Bioinformatics Analyst II

3 weeks ago

Cambridge, United States Planet Pharma Full time

-1 year contract, pay $41/hr


Position Overview:


The successful candidate will play a critical role in analyzing internal datasets and advancing our mission to identify novel therapeutic targets for autoimmune and chronic inflammatory diseases.


Key Responsibilities:


· Perform advanced analysis of high-dimensional proteomics data, including CyTOF, Flow Cytometry, and MS, to generate actionable insights into disease mechanisms.


· Help develop and optimize computational workflows and pipelines for processing, analyzing, and interpreting proteomics datasets.


· Perform image-based quantification of proteins using IMC, focusing on spatial distribution and co-localization of immune cells and other tissue components in situ.


· Collaborate with multidisciplinary teams, including immunologists, data scientists, and biologists, to interpret proteomics data and translate findings into preclinical and clinical research applications.


· Present complex analytical approaches and results to both technical and non-technical stakeholders, effectively communicating the scientific rationale and implications.


Skills and Qualifications:


- Education:


M.S. in bioinformatics, computational biology, proteomics, biochemistry, or a related field.


- Technical Expertise:


· Proficiency in programming languages such as R and Python, and experience working in Unix/Linux environments.


· Knowledge of statistical methods and machine learning techniques applicable to the analysis of large-scale proteomics datasets.


- Preferred Skills:


· Experience with computational methods for protein quantification, identification of post-translational modifications, and protein-protein interaction network analysis.


· Familiarity with CyTOF, spatial CyTOF (IMC), and Flow Cytometry data analysis techniques is desirable.


· Expertise in proteomics data analysis, including Mass Spectrometry (MS)-based proteomics, and familiarity with related software tools or other proteomics data analysis platforms.


· Strong communication skills with the ability to present complex data to both scientific and non-scientific audiences.


· A proactive and collaborative approach to problem-solving in a dynamic, fast-paced research environment.


· Ability to manage multiple projects simultaneously and adapt to changing priorities.


· Contribute to the preparation of scientific publications, presentations for conferences, and regulatory submissions (if any).


- Key Competencies:


· Demonstrated ability to work independently while contributing effectively to multidisciplinary teams.


· Organizational skills with the capacity to manage competing priorities and deliver high-quality work within deadlines.


· Commitment to continuous learning, innovation, and staying current with the latest developments in proteomics and computational biology.

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