ASPIRE Internship: Decode Health, Inc., Data Science Intern (Computational Biology/Data Science), Remote
ASPIRE InternshipOpportunity
Data Science Intern (Computational Biology/Data Science)
Decode Health, Inc.
(remote) Nashville, TN
Reports to:
- Mahesh Rao, PhD, Data Scientist
Decode Health
Decode Health is a healthcare AI company that unlocks discovery with data. Our fast, accurate, and scalable approach leverages a decade of experience using machine learning tools. Today, we partner with industry-leading pharma, diagnostics, and technology companies to accelerate precision medicine R&D. Decode’s data platform leverages deep know-how across genomics, clinical data, social determinants of health, and other healthcare data sources to bring actionable insights into focus quickly.
Position Description:
At Decode Health, we seek a creative, highly motivated Data Science Intern (Computational Biology/Data Science) to join our team building machine learning approaches to detect, monitor, and predict a wide range of chronic and infectious disease outcomes. Various data sources will be leveraged, including genomic data from peripheral whole blood, social determinants of health information, and population-level datasets ranging from de-identified electronic health records to insurance claims.
Specific Objectives/Tasks:
- Contribute to the ongoing development of analysis pipelines leveraging Decode’s existing framework to perform descriptive and predictive studies using genomic and population health data. The ideal candidate will be able to lead or contribute to the following objectives within both companies:
- Visualization Discovery: Pre-modeling (raw) and post-model results data visualization, storytelling, and report development for multiple data use cases and patient populations. Current disease focus areas include acute infections and chronic inflammatory and neurodegenerative conditions.
- Recurring activities: Collaboration to enhance standard visualization processes and refreshed client reporting
- Process refinement: Providing input to further refine the Decode multi-tool analysis pipeline
- New data research: Identifying novel enrichment datasets, validation of source information, and implementation of these data sources into the automated framework
- Applicants can use the AutoML framework at Decode to construct predictive models. Using R/Python or similar software packages to supplement or enhance ongoing analysis efforts is welcomed. Examples could include the development of feature selection algorithms or novel methods to enhance prediction explanation results beyond what is currently possible with the existing computational pipelines.
- Communicate findings to the Decode R&D team and leadership to ensure the successful implementation of projects alongside Decode customer relationships and ongoing business development efforts.
- Participate in weekly data team interactions.
Desired Skills and Experience:
- Applicants must be current Vanderbilt University Ph.D. students or postdoctoral fellows.
- Candidates with >2 years of computer programming experience are preferred. Research projects leveraging this expertise should be highlighted on the submitted resume.
- Familiarity with machine learning methods (SVMs, boosting methods, etc.). Applicants should highlight relevant knowledge of these platforms on their resume.
- Applicants must have a strong grasp of English in spoken and written form.
- Applicants must submit and pass a background check and sign Non-Disclosure and Non-Compete Agreements with Decode Health.
Work Environment:
This will be a virtual position. Decode Health’s offices are located behind Union Station in downtown Nashville.
Decode Health offers a fast-paced, dynamic work environment that affords significant flexibility. Therefore, employees at both companies need to be highly self-motivated and proactive at identifying and taking responsibility for tasks. Extension of an internship offer implicitly implies that we consider an individual capable of thriving in such a versatile and unique work environment.
Internship Details
- Internship start date is flexible. Candidates will be evaluated on a rolling basis. Estimated start date will be March 2024 continuing through June 2024 (approx. 16 weeks, with the option to extend pending review).
- Internship is paid, part-time (8-10 hours per week).
Applications will be accepted on a rolling basis until position is filled.
- Fill out the following ASPIRE Internship Application found here: https://redcap.link/ASPIREInternship_Application
- Submit a resume and any relevant writing samples or documentation projects you’ve been involved with attached at the end of the resume, and cover letter at the RedCap link above. Please submit documents as pdfs with your last name_Decode_2024 in the file name)
- Set up a meeting with Angela Zito at (angela.zito@vanderbilt.edu) prior to the application deadline.
Your information will then be passed along to the organization who will contact you directly to schedule an interview.
For further questions, please contact Angela Zito (angela.zito@vanderbilt.edu) or Ashley Brady (ashley.brady@vanderbilt.edu).
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Please review ASPIRE Internship FAQs: Found here
For further questions, please contact Ashley Brady (ashley.brady@vanderbilt.edu).
Eligibility requirements
- Applicants must be a current Vanderbilt University PhD student or a current postdoctoral fellow.
- All PhD students must have completed all coursework for their degree prior to the start of the internship.
- Biomedical PhD students must also have passed their qualifying exams before the application deadline.
- Students and postdocs may not participate in more than one internship at a time. More than one application may be submitted at a single time, but only one position can be accepted.
- If you are not in a department supported by the BRET office, we will also require that you complete a form guaranteeing PI approval to participate in this program. Please contact Ashley Brady at ashley.brady@vanderbilt.edu for more information.
- If you are an international student or postdoctoral fellow, your visa status may affect your work eligibility. Please contact Ashley Brady (ashley.brady@vanderbilt.edu) to discuss this further.
- Must be authorized to work in the US