Data Scientist II
Company: Spelman College
Location: Atlanta
Posted on: March 30, 2025
Job Description:
and the job listing Expires on April 4, 2025We seek a talented
and highly motivated Data Scientist to join our expanding Spatial
omics team within the Discovery Immunology Pathology group. The
successful candidate will develop and apply computational methods
for the analysis of image-based spatial omics datasets, including
the integration of multi-modal omics data and data interpretation
in order to derive novel biological insights, identify disease
biomarkers and new therapeutic targets. The successful candidate
will be part of a unique multidisciplinary team working closely
with pathologists, image analysts, and research scientists across
the organization in a highly dynamic and collaborative environment
to support pathology driven spatial omics projects that contribute
to innovative drug discovery research.Responsibilities:
- Design, develop and implement computational pipelines for
processing and analyzing spatial omics datasets, including spatial
transcriptomics and proteomics.
- Collaborate with pathologists and image analysts to develop
methods to integrate and analyze spatial transcriptomics data with
other spatial modalities, such as IHC or mIF
- Collaborate with pathologists to validate spatial analysis
tools in the context of tissue structure to ensure accuracy and
reproducibility
- Ensure scalability and efficiency of the pipelines to handle
large and complex datasets
- Lead the development of data visualization tools to effectively
communicate findings to both technical and non-technical
stakeholders.
- Stay current with emerging trends and technologies in spatial
omics and bioinformatics and assess their applicability to ongoing
projects.
- Generate concise reports and accurately document project
details, algorithms and results in electronic laboratory
notebookRequirements:
- Ph.D. (or equivalent experience) in Computational Biology,
Bioinformatics, Systems Biology, or a related field. Background in
life sciences or experience in the pharmaceutical industry
preferred.
- Strong proficiency in programming languages such as Python, R,
or MATLAB, and relevant data science libraries (such as NumPy,
Pandas, Matplotlib, Scikit-learn, etc.) for data analysis,
manipulation, and visualization.
- Experience with bioinformatics tools and databases, especially
those pertinent to omics data analysis such as Squidpy or
Scanpy
- Excellent analytical, problem-solving, and communication
skills.
- Ability to work independently and as part of a team, managing
multiple projects simultaneously.
- Familiarity with digital pathology image analysis platforms
(Viso pharm and Qu path) and spatial omics analytic platforms (Bio
Turing).
- Experience with machine learning frameworks and data
visualization tools.
- Familiarity with cloud-based (AWS) and high-performance
computing environments.
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Keywords: Spelman College, Atlanta , Data Scientist II, Other , Atlanta, Georgia
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