Clinical Data Scientist
Redwood City, CA, USA | Stanford Health Care hospital
Industry:Healthcare - Hospitals
Job Description:75 people have viewed this job
The essential functions listed are typical examples of work performed by positions in this job classification.They are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Employees may also perform other duties as assigned.
Employees must abide by all Joint Commission Requirements including but not limited to sensitivity to cultural diversity, patient care, patient’s rights and ethical treatment, safety and security of physical environments, emergency management, teamwork, respect for others, participation in ongoing education and training, communication and adherence to safety and quality programs, sustaining compliance with National Patient Safety Goals, and licensure and health screenings.
Employee must perform all duties and responsibilities in accordance with the C-I-CARE Standards of the Hospital. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions.
Collect and critically analyze information from peer-reviewed scientific journals and public data sources; abstract relevant data into the required format and verify for accuracy.
Compile and create educated summaries of clinical and scientific literature, discovering new facts by analyzing the collected data.
Summarize results of analyses and present in both written and verbal formats.
Monitor and assess performance of computational approaches, analytical tools, and data models as used in current clinical and research procedures.
Identify and assess existing computational approaches, analytical tools, and data models applicable to clinical and research goals.
Define and test novel computational approaches, analytical tools, and data models as required by clinical and research goals.
Participate in collaborations with other clinical or research labs and affiliates.
Participate in presentations and demonstrations of analyses and procedures at conferences or other institutions.
Supervise or guide staff, as needed; schedule and assign workload; set appropriate deadlines; review work for quality and timeliness.
Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.
Education: Doctor of Medicine, Doctor of Pharmacy, Doctor of Philosophy, or Masters in scientific field and three years of relevant experience, or combination of relevant experiences.
Experience: Three (3) years of related work experience or combination of relevant experiences, including a minimum of one (1) year work experience in a molecular diagnostics laboratory that performs germline genetic testing.
Any combination of education and experience that would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications is qualifying.
Knowledge, Skills, and Abilities
These are the observable and measurable attributes and skills required to perform successfully the essential functions of the job and are generally demonstrated through qualifying experience, education, or licensure/certification.
Strong analytical skills.
Demonstrated understanding of genetics and genomics
Ability to understand scientific literature, experimental procedures and their limitations, and applications of this information in the clinical setting
Computer skills, including word processing and spreadsheet applications.
Experience with data manipulation and integration, relational databases, and statistics.
Strong written and oral English communication skills.
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