Research environment includes state of the art modern core facilities and access to experimental and clinical data.

Moffitt Postdocs are provided free employee-only Medical and eligible for Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. With a move to Tampa, you may be eligible for relocation allowance per policy. Reason to relocate, aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city with unique cultural attractions, low cost of living and a high quality of life. We strive for work/life balance.

Please send CV and cover letter directly to [email protected] in addition to applying online.


Equal Employment Opportunity
Moffitt is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. Moffitt seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.


Mission To create a Moffitt culture of diversity and inclusion as we strive to contribute to the prevention and cure of cancer. Vision Moffitt Cancer Center is recognized as the model wherein the diversity of our employees and communities is valued and supported as essential components to contributing to the prevention and cure of cancer. The cancer center is an equal opportunity employer. It is the policy of the cancer center to prohibit unlawful discrimination and harassment of any type and to afford equal employment opportunities to workforce members and applicants, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, veteran’s status or any other characteristic protected by federal, state or local law.