Applied Machine Learning Postdoctoral Fellow

CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc.; United States; On-site; USD 73,000 - 102,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Paid time off

Retirement plan

Parental leave

Job summary

Moffitt Cancer Center and Research Institute, Inc. in Tampa, FL is hiring a Postdoctoral Fellow to advance machine learning and molecular data science in cancer research. The role focuses on representation learning, foundation models, and predictive modeling using large-scale molecular datasets.

Ideal candidates hold a PhD in a quantitative discipline, with strong Python and PyTorch skills, and a track record in ML/AI research related to cancer, biology, or healthcare data.

Qualifications

• PhD in a quantitative field such as CS, engineering, math, or bioinformatics.
• Strong publication record and research experience in ML/AI.
• Experience with scientific programming and ML frameworks.

Responsibilities

• Develop novel ML models for molecular and multi-omics data analysis.
• Create scalable data integration and feature representations pipelines.
• Collaborate with researchers and clinicians on translational cancer research projects.
• Present findings at scientific meetings and contribute to manuscripts and grants.

Skills

Machine learning

Python

PyTorch

Education

PhD or equivalent

Tools

Python

PyTorch

Job description

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times’ Top Workplaces.

Dr. Ghulam Rasool seeks to hire a Postdoctoral Fellow to join his lab in the general area of machine learning, artificial intelligence, and molecular data science.

Modern cancer research generates large-scale molecular datasets that may include genomic, transcriptomic, proteomic, epigenomic, and other molecular profiling data, as well as associated clinical and outcome information.

Extracting meaningful biological and clinical insights from these high-dimensional and heterogeneous datasets remains a fundamental challenge in cancer research.

This project will focus on developing advanced machine learning approaches for molecular representation learning, foundation models, predictive modeling, and biomedical discovery using large-scale molecular and related biomedical datasets.

Research activities may involve self-supervised learning, transformer-based architectures, graph-based methods, generative models, and other emerging AI techniques for the analysis of molecular and multimodal biomedical data.

Position Highlights

• The position offers a unique opportunity to work in a world-class research environment with state-of-the-art computational resources and strong collaborations with researchers and clinicians across multiple disciplines.
• Opportunities to develop novel machine learning and artificial intelligence methods for analyzing large-scale molecular, clinical, and biomedical datasets.
• Opportunity to contribute to cutting-edge research in representation learning, foundation models, multimodal AI, and predictive modeling for cancer research and precision medicine.
• Access to diverse biomedical data resources, including molecular profiling data and other clinical and research datasets, enabling the exploration of challenging and impactful scientific problems.
• Moffitt integrates outstanding patient care with cutting-edge clinical, translational, and basic science research. Having a comprehensive cancer center and hospital on-site provides unique opportunities for high-impact translational research.
• Outstanding mentorship from expert faculty with diverse funded research programs spanning machine learning, computational biology, cancer research, and biomedical data science.
• Opportunities to publish in leading scientific venues, collaborate across disciplines, and participate in the development of competitive fellowship and grant applications.

The Ideal Candidate

Background in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Statistics, Physics, Data Science, Computational Biology, Bioinformatics, or a related quantitative discipline.

Strong computing, programming, and analytical skills, preferably in Python and modern machine learning frameworks such as PyTorch.

Experience with machine learning, deep learning, artificial intelligence, data mining, statistical modeling, or related computational methods.

Interest in developing and applying advanced AI methods to large-scale molecular, genomic, clinical, or other biomedical datasets.

Familiarity with representation learning, foundation models, transformer architectures, graph-based methods, self-supervised learning, or related machine learning techniques is desirable.

Experience working with cancer, biological, molecular, or other real-world healthcare datasets is required.

Strong written and verbal communication skills, with an interest in interdisciplinary and collaborative research.

Responsibilities

• Develop novel machine learning models for molecular and multi-omics data analysis, representation learning, and predictive modeling.
• Develop methods for learning robust patient and molecular representations from large-scale genomic, transcriptomic, and other molecular profiling datasets.
• Design and implement scalable pipelines for molecular data integration, feature representation, and downstream machine learning applications.
• Investigate and apply advanced AI approaches, including foundation models, self-supervised learning, transformer architectures, graph-based methods, and other emerging machine learning techniques.
• Collaborate with researchers, clinicians, and data scientists on translational cancer research projects, scientific publications, and grant development.
• Present research findings at scientific meetings and contribute to the preparation of manuscripts, reports, and funding applications.

Credentials and Qualifications

PhD or equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, Biomedical Engineering, Mathematics, Statistics, Physics, Data Science, Bioinformatics, Computational Biology, or a related quantitative discipline.

Demonstrated research experience in machine learning, artificial intelligence, data science, computational biology, bioinformatics, or related fields.

Strong publication record commensurate with career stage, including at least one first-author peer-reviewed publication, preprint, or equivalent research contribution.

Experience with scientific programming and machine learning frameworks.

Excellent written and verbal communication skills and the ability to work effectively in a collaborative, interdisciplinary research environment.

Benefits

• Moffitt Postdocs enjoy comprehensive medical coverage, with Moffitt covering the premium effective your very first day.
• In addition to this valuable benefit, you'll also be eligible for dental and vision insurance, generous paid time off, retirement, parental leave, and much more.

Salary

Salary Range $72,639.00 - $101,694.60 Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions. We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce.

Location

Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.

Equal Employment Opportunity

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.

Reasonable Accommodation

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Application

If you have the vision, passion, and dedication to contribute to our mission, then we have a place for you.