Bioinformatics Analyst

Job Summary We are looking for a motivated and talented individual to join IPSI (Immune Profiling & Systems Immunology in Immunology Discovery) as a Computational Scientist. The successful candidate will work closely with stakeholders in the group to integrate the internal single cell datasets from peripheral blood mononuclear cells treated with multiple experimental conditions into a combined atlas. The role will focus on applying AI/ML and advanced computational methods to integrate large-scale single-cell transcriptomic datasets to benchmark and prioritize treatments and assess which assets reverse disease specific signatures. location: Cambridge, Massachusetts job type: Contract salary: $50 - 63 per hour work hours: 9 to 5 education: Masters Responsibilities • Build a Single-Cell Atlas: Utilize already generated single-cell datasets to build a comprehensive single-cell atlas. • Analyze Single-Cell Data: Assist in the analysis of single-cell RNA-seq data to identify disease and treatment associated regulatory networks and biomarkers. • Communicate Findings: Support the team in interpreting results and presenting scientific data to both internal and external stakeholders. • Collaborate with Teams: Work with cross-functional teams to leverage computational methods in therapeutic development. • By building the Atlas, the candidate will enable integrating single cell experiments generated via different experimental conditions into a combined atlas. This will facilitate comparison and integration of asset signatures across experiments, allowing systematic evaluation of which asset produces the most distinct, robust, or therapeutically relevant cellular responses under various stimulation and treatment paradigms. Qualifications Required Qualifications • MS degree (5+ years of experience) or PhD (0+ years of experience) in a quantitative field (Bioinformatics, Computational Biology, Computer Science, Computational Biology, or related a field). • Some experience in a relevant academic or industry setting is preferred. • Proficiency in programming languages, particularly Python, with a solid understanding of data analysis and visualization techniques. • Familiarity with omics data types (e.g., RNA-seq) and basic machine learning concepts. • Strong problem-solving skills and a desire to learn. Preferred Qualifications • Experience with Pandas, Scikit-learn, Matplotlib, Seaborn and Scanpy. • Proficiency with Git for version control and collaboration. • Hands-on experience with single-cell data analysis tools (e.g., Scanpy, Seurat, Bioconductor, or equivalent). • Exposure to multi-modal integration methods (e.g., CITE-seq, ATAC-seq, proteomics, imaging mass cytometry, spatial transcriptomics). • Knowledge of cell type annotation, clustering, and trajectory inference methods. • Experience building multi-modal AI/ML models that link transcriptomic, proteomic, and imaging data. skills: R Language, Bioinformatics 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, 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 offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. u00006475229