Stanford University, the
Personalized Integrative Medicine Laboratory in the Radiology
Department
( https : / / pimed.stanford.edu / )
and the Urologic Cancer Innovation Laboratory
( http : / / ucil.stanford.edu )
is seeking a creative, highly motivated, Research and Development
Scientist and Engineer 1 with an interest in developing platforms
that integrate and deploy multimodal machine learning methods in
clinical
applications.
The
project is focused on developing a software platform to deploy our
existing ultrasound-MRI models for prostate cancer detection in
clinical practices. The position requires managing complex
multi-modal data sets including clinical assessments, laboratory
results, radiological images and pathological findings, to develop
a user-friendly software that will encompass existing approaches
and allows for easy integration of new models. The successful
candidate will join the Department of Radiology at Stanford
University and will work with a multi-disciplinary team of
clinicians, statisticians, computer scientists, and trainees. This
position is available immediately and has a 1-year duration, with
possibility of extension based on funding availability and mutual
agreement.
Duties
include
Design
and develop specialized software and tools; coordinate detailed
phases of work related to responsibility for part of a major
project.
Develop
technical and methodological solutions to complex
engineering / scientific problems requiring independent analytical
thinking and advanced
knowledge.
Develop
creative new or improved equipment, materials, technologies,
processes, methods, or software important to the advancement of the
field.
Contribute
technical expertise, and perform basic research and development in
support of programs / projects; act as advisor / consultant in area of
specialty.
Optional :
prepare and write reports; draft and prepare scientific
papers.
Provide
technical directions to other research staff, engineering
associates, technicians, and / or students, as
needed.
assigned.
DESIRED
QUALIFICATIONS : Candidates
should have prior experience in software and platform development
and C++ / python / docker / UIX programming, and be familiar with
toolkits, e.g., ITK, opencv,
sklearn.
Candidate
should have prior experience with Designing User Interfaces,
including image visualization and connect platforms with docker
containers.
Candidates
with experience in radiomics, segmentation, image registration are
strongly encouraged to
apply.
Candidates
should have demonstrated ability to work independently, attention
to details, be dedicated and
self-motivated.
Collaborative
team spirit, strong communication skills, positive attitude and
adherence to highest ethical principles are necessary to be
considered.
The
candidate should have knowledge and experience in machine learning
and deep learning, visualization, platform implementation.
The preferred
candidate would also have experience with medical image processing,
and traditional signal processing
techniques.
EDUCATION
& EXPERIENCE
(REQUIRED) : Bachelor's
degree and three years of relevant experience, or combination of
education and relevant experience. Preferred candidates will have
an M.S. with relevant experience or Ph.D. in Biomedical
Engineering, Electrical Engineering, Biomedical Informatics,
Computer Science or related
fields.
KNOWLEDGE,
SKILLS AND ABILITIES
(REQUIRED) : Bachelor's
knowledge of the principles of engineering and related natural
sciences.
Demonstrated
project management
experience.
PHYSICAL
REQUIREMENTS
Frequently
grasp lightly / fine manipulation, perform desk-based computer tasks,
lift / carry / push / pull objects that weigh up to 10 pounds.
Occasionally
stand / walk, sit, twist / bend / stoop / squat, grasp
forcefully.
Rarely
kneel / crawl, climb (ladders, scaffolds, or other), reach / work above
shoulders, use a telephone, writing by hand, sort / file paperwork or
parts, operate foot and / or hand controls, lift / carry / push / pull
objects that weigh >
40
pounds.
will provide reasonable accommodation to any employee with a
disability who requires accommodation to perform the essential
functions of his or her
job.
WORKING
CONDITIONS : May
be exposed to high voltage electricity, radiation or
electromagnetic fields, lasers, noise >
80dB TWA,
Allergens / Biohazards / Chemicals / Asbestos, confined spaces, working
at heights of 10 feet, temperature extremes, heavy metals, unusual
work hours or routine overtime and / or inclement
weather.
May require
travel.
WORK
STANDARDS : Interpersonal
Skills : Demonstrates the ability to work well with Stanford
colleagues and clients and with external
organizations.
Promote
Culture of Safety : Demonstrates commitment to personal
uses and promotes safe behaviors based on training and lessons
learned.
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 .
The
expected pay range for this position is $127,211 to $154,222 per
annum.
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.
Consistent
with its obligations under the law, the University will provide
reasonable accommodations to applicants and employees with
disabilities. Applicants requiring a reasonable accommodation for
any part of the application or hiring process should contact
Stanford University Human Resources by submitting a
contact
form .
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.
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.
Research And Development Engineer • Stanford, CA, US