Job Description

JOB SUMMARY:

The Associate Clinical Data Scientist works with the data science team to collect clinical data for machine learning algorithm development, for clinical studies related to FDA submission, and for research and scientific communications purposes. The successful applicant will work closely with clinical data scientists to conduct clinical studies, analyze data, manage IRB-related regulatory documentation, and act as a bridge between DeepHeath and external academic and clinical partners. DeepHealth is the AI division of RadNet (NASDAQ: RDNT) and was founded by AI and medical experts from Harvard and MIT to develop life-saving innovative solutions. Building on RadNet’s nationwide presence and world-class database of medical images, DeepHealth’s goal is to create and deploy the highest performing AI algorithms possible to improve the lives of patients everywhere.

This role includes data science and clinical data management components, requiring the ability to work independently, solve problems creatively and communicate effectively. This position will be based in Cambridge, MA, but remote candidates that are highly qualified and excel working independently will be considered.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collects, cleans and curates imaging data and clinical meta data.
• Performs summary analyses of data and report results.
• Performs data wrangling tasks for algorithm development and clinical reporting.
• Helps maintain data integrity and security.
• Documents and tracks patient and imaging data.
• Schedules study tasks with clinicians and administrators.
• Interacts with clinicians to facilitate data collection.
• Tracks IRB documentation for clinical studies and academic partnerships.
• Participates in meetings and projects, and complete other duties as assigned by management.

PLEASE NOTE: THIS IS NOT AN EXHAUSTIVE LIST OF ALL DUTIES, RESPONSIBILITIES AND REQUIREMENTS OF THE POSITION DESCRIBED ABOVE. OTHER FUNCTIONS MAY BE ASSIGNED AND MANAGEMENT RETAINS THE RIGHT TO ADD OR CHANGE DUTIES AT ANY TIME.

MINIMUM QUALIFICATIONS, EDUCATION, AND EXPERIENCE:

· Bachelor's degree required, Masters or Ph.D. preferred.

· Self-starter with ability to work independently.

· History of independent accomplishments and overcoming challenges.

· Excellent communications skills (both written and oral).

· Excellent project organization and time management skills.

· Coding proficiency in Python.

· Experience working with large real-world datasets.

· Experience working with clinicians, preferred.

· Publications in peer-reviewed manuscripts, preferred.

QUALITY STANDARDS:

· Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors.

· Demonstrates initiative, personal awareness, professionalism and integrity, and exercise confidentiality in all areas of performance.

· Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA.

· Follows OSHA regulations, RadNet and site protocols, policies and procedures.

· Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times.

· Practices universal safety precautions.

· Promotes good public relations on the phone and in person.

· Adapts and is willing to learn new tasks, methods, and systems.

· Reports to work regularly as scheduled; consistently punctual with respect to working hours and lunch schedules, and maintains satisfactory personal attendance in accordance with RadNet guidelines.

· Consistently adheres to the time management policies and procedures.

· Completes job responsibilities in a quality and timely manner.

PHYSICAL DEMANDS:

This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Must be able to use a computer and other office machinery including copiers, scanners and computer software.

WORKING ENVIRONMENT:

Office setting

RadNet is an equal employment opportunity employer and treats all applicants and employees in a fair and non-discriminatory manner without regard to race, color, religion, sex (including pregnancy), gender, gender-identity, national origin, ancestry, genetic information, citizenship, age, mental or physical disability, veteran/military status, qualified disabled veteran, marital/ domestic partnership status, religious creed, medical condition, sexual orientation, political activity, or any other characteristic protected by federal, state or local laws. RadNet does participate in E-I9 Verify.

Company Description

DeepHealth uses machine learning to distill lifetimes of insights from medical experts into software to assist radiologists. Our mission is to enable the best care by providing products that clinicians and patients can trust, through rigorous science and clinical integration.