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Eli Lilly and Company
Eli Lilly and Company
BiotexnologiyaFarmatsevtika mahsulotlariSog‘liqni saqlash
Eli Lilly and Company retsept bilan beriladigan dori vositalarini kashf etish, ishlab chiqish, ishlab chiqarish va tijoratlashtirishga e’tibor qaratadigan ko‘p millatli farmatsevtika va sog‘liqni saqlash kompaniyasidir. Uning faoliyati diabet, onkologiya, immunologiya, nevrologiya va og‘riq kabi terapevtik yo‘nalishlarni qamrab oladi hamda tadqiqot va ishlanmalarni klinik sinovlar, tartibga solish jarayonlari, biologik va kichik molekulali dori vositalarini ishlab chiqarish hamda global tarqatish bilan birlashtiradi.
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Kompaniyadagi ish o‘rinlari

Applied AI Engineer, Clinical Informatics — Eli Lilly, Boston Onsite

Develop applied AI and machine learning capabilities for Eli Lilly’s clinical trials, biobanks, and translational medicine programs. Use clinical, molecular, and population data to characterize patient phenotypes and generate evidence for future therapeutics.

USAmerika Qo‘shma ShtatlariMAMassachusets
166 500 $ – 266 200 $ / yil
OfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutGoogle Cloud PlatformPythonSQL

Tavsif

  • Create and productionize agentic AI tools that let researchers query clinical data in natural language
  • Use biomedical ontologies, trial registries, and curated pathway resources to ground retrieval-augmented generation outputs in verified biological knowledge
  • Apply unsupervised and self-supervised methods to identify patient archetypes and molecular disease subtypes across trial and biobank datasets
  • Build survival analyses and dynamic treatment-regime estimators from integrated clinical and omics variables
  • Standardize diverse clinical-trial and biobank sources into shared data representations
  • Assess and continuously monitor model quality, safety, and operational reliability after deployment
  • Coordinate vendors, contractors, and external partners supporting Lilly research programs
  • Develop SDTM- and ADaM-based pipelines for locked trial databases used in secondary and exploratory analyses
  • Analyze completed trials for subgroup effects, treatment heterogeneity, and responder or non-responder patterns
  • Apply NLP to adverse-event narratives, clinical notes, and investigator commentary to uncover potential safety signals
  • Reconstruct longitudinal patient histories to study disease progression, treatment-response kinetics, and time-to-event endpoints
  • Design cross-study meta-analysis and integrative workflows spanning completed clinical trials
  • Use large biobank cohorts, including UK Biobank and All of Us, for external validation and data enrichment
  • Implement reproducible research operations with data version control, containerized computing, and audit-ready analysis records
  • Conduct research in accordance with HIPAA, GDPR, and applicable IRB and ethics committee standards

Talablar

  • Master’s degree in biomedical informatics, computational biology, bioinformatics, statistical genetics, epidemiology, computer science, or a related quantitative discipline, or an MD/PhD with equivalent translational data-science depth, plus at least six years of research experience using clinical-trial datasets (SDTM/ADaM), biobank data, or large population-health datasets
  • Doctoral degree in biomedical informatics, computational biology, bioinformatics, statistical genetics, epidemiology, computer science, or a related quantitative discipline, or an MD/PhD with equivalent translational data-science depth, plus at least three years of research experience using clinical-trial datasets (SDTM/ADaM), biobank data, or large population-health datasets
  • Proven experience deploying AI tools in production for clinical-data analysis
  • Advanced Python and/or R skills for machine learning and statistical modeling
  • Strong SQL proficiency
  • Experience using cloud research-computing platforms, preferably DNAnexus, AWS, Google Cloud, Azure, or high-performance computing clusters
  • Working knowledge of advanced generative-AI techniques, including LLM fine-tuning and training foundation models from the ground up
  • Experience working in high-performance computing environments
  • Comprehensive knowledge of CDISC standards, including SDTM and ADaM
  • Demonstrated application of survival analysis, causal inference, NLP, and deep learning to clinical or genomic research
  • Strong understanding of OMOP CDM, HL7 FHIR Genomics, and leading biomedical ontologies
  • Hands-on research with major public and restricted-access biobanks, including UK Biobank and All of Us
  • Experience applying federated learning, differential privacy, or secure-computation methods to multisite biomedical research
  • Peer-reviewed publication record in clinical AI, translational informatics, genomics, or a related discipline
  • Familiarity with the target-trial framework and its use with biobank data
  • Knowledge of pharmacogenomics, drug-response modeling, or clinical-trial PK/PD analysis
  • Experience building biomedical knowledge graphs, applying graph machine learning, or using ontology-based reasoning
  • Practical experience analyzing multi-omic datasets
  • Ability to comply with HIPAA, GDPR, and applicable IRB and ethics committee requirements

Imtiyozlar

  • Eligibility for a company bonus influenced partly by organizational and individual results
  • Employer-sponsored 401(k) plan
  • Pension plan
  • Vacation time
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Prescription drug coverage
  • Flexible spending options for healthcare and/or dependent care
  • Life insurance and death benefits
  • Time off and leave programs
  • Well-being support such as an employee assistance program, fitness offerings, and employee clubs and activities
  • Employee resource groups

O‘xshash ish o‘rinlari

MÜNZING CHEMIE GmbH

Sales Manager, Mid-Atlantic Specialty Chemicals

MÜNZING CHEMIE GmbH
501 – 1 000 Xodimlar
Ishlab chiqarishKimyo
USAmerika Qo‘shma ShtatlariPAPensilvaniya
110 000 $ – 130 000 $ / yil
GibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaSotuv

Lead technical sales of specialty chemical additives across the Mid-Atlantic, serving customers in coatings, adhesives, inks, and construction. Manage existing accounts while developing new business through customer visits and project-based selling.

Ochish
MÜNZING

MÜNZING Mid-Atlantic Sales Manager, Specialty Chemicals

MÜNZING
51 – 200 Xodimlar
Oziq-ovqat va ichimliklarQurilishSog‘liqni saqlash
USAmerika Qo‘shma ShtatlariPAPensilvaniya
110 000 $ – 130 000 $ / yil
MasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaSotuv

Lead territory sales for MÜNZING’s specialty chemical additives across the Mid-Atlantic, using technical project selling to develop customer relationships and close business. Manage a $3–5 million territory and build $1–2 million in near-term business potential across coatings, adhesives, inks, and construction markets.

Ochish
Proofpoint

Mid-Market Named Account Manager, Cybersecurity — Proofpoint

Proofpoint
1 001 – 5 000 Xodimlar
H1B vizasi homiysiKiberxavfsizlikKorxonaXavfsizlik
USAmerika Qo‘shma ShtatlariOROregonWAVashingtonOfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMijozlar bilan ishlash menejeriSotuv
KiberxavfsizlikSFDC

Sell Proofpoint’s cybersecurity platform to mid-market accounts in Washington or Oregon. The role covers account management, partner sales, prospecting, and complex multi-year solutions.

Ochish