Research Software Engineer

CO2000 H. Lee Moffitt Cancer Center and Research Institute, Inc.; United States; Presencial; USD 110.000 - 150.000; Jornada completa

Descripción de la vacante

Moffitt Cancer Center in Tampa, FL invites applications for a Machine Learning Engineer to advance cancer research through software tools and data science methods. Join the Goecks Laboratory within the Dept.

of Machine Learning and Biostatistics & Bioinformatics to build scalable analytics platforms. Ideal candidates combine strong Python expertise, ML/DL experience, and a collaborative mindset to contribute to cloud-based and on-premises infrastructures that support precision oncology and

Formación

• Bachelor’s degree in a relevant field and software development experience.
• Experience with open-source software libraries for ML and deep learning.
• Proficiency in Python and knowledge of other languages (R, Perl, C#, Java).

Responsabilidades

• Develop informatics software and analysis tools for machine learning analyses of genomic, clinical, and imaging datasets. (30%)
• Provide documentation and user support enabling computational researchers to access and use informatics software. (25%)
• Maintain well‑curated, highly structured data resources and databases suitable for machine learning. (20%)
• Develop software tools to integrate bioinformatics and machine learning software with data resources. (20%)
• Establish and maintain standards for structured software engineering and project management. (5%)

Conocimientos

Python

Machine Learning

Deep Learning

Software Development

Cloud Computing

Data Analysis

CI/CD

Web-based Software

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Galaxy

NHGRI AnVIL

Git

Docker

Kubernetes

SQL

Descripción del empleo

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.

The Machine Learning Engineer provides an array of services to support the Department of Machine Learning and its Principal Investigators’ research portfolio. High level responsibilities include but are not limited to:

• Administering computing infrastructure and manages databases
• Developing professional level software tools for machine/ deep learning applications for cancer research
• Participating in the planning, implementation and conduct of software tool in collaboration with team members.
• Interacting closely with Investigators and their collaborators in consortium settings.
• Training new staff and serves as a resource to other projects involving software development within the department.
• Maintaining computer skills, and acquires new ones as necessary.
• Maintaining independence: a limited degree of supervision is required for the analysis of data and documentation of results.
• Maintaining QA program of software tools, which includes: maintaining familiarity with cutting edge machine learning software and informatics tools.

We are looking for a motivated individual to develop open‑source software for biomedical data science that will be used at the Moffitt Cancer Center and around the world. Key projects that this individual will contribute to include Galaxy (https://galaxyproject.org/), the NHGRI AnVIL (https://anvilproject.org/) data commons, and efforts to integrate internal Moffitt informatics platforms. An ideal fit for this position is an individual who is excited about developing great software for biomedicine, enjoys learning new technical skills, and excels in a collaborative environment.

This position is part of the Goecks Laboratory (https://goeckslab.org/), which is in the Departments of Machine Learning and Biostatistics and Bioinformatics at the Moffitt Cancer Center. The Goecks Laboratory develops data science methods and software tools to advance cancer research and patient care. Our areas of technical focus are computational infrastructure, cloud computing, and machine learning. Our areas of cancer research include precision oncology and spatial tumor analyses.

Position Highlights:

• Contribute to software that will be used at Moffitt and across the world to help advance biomedical research.
• Opportunity to developing technical leadership skills by architecting and executing software development projects.
• Learn new technical skills in important topics such as machine learning, cloud computing, distributed computing, and data engineering.
• Work in a dynamic environment and collaborate with software engineers, data scientists, cancer biology researchers, and physicians.

The Ideal Candidate:

• Expertise in the following areas: (1) software development; (2) analysis pipeline development; and (3) machine learning analyses. Expertise using software development and analysis skills in a scientific discipline is preferred.
• Experience using open-source software libraries for traditional machine learning and deep learning. Experience using commercial machine learning libraries, experiment tracking software, visualization and reporting software, and scaling libraries is preferred.
• Strong knowledge of the Python programming language plus experience in other programming languages such as R, Perl, C#, and Java. Knowledge of data structures, runtime analyses, and continuous integration preferred.
• Experience developing web-based and/or scientific software that includes several components and/or libraries, including a database. Experience developing open-source software is preferred.
• Enjoys working in a multidisciplinary and collaborative environment.

Responsibilities:

• Develop informatics software and analysis tools for machine learning analyses of genomic, clinical, and imaging datasets. (30%)
• Provide documentation and user support enabling computational researchers to access and use informatics software. (25%)
• Maintain well‑curated, highly structured, transparent omics, imaging, or clinical data resources and databases suitable for machine learning. (20%)
• Develop software tools to integrate bioinformatics and machine learning software applications with data resources. (20%)
• Establish and maintain standards for structured software engineering, including requirements, design, code, test, quality, configuration & release management, and project management. (5%)

Credentials and Qualifications:

• Minimum of bachelor’s degree with two (2) years of software development. ◦ Preference given to software development experience in biomedical data analyses and machine learning applications. Moffitt Cancer Center is the only NCI Designated Comprehensive Cancer Center based in Florida.

Relocating to Tampa, Florida, offers so much more than just sunshine and stunning beaches. This dynamic metropolitan area boasts a high quality of life and is a thriving center for innovative research, drawing talented individuals from all corners of the globe. Experience the rich culture, diverse year‑round activities, breathtaking coastlines, delectable dining options, and countless other attractions that make Tampa truly special. If you have the vision, passion, and dedication to contribute to our mission, then we have a place for you.

Salary Range 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.

Equal Employment Opportunity Moffitt Cancer Center 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. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.

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