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Data Scientist II
100 Research Dr. Worcester, MA 01605 US
Job Description
Target PR Range: 55-65/hr
*Depending on experience
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.
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:
· 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
Equal Opportunity Employer: We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert: Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
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