About Us:

The Wyss Institute’s mission is to transform healthcare and the environment by emulating the way nature builds. We harness the imagination of academia and the focus of industry to translate ground-breaking technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love challenges. For more information discover our technologies, catch up on our recent news, or watch our latest videos.


About You:

You are a collaborative, impact-focused problem solver who wants to be part of a dynamic team dedicated to creating and commercializing novel approaches to global challenges in healthcare and sustainability. You want the opportunity to explore your scientific interests and apply your knowledge to tackle ambitious projects in a fast-paced, entrepreneurial-minded environment with resources and support from top-notch scientific, operations, and administrative professionals. You enjoy working with highly motivated, diverse teams and leveraging your expertise to create innovations that can change the world.


About the Role:

Reporting to the Scientist II, you will support computational discovery efforts for an exciting new scientific program focused on elucidating how spaceflight affects human health and blood cell development using human Organ Chips. You will use existing technologies and develop new approaches in the areas of multi-omics analyses as well as statistical and machine learning models. In collaboration with computational and experimental teams within the Wyss and external partners, you will develop hypotheses, interpret data, and advance project goals related to understanding spaceflight-induced changes to human biology. As a member of the Advanced Technology Team (ATT), you will be exposed to many different technologies ranging from therapeutics and diagnostics to synthetic biology and materials science to identify ambitious solutions to problems of global importance and turn these solutions into new products.


What you'll do:

Develop, use, and evolve computational pipelines, for:
Analysis of bulk and single cell RNA-sequencing and proteomics datasets
Statistical and complex network models
Machine learning
Present key results to project teams and stakeholders
Mentor lab colleagues, including students, technicians, and post-docs and provide project feedback
Support diverse data analysis methods and the use of existing computational tools in the Wyss portfolio.
Engage in existing collaborations with external research groups and cloud computing partners to meet project objectives
Work closely with cross-functional team members to develop hypotheses, interpret data, and advance project goals related to therapeutics development
Contribute to grants, publications, and patent applications
Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.

What you'll need:

A Bachelor's degree is required in biomedical engineering, data science, or related field.
A minimum of 4 years of experience in computational biology.
Advanced education may count towards years of experience.
Experience with computer programming, such as R and/or Python. is required.


Desirable Skills:
Full time post graduate industry experience with a focus on product development is preferred.
M.S. or Ph.D. in biomedical engineering, data science, or related fields is strongly preferred.
Experience working with multi-omics datasets, such as bulk and single cell RNA sequencing, proteomics, and metabolomics.
Proficiency in R and Python coding languages.
Experience using high performance and/or cloud computing platforms.
Experience developing/applying statistical models and/or machine learning tools.
Prior experience in space biology, radiation biology, or hematology is a plus.
Experience using SQL and Shiny coding languages is a plus.
Ability to work well independently and to collaborate with a multidisciplinary group (engineers, biologists/physiologists, clinicians).
Experience in the preparation of technical reports, journal articles, and presentations.
Experience in authoring and critically reviewing technical documents, study protocols, and reports related computational biology and/or statistics.
Excellent written and verbal communication skills, documentation skills, and attention to detail, with the proven ability to work effectively as a multidisciplinary team member.
Excellent organizational skills, technical writing, record keeping, ability to manage multiple projects, and ability to be nimble and work in a fast-paced environment are crucial.
The successful candidate will be an ambitious self-starter, have a strong work ethic, be able to generate high-quality work under tight deadlines and enjoy working in a fast-paced team environment.