What are the responsibilities and job description for the Bioinformatics Analyst II position at Tellus Solutions, Inc?
Tellus Solutions is in partnership with a committed biopharmaceutical company in Cambridge focused on providing innovative therapies. Your technical expertise as a Bioinformatics Analyst II in the area of Flow Cytometry data analysis techniques will contribute to our client's innovative therapies which will impact the quality and duration of life
Job Description
Position Overview:
Education:
Job Description
Position Overview:
- Systems Immunology and Immune Profiling center (SI/IPC) team in Cambridge, Massachusetts is seeking a highly skilled contractor with expertise in bioinformatics and computational biology, with a strong emphasis on proteomics analysis, including Cytometry by Time Of Flight (CyTOF), Imaging Mass Cytometry (IMC) and Mass Spectrometry (MS).
- The successful candidate will play a critical role in analyzing internal datasets and advancing our mission to identify Client therapeutic targets for autoimmune and chronic inflammatory diseases.
- 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.
Education:
- M.S. in bioinformatics, computational biology, proteomics, biochemistry, or a related field.
- 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.
- 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).
- 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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