Stanford University is seeking a Research Data Analyst 1 to Manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers.
You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements. Our culture is fast-paced, energetic, and growing all the time.
We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options:
Events and program for children, sports camps, tuition options
World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty
Work/life and family-friendly policies and reimbursement
Participation in Stanford's social responsibility and sustainable programs for a better world
A vibrant university culture that values the uniqueness of each individual
About the Department of Pathology:
Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease. We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields. Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals.
We are seeking a Research Data Analyst 1 to join the Lab of Dr. Brooke Howitt in the Department of Pathology. This Data Analyst will aid in many of the lab's research activities by collecting, managing, and cleaning datasets associated with patients' tissues, for a variety of study cohorts ranging from <10 patients to over 1,000 patients. You will extract data from clinical records and work with external collaborators to extract, clean, and provide de-identified data to create databases and reports. These databases need to be regularly updated, managed, and kept readily available for data exportation for analysis. As we study a variety of rare diseases and cancers, we often participate in multi-institutional projects where you will safely track and manage patient materials inventory in accordance with IRB protocols.
The Data Analyst will play a key role in designing, building, and maintaining the analytical pipelines used for routine analysis in the lab. We welcome candidates with a growth mindset, interest in a variety of cancer and autoimmune disease research questions, and a willingness to take on challenging learning opportunities. Candidates should be knowledgeable about best practices for handling large clinical datasets, using databases, and familiar with extracting data from medical records. This position will collaborate with a variety of trainees, research staff, and department staff, as well as institutional and industry collaborators.
In addition to comparable research compensation, candidates will have the opportunity to learn and develop their C.V. or resume through research publications and presentations.
Collect, manage and clean datasets.
Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
Analyze data processes in documentation.
Collaborate with faculty and research staff on data collection and analysis methods.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Communicate with government officials, grant agencies and industry representatives.
*- Other duties may also be assigned
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Bachelor's degree in Biology, Mathematics, Statistics, Computer Science or Biomedical related field.
Research experience in biology, pathology or oncology desired. Experience in designing data analysis pipelines is an advantage.
Experience (or willingness to learn) managing large patient cohorts and datasets in databases and digital repositories such as REDCap and Concentriq.
Intimate knowledge with at least one of the following programming languages: Python/R/Perl/Matlab/Java/C/C++
The candidate should be able to work independently, be highly motivated, well organized with exceptional attention to detail, adaptable and work well within a highly interdisciplinary and international team. Good communication and interpersonal skills as well as fluent English are essential, as well as proficient computer skills (Mac and PC).
Education & Experience (Required):
Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
Knowledge, Skills, and Abilities (Required):
Substantial experience with MS Office and analytical programs.
Strong writing and analytical skills.
Ability to prioritize workload.
Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
Occasionally use a telephone.
Rarely writing by hand.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $64,480 to $97,000 per annum/hour.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Why work at Stanford?Stanford University has changed the world, over and over again.We are one of Silicon Valley's largest employers - and also one of the most unique. Our mission is to educate future leaders and promote interdisciplinary, world-class research and teaching. This passion makes Stanford an intensely creative, rewarding, and challenging place to work. At the same time, our traditions of respect and collaboration sustain a humane, supportive environment in which to pursue your life and your career.At Stanford you'll work with bright, diverse, dedicated people. You'll find encouragement to learn and grow. You'll enjoy excellent benefits and an outstanding environment. How will it change you?