{"id":1571358,"url":"https://alion.io/job/merck-co-post-doc-fellow-immunogenicity-prediction","title":"Post Doc Fellow-Immunogenicity Prediction","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":99,"open_postings":149,"ghost_share":0.02,"stale_share":0.101,"repost_share":0.161,"time_to_fill_p50_days":15,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["West Point, 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":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-30T09:57:52Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"Job Description\nThe Computational Toxicology group within Nonclinical Drug Safety (NDS) seeks a Postdoctoral Fellow to advance AI/ML and structure-based approaches for immunogenicity prediction in biologic and peptide therapeutics. The successful candidate will develop next-generation computational methods combining protein structure modeling, immunoinformatics, and multimodal machine learning to improve prediction of biologically relevant immune responses. This is a publication-oriented, two-year fellowship with strong mentorship and extensive cross-functional and external academic collaboration. The Fellow will publish first-author manuscripts, present at scientific conferences, and help establish reusable, well-documented computational capabilities for translational safety assessment.\nKey responsibilities:\nCurate, integrate, and harmonize biological, structural, and clinical datasets from public and internal sources into reproducible analysis workflows.\nDevelop computational methods for immunogenicity prediction by integrating sequence, structural, and experimental data.\nApply structure-based modeling and simulation approaches to characterize biomolecular interactions and conformational behavior relevant to immune recognition.\nBuild and benchmark multimodal machine-learning models that combine sequence, structural, and tabular data into robust, calibrated predictors.\nEvaluate model performance against established approaches and assess generalizability across therapeutic modalities.\nContribute to first-author manuscripts and scientific presentations at internal forums and external conferences.\nCollaborate with computational, biology, and experimental scientists, and deliver reproducible, well-documented code, analyses, and models.\nEducational Requirements:\nMust currently hold a PhD OR\nReceive a Ph.D. no later than spring 2027\nPh.D. in computational immunology, computational biology, computational chemistry, structural biology, bioinformatics, or a closely related field.\nRequired Experience and Skills:\nStrong hands-on experience with co-folding models (e.g AlphaFold2/Boltz2), multimer modeling, or related structure-based computational methods.\nExperience with molecular dynamics simulation and analysis of biomolecular systems, complexes, or conformational behavior.\nStrong software development skills in Python and modern deep-learning frameworks such as PyTorch, with sound practices in version control, reproducibility, and scientific computing.\nWorking knowledge of immunology relevant to immunogenicity prediction, including antigen processing and presentation, MHC / HLA biology, CD4⁺ T-cell recognition, and anti-drug antibody (ADA) responses.\nComfort working in HPC / GPU and cloud computing environments.\nExcellent scientific communication skills and a strong first-author publication record.\nPreferred Experience and Skills:\nExperience applying computational methods to immunology, structural biology, or protein science problems.\nFamiliarity with antigen processing and presentation, MHC/HLA biology, or related immune recognition concepts.\nExperience with data integration, biological dataset curation, and programmatic workflows using public resources and APIs.\nFamiliarity with uncertainty quantification, model calibration, and rigorous benchmarking.\nFamiliarity with biotherapeutic developability, protein engineering, or related optimization concepts.\nExposure to immunoinformatics, peptide modeling, or related predictive methods is a plus.\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:\nBiological Data Analysis, Biology, Biomolecular Interactions, Computational Biology, Immunology Research, Machine Learning, Programming Languages, Protein Analysis, Protein Interactions, Scientific PresentationsPreferred 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:\n10/12/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. 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