Research Data Analyst 2

The Center for Population Health

Sciences (PHS) at Stanford University School of Medicine is seeking

a Research Data Analyst 2 for data management, data analysis, and

data science work focused on population health and health equity

serving the American Family Cohort Consortium. The American Family

Cohort (AFC) is a national EHR dataset comprised of over 7 million

unique individuals from a variety of sources. These data have been

used for research in health economics, health services and health

equity. We seek an individual with an interest in population health

and primary care, health equity, quality and continuity. The ideal

applicant will have experience in AI, ML or NLP in EHR data or a

strong interest in applying these methods to primary

care.

This position will

be primarily responsible for managing and analyzing AFC, a large,

rich, national EHR dataset. The applicant should be comfortable

with data management and cleaning and statistical analyses. The

Research Data Analyst is expected to be exposed to working in the

cloud environment and learning machine learning techniques. The

role requires working independently with minimal supervision, as

well as communicating results in code, orally, and in writing to

internal and external researchers and stakeholders. This position

will also be expected to curate and create new derivative datasets

and perform data management procedures, including data security, as

well as train and update other researchers and staff on these

procedures. In addition, the position requires project management

skills helping to move projects along for internal and external

collaborators and assisting in the design and management of new

projects. This position provides ample opportunity for first author

publications.

About

Center for Population Health

Sciences

Founded in

2015, the Stanford Center for Population Health Sciences' (PHS)

mission is to improve population health by bringing together

diverse disciplines and data to better understand and address the

social and environmental determinants of health. This position will

work with PHS’s most valuable datasets to advance the goal of

reducing premature morbidity and mortality and disparities in

health

outcomes.

Duties

include :

Prioritize and extract data from a variety of source including a

large, national, granular, high value health dataset held by PHS.

These datasets include EHRs, claims, survey data, medical reports,

and laboratory data. The position will be expected to perform

quality checks and ensure data are accurate and

complete.

• Determine additional

data collection and reporting

requirements.

customize reports based upon data in the database. Monitor

regulatory compliance for utilization of the

data.

checks to identify potentially problematic data, make corrections,

and eliminate root cause for data problems or justify solutions to

be implemented by others.

Create complex charts and databases, perform statistical analyses,

and develop graphs and tables for publication and

presentation.

resource for non-routine inquiries such as requests for statistics

or surveys.

documentation based on audit and reporting criteria to

investigators and research staff.

duties may also be

assigned

DESIRED

QUALIFICATIONS :

Minimum 2 years of experience with Python programming and its data

analysis packages.

SQL for data management and data

analysis.

experience conducting statistical

analyses.

cloud environment such as Google Cloud or AWS is a

plus.

large datasets is a plus.

Academic or practical training in public health epidemiology,

research methodology, database construction, and biostatistics is a

plus.

EDUCATION

& EXPERIENCE

(REQUIRED) : Bachelor's

degree and three years of relevant experience or combination of

education and relevant experience. Experience in a quantitative

discipline such as economics, finance, statistics or

engineering.

KNOWLEDGE,

SKILLS AND ABILITIES

(REQUIRED) : Bachelor's

programs.

analytical skills.

prioritize workload.

clearly and concisely communicate ideas during meetings and in

presentations, tailoring technical aspects of the work to the

particular

audience.

CERTIFICATIONS

LICENSES : None

PHYSICAL

REQUIREMENTS

Sitting in place at computer for long periods of time with

extensive

keyboarding / dexterity.

Occasionally use a telephone.

Rarely writing by

hand.

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.

WORKING

CONDITIONS : Some

work may be performed in a laboratory or field

setting.

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 $75,752 to $104,385 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.

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 at

stanfordelr@stanford.edu .

For all other inquiries, please submit 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. Stanford

welcomes applications from all who would bring additional

dimensions to the University's research

mission.