Assistant Scientist
Doctoral degree in biomedical informatics, computer science, biostatistics/statistics, or a related discipline.
The successful candidate will be expected to plan, supervise, and lead research in real-world data analytics and related areas within HOBI. They will provide technical expertise in study design, data collection and processing, pipeline development, data analysis, result interpretation, manuscript preparation, and grant proposal development. Collaborative research with other faculty in HOBI and across UF Health research units (e.g., the UF Health Cancer Center) is strongly encouraged. This position also offers opportunities to supervise postdoctoral fellows or graduate research assistants, lead research projects or team initiatives, and develop independent grant applications.
Salary is commensurate with qualifications and experience
Applicants should possess a doctoral degree in biomedical informatics, computer science, biostatistics/statistics, or a related discipline. Candidates are expected to have experience in machine learning and NLP/LLMs, with demonstrated ability to apply these techniques in the biomedical or health informatics domain. Strong algorithm development and programming skills are required, along with excellent teamwork and communication skills.
Candidates are expected to have experience in machine learning and NLP/LLMs, with demonstrated ability to apply these techniques in the biomedical or health informatics domain. Strong algorithm development and programming skills are required, along with excellent teamwork and communication skills.
In order to be considered, you must upload your cover letter and resume.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
This is a time limited position. Multiple positions may be hired from this requisition.
The University of Florida is committed to providing equal employment opportunities for all qualified individuals. If you require an accommodation due to a disability to apply for this position, please contact the ADA Office at (352) 392-2477 or the Florida Relay System at (800) 955-8771 (TDD). For more information, visit the UF ADA Compliance website: https://ada.ufl.edu
Freqently Asked Questions
Proficiency in machine learning algorithms and natural language processing (NLP) techniques is crucial, especially in applying these to healthcare datasets. Mastery of programming languages like Python or R for algorithm development enhances data analysis and pipeline creation, aligning perfectly with Gainesville's growing biomedical informatics research environment.
Scientists in Gainesville often integrate multidisciplinary collaboration with hands-on data analytics, focusing on real-world data within biomedical informatics. Their day balances technical tasks like study design and coding with leadership in managing postdoctoral fellows, reflecting the region's emphasis on team-driven innovation.
Salaries typically range based on experience and education, with doctoral-level candidates expecting between $75,000 and $95,000 annually. This range reflects Gainesville's competitive market for specialized roles combining machine learning and health data analysis.
While a doctoral degree is paramount, certifications in data science, biostatistics, or health informatics can strengthen a candidate’s profile. Local institutions value proven expertise in machine learning applications and programming proficiency, which enhance research impact in Gainesville’s medical research community.
The Society encourages collaborative projects spanning multiple UF Health research units, promoting cross-disciplinary data analytics. Assistant Scientists gain opportunities to lead research teams, supervise fellows, and contribute to grant proposals, cultivating a dynamic environment that values cutting-edge biomedical informatics.
This position uniquely blends leadership in real-world data pipeline development with active manuscript preparation and grant writing. The Society’s commitment to collaboration across UF Health centers offers a broader scope for interdisciplinary research compared to more narrowly focused local labs.
Integrating complex algorithms with heterogeneous biomedical datasets requires meticulous data preprocessing and domain expertise. Navigating regulatory standards and ensuring reproducibility in healthcare contexts adds layers of complexity, demanding both technical skill and teamwork within Gainesville’s research frameworks.
Demand for such specialized roles is rising due to expanding biomedical research initiatives at UF Health. However, competition remains intense given the high qualification bar, especially for candidates adept in programming and advanced analytics, making continuous skill development essential.
Many progress to senior scientist positions or leadership in research programs, often expanding their grant writing and project management responsibilities. The collaborative setting in Gainesville supports career advancement through mentorship and interdisciplinary exposure.
Gainesville's community-oriented atmosphere and relatively moderate cost of living contribute to a more balanced lifestyle for researchers. The Society’s culture supports flexible collaboration and encourages professional growth without sacrificing personal well-being.