job summary:
Data Scientist II
US-MA-Worcester (100 Research Drive) (S0344)Position Summary: We 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.
location: Lake Forest, Illinois
job type: Contract
salary: $60 - 71 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
Key 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 notebook
qualifications:
Qualifications:
? 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.
Preferred Qualifications:
? Familiarity with digital pathology image analysis platforms (Visopharm and Qupath) and spatial omics analytic
platforms (BioTuring)
? Experience with machine learning frameworks and data visualization tools.
? Familiarity with cloud-based (AWS) and high-performance computing environments
skills: Job Description What are the top 3-5 skills, experience or education required for this
position:
1. Experience developing analysis solutions for single-cell
transcriptomics, or mIF proteomics datasets
2. Strong proficiency in programming languages Python and R
3. Experience with Bioinformatics tools (Seurat, Scanpy, Squidpy)
4. Experience with machine learning frameworks and data visualization
tools.
5. Excellent analytical, problem-solving, and communication skills.
6.Experience with tissue-based image analysis and immunologic diseases
is preferred
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.