{"id":349309,"url":"https://alion.io/job/vertex-pharmaceuticals-computational-genomics-research-scientist","title":"Computational Genomics Research Scientist","company":{"id":5871,"name":"Vertex Pharmaceuticals","domain":"vrtx.com","url":"https://alion.io/company/vrtx","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":23,"ghost_share":0,"stale_share":0.652,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Leiden, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":112000,"max":168000,"currency":"USD","period":"year","gross":null,"usd_annual":168000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-18T07:51:35Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Job Description\nWe are seeking a Computational Genomics Research Scientist to support the development of transformative cell and gene therapies across Vertex's research portfolio. This Boston-based position is part of the global Data and Computational Sciences organization and will collaborate closely with research teams spanning stem cell biology, immunology, gene editing, and pre-clinical development to design studies, execute and analyze complex genomic analyses, and ultimately generate biological insights that drive early research across multiple disease programs. As an embedded computational scientist, you willbe responsible for performingbulk and single-cell sequencinganalyses, spatial transcriptomics, andmultiomicprofiling to help uncover the molecular programs that govern therapeutic cell identity, differentiation, function, and safety to accelerate the development of next-generation cell and gene therapies.\nThis is a Boston based, hybrid position requiring 3 days/week onsite.\nKey Responsibilities\nCollaborate closely with cross-functional research teams to identify key scientific questions that can be addressed through genomics, sequencing, and bioinformatics approaches.\nLead the application and advancement of spatial transcriptomics methods, collaborating across teams and sites to develop, implement, and share analytical best practices.\nAnalyze and integrate diverse genomic datasets, including bulk RNA-seq, single-cell profiling, spatial transcriptomics, and other multiomic datasets to generate actionable insights.\nPerform sophisticated computational analyses of sequencing and other biological data through deep critical thinking, incorporation of published findings and best practices from the field, strong statistical rigor, and data science visualizations\nDistill complex analyses and scientific results into key take-home messages and recommendations for next steps to a broad audience.\nPartner with computational and software teams to improve analytical workflows, reproducibility, usability, and robustness.\nPractice reproducible research and maintain well-documented, version-controlled analytical workflows.\nAuthor study reports and technical documentation to support research and regulatory activities.\nEvaluate emerging genomics technologies and computational methods and incorporate new approaches where appropriate.\nKnowledge and Skills:\nA proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data\nSolid scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology\nExpertise with applying computational methods and bioinformatics tools to large-scale data\nSolid understanding of statistics\nEducation and Experience:\nPh.D. in computational biology, bioinformatics, genomics, systems biology, biomedical engineering, statistics, computer science, or a related quantitative discipline, with 0-3 years of relevant postdoctoral or industry experience; or a Master's degree in a related field with 3+ years of relevant industry experience.\nDemonstrated expertise in the design, analysis, visualization, and interpretation of single-cell genomics and spatial transcriptomics experiments\nProficiency in Python and/or R for scientific computing and data analysis.\nExperience working in Linux-based high-performance computing (HPC) and/or cloud computing environments.\nStrong foundation in statistics, experimental design, and reproducible computational research.\nProven ability to derive biological insight from complex datasets and translate findings into actionable recommendations for research teams.\nExcellent communication and presentation skills, with the ability to effectively convey complex scientific findings to multidisciplinary audiences.\nDemonstrated ability to work collaboratively within cross-functional teams and contribute to a positive, team-oriented environment.\nAt Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.\nPay Range:\n$112,000 - $168,000Disclosure Statement:\nThe range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.\nAt Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.\nFlex Designation:\nHybrid-Eligible Or On-Site EligibleFlex Eligibility Status:\nIn this Hybrid-Eligible role, you can choose to be designated as: \n1. Hybrid: work remotely up to two days per week; or select\n2. On-Site: work five days per week on-site with ad hoc flexibility.\nNote: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.\n#LI-Hybrid\nCompany Information\nVertex is a global biotechnology company that invests in scientific innovation.\nVertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.\nAny applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ","description_format":"text","description_chars":6799,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Bioinformatics","Genomics & Genetic Testing","Cell & Gene Therapy","Rare Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-09-05T18:49:27Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 174 · green card filings: 21","filings_12m":174,"filings_prev_12m":187,"green_card_filings_12m":21,"median_offered_wage_usd":131423,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":22}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.443,"p_room":0.44,"age_days":51,"expected_fill_days":35,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":168000,"is_top_pay":false},"html_url":"https://alion.io/job/vertex-pharmaceuticals-computational-genomics-research-scientist","json_url":"https://alion.io/job/vertex-pharmaceuticals-computational-genomics-research-scientist.json","meta":{"generated_at":"2026-10-19T02:06:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1226,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5871},"rest":"https://alion.io/mcp/rest/get_company?id=5871"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvertex-pharmaceuticals-computational-genomics-research-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fvertex-pharmaceuticals-computational-genomics-research-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fvertex-pharmaceuticals-computational-genomics-research-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/vertex-pharmaceuticals-computational-genomics-research-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvertex-pharmaceuticals-computational-genomics-research-scientist"}]}