Data Analyst, Data Science at Susan G. Komen for the Cure

Data Analyst, Data Science
Regular Full-Time
Chicago, Illinois, US
Remote, Remote, US
West Palm Beach, Florida, US
Requisition ID: 2269

About Susan G. Komen:
Susan G. Komen brings a 100% virtual working environment and you can work anywhere within the U.S. We are a force united by a promise to end breast cancer forever. For over 30 years, we’ve led the way funding groundbreaking research, community health initiatives and advocacy programs in local communities across the U.S. and in more than 30 countries. Susan G. Komen is the ONLY organization that addresses breast cancer on multiple fronts such as research, community health, global outreach and public policy initiatives in order to make the biggest impact against this disease.

Komen strives to have a culture of passionate, growth-minded professionals who thrive in a team environment, and work collaboratively to inspire greatness in others! We take an ongoing approach to ensure open communication from all levels throughout the organization. It’s encouraged to give and receive feedback to ensure two way accountability with a focus on continual improvement both personally and professionally!

What You’ll Be Doing in the role of Data Analyst:
The Data Analyst is a member of the Data Science team within Komen’s Mission division. The Data Science team is part of the Scientific Strategy and Programs team, which works at the intersection of science and patient advocacy to translate scientific strategy and patient insights into programs that will accelerate research discoveries to save lives. Specifically, the Data Science team facilitates the use of a variety of data to fuel scientific discoveries and improve breast cancer outcomes.

The Data Analyst applies analytics skills and tools to support and monitor the use of Komen’s research data repository for research projects and associated programs that are part of Komen’s Big Data For Breast Cancer (BD4BC) Initiative. The BD4BC Initiative is designed to (1) empower the public with information and tools to make the sharing of health care data understandable and easy to do, (2) address challenges of incorporating big data applications into breast cancer research and clinical care and (3) use big data to fuel scientific discoveries and accelerate the delivery of equitable, patient-focused care. A primary goal is to increase the participation of diverse populations in research studies associated with this Initiative.

What You Will Bring to the Table:

  • Work closely with Clinical Research Data Manager to support the use of Komen’s research data repository by a variety of researchers to fuel breast cancer research and discovery.
  • Work with Clinical Research Data Manager, advisors, and/or external researchers, to explore, mine, process, aggregate/curate and visualize datasets from the registry and/or other sources. Reorganize data in a format that can be easily read. Filter and prepare data for use by researchers.
  • Perform complex analyses and apply statistical tools and data science methods to interpret data sets and extract trends and patterns that could be valuable for assembling cohorts, hypothesis generation, predictive analytics, and trouble-shooting.
  • Create appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary
  • Work collaboratively with appropriate business units and engineering teams to provide feedback on long term data platform architecture, process improvements, and data-related policies, procedures and governance.
  • Work with vendors, as directed, to facilitate efficient data collection and processing and ensure quality deliverables are received
  • Assist with the management of data requests/research proposals, as needed.
  • Work closely with Clinical Research Data Manager to monitor progress toward milestones, objectives and outcomes related to the participation in and use of Komen’s breast cancer research registry.
  • Query data, tabulate summary statistics and create visual representations (charts, graphs and other methods) to effectively describe the registry (including its participants, research data, uses) and communicate trends and patterns in datasets.
  • Create reports and other materials as instructed to ensure internal and external stakeholders are apprised of progress and impact.
  • Provide subject matter expertise to develop, implement, and maintain databases, data collection systems, data analytics and other strategies that optimize data collection, data quality and data use to accomplish programmatic goals. Provide support and expertise to other research projects and BD4BC programs as needed.
  • Perform all other duties as assigned.

We Already Know You Will Also Have:

  • Demonstrated technical expertise regarding data models, database design, data mining and segmentation techniques, including coding skills in languages such as SQL, Python and/or R; spreadsheet tools such as Microsoft Excel or Google Sheets; and data visualization software such as Tableau, PowerBI, or Qlik. Mathematical and statistical skills are also valuable to help gather, measure, organize, and analyze data.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Knowledge of the healthcare industry, with an emphasis on the use of health data and of technology in health care.
  • Adept at queries, report writing, and presenting/communicating findings. Ability to communicate complex ideas in a clear and straightforward manner, while also considering interpretation of the written communication
  • A team-oriented attitude, strong cross-functional collaboration skills and proven ability to work in a matrixed, global organization with remote staff.
  • Self-motivated and willing to take responsibility and ownership for timely and high-quality work. Ability to follow instructions and execute plans. Proven ability to manage multiple projects simultaneously.
  • High degree of professionalism, maturity, executive presence, business understanding and confidentiality.

Work Experience: 2 – 5 years

Education: Bachelor’s Degree: Mathematics, Statistics, Economics, Finance, or Computer Science

Preferred experience includes:

  • Expertise in applying data science methods and working with health data.
  • Experience working with disparate datasets and/or data from diverse communities, particularly those underrepresented in research.
  • Experience working as data analyst on clinical, health research, and/or scientific projects.
  • Experience working with data from multiple data sources, including patient registries, state or federal agencies, health care programs and/or Medicare or Medicaid is a plus
  • Familiarity with database/CRM software (Salesforce), survey software (Qualtrics), and/or collaboration/project management tools such as Asana preferred.
  • Advanced level of computer/technical skills, including proficiency with coding languages (SQL, Python and/or R), spreadsheet tools (Microsoft Excel, Google Sheets) and visualization software (Tableau, PowerBI, or Qlik).

Travel requirements required outside of your office will be less than 25% or more depending on our business needs.

So what’s in it for you?
Komen believes in the importance of taking care of our employees so that in turn they can be committed to supporting our critical mission to support those impacted by breast cancer and to help find cures. That is what Komen provides away from the computer:
Competitive salary $55K-$65K, exact compensation may vary based on skills, experience, and location.

  • Health, dental, vision and a retirement plan with a 6% employer match
  • Generous Paid Time Off Plan
  • Flexible work arrangement in a fully remote working environment
  • Bi-weekly work from home stipend
  • Parental leave
  • Tuition Reimbursement
  • A culture of learning and development
  • And so much more!

Susan G. Komen is fair and equal in all of its employment practices for persons without regard to age, race, color, religion, gender, national origin, disability, veteran status or sexual orientation. Additionally we embrace Diverse Teams & Perspective and we find strength in the diversity of cultural backgrounds, ideas, and experiences.