Research Data Scientist

University of Wisconsin Madison; Brantford; Hybrid; USD 90,000 - 110,000; Full time

Job summary

An established industry player in healthcare research is seeking a passionate Data Scientist to join their innovative team. This role offers the opportunity to work on transformative data science projects that enhance patient outcomes through advanced analytics. The ideal candidate will leverage clinical, omics, and imaging data to develop cutting-edge computational algorithms and predictive models. Collaborating with a dynamic team, you will contribute to groundbreaking research while ensuring compliance with privacy regulations. If you are eager to make a significant impact in the healthcare sector and drive scientific advancements, this position is perfect for you.

Benefits

Generous vacation

Competitive insurances

Retirement benefits

Sick leave

Qualifications

• 5+ years experience in analyzing large-scale omics data.
• Proficiency in programming languages such as Python, R, and SQL.
• Strong knowledge of bioinformatics tools and databases.

Responsibilities

• Develop and implement informatics pipelines for data processing.
• Analyze large-scale datasets using advanced computational methods.
• Build predictive models to forecast health outcomes.

Skills

Data Analysis

Machine Learning

Bioinformatics

Statistical Analysis

Python

R

SQL

Problem Solving

Communication

Education

MD or PhD in Computer Science

PhD in Data Science

PhD in Bioinformatics

Tools

Bioinformatics Tools

Data Visualization Software

Job description

Job Summary:

About Us: The UW School of Medicine and Public Health (SMPH) is a leader in research and innovation, dedicated to improving patient outcomes through advanced data science and analytics. We are seeking experienced Research Data Scientists for the Data Science to Promote Precision Medicine initiative, and drive transformative data science projects to enhance healthcare and research at SMPH.

Are you passionate about improving patient health outcomes, optimizing healthcare processes, and advancing science? Join our dynamic Informatics and Information Technology team at the University of Wisconsin School of Medicine and Public Health in Madison, Wisconsin. We are committed to revolutionizing healthcare through implementation of advanced data science approaches, conducting cutting-edge data-centric research, and generating real-world evidence to improve patient health outcomes in WI. As a Data Scientist, the incumbent will use clinical, omics and imaging data to develop and implement advanced computational algorithms and support conduct of groundbreaking data-driven research.

On a day-to-day basis, the incumbent could expect to engage in the following activities in supporting researchers:
- Develop and implement informatics pipelines for clinical, omics or imaging data processing, integration, and visualization.
- Analyze and interpret large-scale omics or imaging datasets using advanced computational/bioinformatics methods.
- Apply statistical and machine learning techniques to identify patterns and insights from complex clinical and biological data.
- Develop/validate advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models.
- Build predictive models to forecast disease risk and progression, health outcomes and treatment effectiveness; and gain actionable insights from model outputs and communicate findings to research community.
- Apply NLP techniques to extract insights from clinical notes, reports, and unstructured text data; and develop models for sentiment analysis, entity recognition, and information extraction.
- Work closely with cross-functional teams, including clinicians, data scientists, data engineers, and product managers, and present research findings and recommendations in a clear and actionable manner.
- Work closely with data governance and security to ensure compliance with privacy regulations (e.g., NIST, HIPAA) when working with healthcare data; and address bias and fairness issues in AI models when dealing with sensitive health data.
- Keep abreast of emerging trends and advancements in AI research to propose innovative solutions to healthcare challenges.

Responsibilities:
Contributes to a research agenda set by a lead researcher by preparing data sets, analyzing them using data science techniques, and presenting the results. Plays a leadership role and may lead a team and/or personnel.

• 10% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources


• 15% Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining


• 10% Organizes and automates project steps for data preparation and analysis


• 15% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators


• 15% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows


• 15% Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science


• 20% Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Education:

Preferred
Terminal Degree
MD or PhD in Computer Science, Data Science, Clinical Informatics, Bioinformatics Epidemiology, Biostatistics, Ophthalmology or related disciplines.

Qualifications:

Required:
- At least five years of experience in any of the following:
- Analysis of large-scale human sample-based omics data (genomics/proteomics/metabolomics) and strong knowledge of bioinformatics tools and databases.
- Analysis of EHR data
- Analysis of Ophthalmic imaging data
- Proficiency in programming languages such as Python, R, and SQL.
- Experience with statistical analysis and machine learning techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively in a team environment.

Preferred:
- Experience working in academic institutions.

Work Type:

Full Time: 100%

This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location.

Appointment Type, Duration:

Ongoing/Renewable

Salary:

Minimum $90,000 ANNUAL (12 months)
Depending on Qualifications
The starting salary for the position is $90,000 but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at (https://hr.wisc.edu/benefits/).

SMPH Academic Staff Benefits flyer: (https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0)

Additional Information:

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.

How to Apply:

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience.

Contact:

Aisha Liebenow
[e-mail]
608-262-5743
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Official Title:

Data Scientist III(RE061)

Department(s):

A53-MEDICAL SCHOOL/Informatics and IT

Employment Class:

Academic Staff-Renewable

Job Number:

314151-AS

The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, click here

To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Division Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require you and your references to answer questions regarding sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.