Multiple Faculty Positions – Computational Biomedical Science, Center for Computational Life Science

Multiple Faculty Positions (Assistant, Associate, Full Staff) – Computational Biomedical Science, Center for Computational Life Sciences

Cleveland Clinic

The Center for Computational Life Sciences at Cleveland Clinic offers multiple faculty positions in contemporary AI/ML and/or quantum computational sciences for promising scientists to contribute to our biomedical research and healthcare system as innovative independent thought leaders.

Research areas of particular interest include analysis of multi-modal data including real-world data/electronic health records, genomics, and machine learning (including quantum machine learning). These faculty positions (rank commensurate with experience) will shape and expand contemporary AI/ML technologies or emerging quantum computing applications centered around biomedical science and healthcare, supported by strong institutional commitment. The Center for Computational Life Sciences serves as a multi-institutional hub for collaborative research in computational life sciences and biomedicine positioned at the intersection of biology, healthcare, computer science, quantum computing, predictive modeling, simulation, AI, and disruptive computing. Cleveland Clinic’s electronic health record (EHR) is one of the largest in the world, containing more than 20 years of data on over 7 million patients. The Lerner Research Institute conducts cutting-edge basic and translational research across the four impact areas of Cancer, Brain and Vision, Inflammation and Immunity, and Heart and Vascular diseases. With continuous streams of longitudinal, multi-modal, large volume clinical and research data (in-vitro, in-vivo, and pre-clinical), computational and data sciences at Cleveland Clinic are ripe for innovation. These positions will have dedicated access to Cleveland Clinic’s data and computing infrastructure supported by a strong research partnership with IBM. The first private sector, on-premises IBM Eagle Quantum System (127 Qubit) in the United States is located on Cleveland Clinic’s main campus. In the coming years, the first of IBM’s next-generation 1,000+ qubit quantum systems will follow.

These Faculty will join the Center for Computational Life Sciences programs that span artificial intelligence, quantum computing, and digital technologies that actively engage with universities, government, industry, start-ups and other relevant organizations globally and as part of Cleveland Clinic’s role in the Cleveland Innovation District. Cleveland Clinic launched many initiatives to enrich clinic and research data including the creation of an enterprise data vault as well as a clinical research data warehouse. Cleveland Clinic continuously works to improve the quality, governance, and democratization of its data to enhance and accelerate research. The program will elevate Cleveland Clinic as the leader for a new ecosystem for computational life sciences, focused on advancing computational biomedicine through the development and application of scalable tools and techniques fit for the transdisciplinary problems in biosciences. The Faculty’s research program will be located in the newly constructed state-of-the-art research space for the Center. Rank will be commensurate with experience (Assistant Staff and above); the most competitive applicants will be those who already have an established independent research program (e.g. 2-4 years).

The Cleveland Clinic offers a very generous seed package that includes salary support. The Faculty efforts are fully focused on research; teaching opportunities may be available for interested faculty within Cleveland Clinic Lerner College of Medicine, and graduate programs in partnering institutes.

Job Requirements

• PhD or equivalent doctoral degree in Computational and/or Data Sciences, Quantum Information Science and Engineering, Computer Science, Computer Engineering, Biomedical Informatics, Bioinformatics, Statistics, Physics, Chemistry, or related field
• A minimum of 2 years related experience (equivalent to postdoc training) with potential for obtaining peer-reviewed extramural funding
• Research experience in developing contemporary machine learning and AI models and deploying into practice applicable to scientific discovery and innovation in biomedical research and healthcare. A solid foundation in computer science, with proven advanced capabilities in data structures, algorithms, and software design. Advanced skills in structured and unstructured data analytics, including heterogeneous data types, e.g., imaging, language, physiological signals.
• Demonstrated ability to lead a multidisciplinary team.
• A successful record of developing research partnerships and collaborative relationships with universities, industry, and research laboratories. Excellent interpersonal skills, the ability to work independently, outstanding written and oral communication skills, good organizational skills.

Essential Duties and Responsibilities

Major duties include

• Conduct high-quality research in collaboration with a diverse, interdisciplinary team of doctoral-level data scientists and engineers within the Center and researchers and physicians across the Cleveland Clinic institutes and outside of Cleveland Clinic
• Support leaders (intramural or extramural) to develop data and computing governance and implementation strategy
• Design and carry out original computational research and its applications in biomedicine
• Develop research ideas into actionable computational research strategies and programs
• Educate and mentor trainees
• Actively facilitate other Cleveland Clinic research faculty to enable the wide adoption of quantum computing technology
• Design and carry out original research in /quantum computing
• Develop research ideas into actionable team-based research strategies and programs
• Publish research in peer-reviewed journals and conference proceedings

Interested candidates should email a curriculum vitae, the names of at least three references and a letter summarizing experience, research interests, current funding sources (if applicable), and current team composition to CCLSJobSearch@ccf.org. Review of applications will occur on a rolling basis and continue until the positions are filled.

These positions are central and critical for growth and sustainability of computational biomedicine at the Cleveland Clinic.

Description of Cleveland Clinic Infrastructure for Health care Innovation

Cleveland Clinic has operated for over 100 years on the principle of bringing innovative teams together to provide better care for patients worldwide. Today, Cleveland Clinic is a world leader in science-based healthcare (see:  Cleveland Clinic Main Campus Tour video). Our strategic plan for Research Development will harness information technology to power significant advances in both personalized and population medicine. A major component of the strategy will be our anchor role in building the Cleveland Innovation District. This unprecedented collaboration includes participation and investment by the State of Ohio along with 5 independent Cleveland healthcare and academic institutions and is designed to transform research, education, and economic opportunities in Northeast Ohio and globally.

As part of the Cleveland Innovation District, Cleveland Clinic has pledged to double its research footprint and output in the next five years and create thousands of new jobs. A substantial part of this commitment involves the creation of the Global Center for Pathogen & Human Health Research.  A major goal of the center is to develop the means to prevent or combat the next pandemic or global health crisis and it will operate under the tandem principles of “Discover without Limits” and “Transform Discovery into Practice.”

The Global Center resides in 400,000 square feet of newly constructed research space housing state-of-the-art laboratories and technologies. Cleveland Clinic’s international clinical care footprint provides a large, growing, and diverse patient population giving our research teams access to tens of thousands of unique biological samples through the centralized Cleveland Clinic BioRepository. Furthermore, the Discovery Accelerator, a newly established partnership with IBM Research, will leverage high- performance computing using hybrid cloud, artificial intelligence (AI), and quantum computing technologies to empower and accelerate big data research. The newly established Center for Therapeutic Discovery provides a full-scale drug discovery effort to identify new drug targets and therapies.

 

Cleveland Clinic is pleased to be an equal employment/affirmative action employer. 
We are a smoke/drug free environment.