{"id":2559429,"url":"https://alion.io/job/merck-co-associate-scientist-post-doc-fellow-immunology-analytics","title":"Associate Scientist, Post Doc Fellow- Immunology Analytics","company":{"id":3768,"name":"Merck & Co.","domain":"msd.com","url":"https://alion.io/company/msd","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":191,"ghost_share":0.026,"stale_share":0.105,"repost_share":0.173,"time_to_fill_p50_days":16,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":82000,"max":92000,"currency":"USD","period":"year","gross":null,"usd_annual":92000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Single-Cell Sequencing","optional":false}],"status":"closed","first_seen_at":"2026-10-14T20:13:10Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-27T11:13:17Z","board_verified":false,"closed_at":"2026-10-27T11:13:17Z","days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Job Description\nPostdoctoral Research Fellow, Single-Cell and Spatial Transcriptomics in Immune-Mediated Inflammatory Diseases\nWe are seeking a highly motivated Postdoctoral Research Fellow to join a cross-functional translational research team focused on understanding the cellular and tissue mechanisms underlying chronic immune-mediated inflammatory diseases. The successful candidate will leverage large-scale single-cell and spatial transcriptomics datasets from human tissue cohorts to identify disease-driving cellular programs, tissue microenvironments, and translational biomarkers.\nThis position offers a unique opportunity to work at the interface of computational biology, immunology, spatial genomics, and translational medicine while contributing to high-impact research programs spanning multiple therapeutic areas. The project aims to transform emerging multi-omics datasets into biological insights, biomarker hypotheses, disease-mechanism models, and translational strategies relevant to immune-mediated inflammatory diseases, including hidradenitis suppurativa (HS) and related disorders.\nCareer Development Opportunities\nThe fellow will:\nReceive mentorship from experts across computational biology, immunology, translational medicine, and drug discovery.\nPublish first-author manuscripts in leading scientific journals.\nPresent at major international scientific conferences.\nDevelop expertise in cutting-edge single-cell, spatial, and multi-omics technologies.\nBuild a strong interdisciplinary network across academia and industry.\nGain experience translating complex biological datasets into actionable therapeutic insights.\nScientific Impact\nThe successful candidate will contribute to the development of comprehensive cellular and spatial atlases of chronic immune-mediated inflammatory diseases, generating insights into disease circuits, tissue microenvironments, biomarker biology, and translational mechanisms. The work is expected to result in multiple high-impact publications and presentations while providing foundational knowledge to support therapeutic discovery and development.\nThis research will help advance our understanding of how cellular programs and tissue organization contribute to disease pathogenesis and therapeutic response, enabling more precise approaches to target discovery, biomarker identification, and patient stratification.\nResearch Objectives\nThe postdoctoral fellow will lead three interconnected research areas:\nBuild Cellular Atlases of Immune-Mediated Inflammatory Diseases\nDevelop comprehensive single-cell transcriptomic references from diseased and comparator tissues.\nIdentify disease-associated immune, epithelial, stromal, and vascular cell states.\nHarmonize and annotate cellular populations across cohorts and studies.\nCharacterize molecular pathways and regulatory programs that drive disease heterogeneity.\nDefine shared and disease-specific cellular mechanisms across inflammatory conditions.\nDefine Spatial Tissue Niches and Cellular Interactions\nAnalyze spatial transcriptomics datasets to localize disease-associated cell states within tissue architecture.\nCharacterize cellular neighborhoods and multicellular interaction networks in situ.\nIdentify tissue microenvironments associated with inflammation, remodeling, fibrosis, and disease progression.\nDevelop computational frameworks for spatial niche discovery and tissue organization analysis.\nIntegrate spatial and single-cell datasets to generate mechanistic hypotheses regarding disease biology.\nMechanism of Action and Biomarker Discovery\nEvaluate target expression and pathway activity across cellular and spatial contexts.\nIdentify biomarkers associated with disease biology, therapeutic response, and patient stratification.\nCharacterize disease endotypes and molecular signatures linked to clinical heterogeneity.\nIntegrate multimodal datasets to construct disease-mechanism and translational biology models.\nGenerate hypotheses supporting therapeutic target evaluation and precision medicine approaches.\nKey Responsibilities\nAnalyze large-scale single-cell RNA-seq, spatial transcriptomics, and related multi-omics datasets.\nDevelop and implement computational methods for data integration, annotation, and interpretation.\nApply advanced bioinformatics, statistical modeling, machine learning, and network biology approaches.\nIntegrate transcriptomic, spatial, proteomic, and clinical data to generate biological insights.\nCollaborate closely with immunologists, translational scientists, clinicians, and computational researchers.\nLead publication-quality analyses and prepare manuscripts for peer-reviewed journals.\nPresent findings at internal scientific forums and external conferences.\nContribute to the development of innovative analytical methods and reusable computational resources.\nCollaborate across Data, AI and Genome Sciences (DAGS), Immunology Discovery, and Translational Medicine teams.\nQualifications\nEducation Minimum Requirement:\nMust currently hold a PhD OR\nReceive a Ph.D. no later than spring 2027\nPh.D. in Computational Biology, Bioinformatics, Systems Biology, Genomics, Computer Science, Statistics, or a related discipline.\n\nRequired Skills and Experience:\nStrong programming skills in R and/or Python.\nExperience analyzing large-scale genomics or multi-omics datasets.\nHands-on experience with GPU computing, HPC clusters, and AWS cloud environments for large-scale single-cell and spatial omics analyses.\nAbility to develop and optimize scalable computational pipelines for scRNA-seq, spatial transcriptomics, and multimodal biological data.\nDemonstrated publication record in computational biology, genomics, immunology, or related fields.\nStrong scientific communication, presentation, and collaborative skills.\n\nPreferred Skills and Experience:\nSingle-cell omics analysis workflows (e.g., Seurat, Scanpy, scVI, CellChat, MultiNicheNet, or related tools).\nSpatial transcriptomics platforms such as Xenium, CosMx, Visium, MERFISH, or related technologies.\nBackground in immunology, inflammatory diseases, tissue biology, or translational research.\nMachine learning, network analysis, systems biology, or multimodal data integration.\nFamiliarity with cloud computing and high-performance computing environments.\nWorking with large-scale human cohort datasets.\npostdoctoralopportunities\nThe salary range for this role is: $82,000-$92,000\nThis is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.\nThe successful candidate will be eligible for annual bonus and long-term incentive, if applicable.\nWe offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.\nRequired Skills:\nBioinformatics, Biomarkers, Disease Research, High Performance Computing (HPC), Machine Learning, Researching, Signaling Pathways, Systems Biology, Transcriptomics, Translational MedicinePreferred Skills:\nCurrent Employees apply HERE\nCurrent Contingent Workers apply HERE\nUS and Puerto Rico Residents Only:\nOur company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.\nAs an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. Asa federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:\nEEOC Know Your Rights\nEEOC GINA Supplement\nWe are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.\nLearn more about your rights, including under California, Colorado and other US State Acts\nSan Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance\nLos Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance\nSearch Firm Representatives Please Read Carefully\nMerck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.\nEmployee Status:\nRegularRelocation:\nDomesticVISA Sponsorship:\nYesTravel Requirements:\n10%Flexible Work Arrangements:\nNot ApplicableShift:\nNot IndicatedValid Driving License:\nNoHazardous Material(s):\nN/AJob Posting End Date:\n10/26/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. 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