Data Scientist (Biostatistician 2)

🔍 School of Medicine, Stanford, California, United States

New

📁: Information Analytics

📅   : 1 day ago Post Date

📅   : 106672 Requisition #

The Department of Ophthalmology at Stanford University, School of Medicine, is seeking a highly motivated, hard-working, and professional Data Scientist to facilitate research efforts in ophthalmology. The incumbent will be part of the Department of Ophthalmology; however, the position will be in a collaborative environment, engaging with other Stanford faculty and staff across multiple departments, including Biomedical Data Science, Research IT, and Research Informatics Center. The incumbent will work with a combination of structured and unstructured (text, imaging) data from several sources, including Stanford’s STARR and STARR-OMOP clinical research databases, the ophthalmology Sight Outcomes Research Collaborative (SOURCE) national electronic health records registry, the All of Us national cohort, commercial and Medicare claims data, national survey data, and other sources.

The position will require an incumbent who is comfortable working with some independence; consulting with and advising investigators to refine research questions, define hypotheses and project objectives, design studies and devise analysis plans; and working with project team members—including clinicians, trainees, and other statisticians/informaticists—to implement analysis plans and publish findings. The incumbent must be proficient at balancing involvement in multiple simultaneous projects and prioritizing to manage competing priorities. The incumbent will work closely with others to interrogate databases to create analytic files, perform quality control and data cleaning, and manage and analyze data. The incumbent must be an excellent and timely communicator, able to present results in oral and written form to clinical investigators.

Duties include:

Work directly with investigators and independently identify appropriate data analytic approaches; assist in study design and proposal development
Create analytic files with detailed documentation. Prepare data for analysis by cleaning, identifying cohorts, reshaping data, creating new variables, merging multiple data tables, creating and maintaining new databases as needed.
Implement data analyses using predictive modeling approaches (machine-learning, deep-learning), or inferential statistical methods as appropriate to the project
Develop reusable and well-documented code for all projects, that can be maintained in a repository (e.g. GitHub) for collaborative use
Quickly learn new skills as needs arise, such as new programming or statistical packages
Communicate and present results for investigators using graphs and tables.
Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
* - 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 for 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.

DESIRED QUALIFICATIONS:

Strong background in machine learning, biostatistics, and bioinformatics
Intellectually curious; willing and eager to learn new skills
Experience with large datasets and database use
Experience with analysis of real-world observational health data (e.g., electronic medical records, insurance claims)
Manipulation and analyses of complex high-dimensional data
Ability to perform careful data cleaning and preparation, including: identifying and handling data discrepancies, duplicates, missing values, outliers, etc; developing cohorts of patients based on inclusion and exclusion criteria, such as those based on billing code diagnoses, age or other demographics, length of follow-up, or other characteristics; creating new variables, including coding relevant outcomes, combining sparse variables, normalizing/standardizing variables; merging datasets on multiple key values; reshaping data from long to wide or vice versa as the befits the analysis needs; loading data into analysis programs, saving data into different file formats
Experience with the following: 1) Machine learning predictive models (gradient boosted trees, random forest etc.); 2) Deep learning neural networks, transfer learning
Experience with free-text data (e.g., natural language processing, large language models) is a plus, or else willingness to learn

EDUCATION & EXPERIENCE (REQUIRED):
Master's degree in biostatistics, statistics or related field and at least 3 years of experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
• Proficient in R (preferred), or alternatively either SAS or STATA for statistical analyses and visualization.
• Proficient in SQL
• Proficient in Python, including packages such as Jupyter Notebook, matplotlib, pandas, scikit-learn, and either tensorflow/keras or pytorch or both.
• Able to use GitHub, write reusable and well-documented code
• Familiarity with using cloud computing platforms for data analysis, such as Google Cloud Platform and/or Amazon Web Services
• Outstanding ability to communicate in written and oral English how data analyses were performed, to both technical and non-technical audiences.
• Demonstrated excellence in at least one area of expertise, which may include statistical methodology such as missing data, survival analysis, or informatics; statistical computing; database design (e.g., Oracle databases, SQL); predictive modeling (machine learning and deep learning).

CERTIFICATIONS & LICENSES:
None

PHYSICAL REQUIREMENTS*:
• 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.

WORKING CONDITIONS:
May work extended or non-standard hours based on project or business cycle needs.

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 responsibility and value for safety; communicates safety concerns; 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.

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, and museums.
Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.

How to Apply:
We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application. The finalist must successfully complete a background check prior to working at Stanford University. OPT permit holders should confirm that they are eligible to work in the US for two years or more.

The expected pay range for this position is $112,292 to $132,108 annually.

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 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.