Biostatistician - Biomedical Informatician
Company: Stanford Medicine
Location: Santa Clara
Posted on: May 13, 2022
At the Stanford Center for Biomedical Research (BMIR) we develop
cutting-edge ways to acquire, represent, and process information
about human health. In order to handle the ever increasing amounts
of data in healthcare and biomedical research, our faculty,
students, and staff investigate and create novel computational,
statistical, organizational, and decision-making methods. Our
research advances the state of the art in semantic technology,
biostatistics, and the modeling of biomedical systems to benefit
clinical and translational research as well as patient care.
In the Boussard Lab, we focus on generating and evaluating
innovative artificial intelligence (AI) tools to aid in clinical
decision support and inform guidance and policy development in
healthcare settings. We apply novel machine learning/deep learning
methods and natural language processing (NLP) techniques to derive
insights from electronic health records (EHRs), administrative
claims, disease registries, and patient-reported health outcomes.
We develop a range of AI tools for a variety of healthcare
applications, including medical diagnostics, treatment protocol
development, risk stratification, and clinical trial recruitment.
Our research advances the state of the art in biomedical
informatics to benefit clinical and translational research as well
as patient care. We work in a highly collaborative environment with
lab members from a broad range of background and expertise such as
computer scientists, statisticians, and medical professionals. The
incumbent will work with teams of postdocs and graduate students
coming from diverse backgrounds, including computer science,
statistics, economics, and medical disciplines. The incumbent will,
with some independence, consult with investigators to refine
research questions, define hypotheses, design studies and devise
analysis plans. We are seeking a team player who would be involved
in all aspects of the research, including dissemination and
publication of findings.
- Design study.
- Develop and implement protocol for quality control.
- Create analytic files with detailed documentation.
- Select appropriate statistical tools for addressing a given
- Implement data analysis through statistical programming.
- Present results for investigators using graphs and tables.
- Summarize findings orally and in written form.
- Mentor collaborators in areas of experimental design, quality
control, and statistical analysis.
- Develop oral and written dissemination of findings for
conference presentations and peer-reviewed journal articles.
- Oversee lower-level staff on issues related to quality control
and creation of analysis files.
- Collaborating with researchers to design solutions to relevant
medical questions and maximize the value of our diverse data
sources to the community and medical population
- Determining how to implement and deploy AI solutions into
- Developing AI tools and integrating them with our internal data
management system to automate clinical queries and research
- Connecting research data to medical knowledge to streamline the
process of answering clinical questions
- Transforming unstructured data to knowledge using innovative
natural language processing (NLP) techniques
*- 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
- PhD in statistics, biostatistics, biomedical informatics.
computer science, health services research
- Experience in machine learning
- Experience with large datasets and database use, particularly
electronic medical records
- Experience with healthcare data
- Strong knowledge of at least one programming language (python,
- Experience with deep learning approaches
- Industry experience as a data scientist a plus
- Strong communication and presentation skills
- Ability to define and solve logical problems for technical
EDUCATION & EXPERIENCE (REQUIRED):
- Master's degree in biostatistics, statistics or related field
and three years of experience.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Proficient in at least two of R, SAS, SPSS, or STATA.
- Skills in descriptive analysis, modeling of data, and graphic
- Outstanding ability to communicate technical information to
both technical and non-technical audiences.
- Demonstrated excellence in at least one area of expertise,
which may include coordinating studies; statistical methodology
such as missing data, survival analysis, statistical genetics, or
informatics; statistical computing; database design (e.g.,
expertise in RedCAP or MySQL); graphical techniques (e.g.,
expertise in Illustrator).
CERTIFICATIONS & LICENSES:
- Frequently perform desk based computer tasks, seated work and
use light/ fine grasping.
- Occasionally stand, walk, and write by hand, lift, carry, push
pull objects that weigh up to 10 pounds.
*- 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.
- May work extended or non-standard hours based on project or
business cycle needs.
- Interpersonal Skills: Demonstrates the ability to work well
with Stanford colleagues and clients and with external
- Promote Culture of Safety: Demonstrates commitment to personal
responsibility and value for safety; communicates safety concerns;
uses and promotes safe behaviors based on training and lessons
- Subject to and expected to comply with all applicable
University policies and procedures, including but not limited to
the personnel policies and other policies found in the University's
Administrative Guide, http://adminguide.stanford.edu/ .
Why Stanford is for you
Imagine a world without search engines or social platforms.
Consider lives saved through first-ever organ transplants and
research to cure illnesses. Stanford University has revolutionized
the way we live and enrich the world. Supporting this mission is
our diverse and dedicated 17,000 staff. We seek talent driven to
impact the future of our legacy. Our culture and unique perks
empower you with:
- Freedom to grow. We offer career development programs, tuition
reimbursement, or audit a course. Join a TedTalk, film screening,
or listen to a renowned author or global leader speak.
- A caring culture. We provide superb retirement plans, generous
time-off, and family care resources.
- A healthier you. Climb our rock wall, or choose from hundreds
of health or fitness classes at our world-class exercise
facilities. We also provide excellent health care benefits.
- Discovery and fun. Stroll through historic sculptures, trails,
- Enviable resources. Enjoy free commuter programs, ridesharing
incentives, discounts and more.
*- 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.
- Schedule: Full-time
- Job Code: 5522
- Employee Status: Regular
- Pay Grade: I
- Requisition ID: 90317 As an organization that receives federal
funding, Stanford University has a COVID-19 vaccination requirement
that will apply to all university employees, including those
working remotely in the United States and applicable
subcontractors. To learn more about COVID policies and guidelines
for Stanford University Staff, please visit
Keywords: Stanford Medicine, Santa Clara , Biostatistician - Biomedical Informatician, Other , Santa Clara, California
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