Partner closely with computational and medicinal chemists on Discovery Chemistry project teams to address challenging structure-activity relationships and multi-parameter optimization
Develop and deploy specialized informatics workflows for non-traditional modalities (cyclic peptides, macrocycles) and DNA-Encoded Library platforms, including combinatorial enumeration, selection data triage, and hit prioritization
Design, validate, and implement scalable cheminformatics and machine learning pipelines for predictive property modeling, virtual screening, and chemical library triage
Lead the vision, strategy, and execution of high-impact products that shape our revenue engine and deliver a "WoW Experience" for millions of merchants and consumers daily.
Compensation
Annual salary paid in 12 installments (monthly)
Responsibilities
Lead the end-to-end planning, scoping, and successful market launch of high-impact features aimed at monetization and value creation.
Deep dive into user data and market analytics to diagnose user pain points, formulate hypotheses, and build robust product proposals that directly drive key KPIs.
Create platform products that scale, making high-level technical architecture and UI/UX decisions with a long-term architectural view.
Write technical PRDs, identify and fill product gaps, and work closely with engineering and design teams to execute the product roadmap predictably and on time.
Act as the central bridge between diverse business units—including Business Development, Sales, Legal, Compliance, and Data Science—to align priorities and clear roadblocks.
Requirements
Bachelor's degree in a technology-related field or equivalent
Nice to have: Master's degree in a technology-related field
Nice to have: Hands-on experience with AI-driven features
Nice to have: Business-level proficiency in Japanese
Lead data science initiatives for Pharmacy Benefit Manager (PBM) operations, driving efficiency and growth through advanced analytics, predictive modeling, and generative AI.
Compensation
$79,310.00 - $173,040.00
Responsibilities
Design, build, and validate data science solutions including generative AI pipelines and predictive models
Manage end-to-end delivery from data extraction to production deployment and monitoring
Extract, curate, and analyze large-scale operational data using SQL and Python
Translate complex modeling outputs into clear business narratives for clinical and business leadership
Requirements
Bachelor's degree in Computer Science, Statistics, Mathematics, Analytics, Engineering, or related quantitative field
Master's degree in a quantitative field or MBA preferred
Support EDPR’s global fleet of generating assets by detecting, reporting, and documenting potential future failures in wind turbines, solar panels, BESS, and other electric systems using condition monitoring and data analytics.
Responsibilities
Detect potential failures using EDPR’s corporate condition monitoring tools to analyze operational data
Communicate clear inspection and repair recommendations to the site managers and technicians
Communicate each finding to the site personnel using the EPDR tools
Provide remote support to site personnel to ensure recommendations are addressed correctly and within the appropriate time
Report the results of the inspection feedback and relay decisions of replacing/repairing the component, material, system, etc.
Requirements
Bachelor’s degree in engineering (Mechanical or a related field)
Master’s preferred
Nice to have: Familiarity with planetary gearboxes, generators, solar, BESS, and/or power generation and conversion equipment
Nice to have: Familiarity with rotating equipment reliability and lubrication
Own core backend infrastructure that processes complex clinical and financial workflows, helping bring new capabilities into reliable production systems.
Compensation
Base salary: $160,000 to $200,000 annually. Visa sponsorship is not available.
Responsibilities
Build and scale distributed backend systems for chart processing, claims, authorizations, denials, and payer and provider integrations
Develop browser and computer-use automation to navigate medical record software and payer portals
Design reliable systems to process scanned charts, PDFs, structured claims, unstructured notes, and operational data at scale
Build orchestration, queuing, retry, and observability infrastructure for long-running workflows across healthcare systems
Partner with research and product engineers to put clinical intelligence capabilities into production and establish engineering patterns
Requirements
Degree in computer science, mathematics, or a related field
Analyze, design, code and test multiple components of application code across one or more clients, perform maintenance, enhancements and/or development work, and lead process improvements.
Responsibilities
Analyze client requirements and design effective solutions
Code and test multiple components of application software
Perform maintenance and enhancements to existing applications
Collaborate with multiple teams and stakeholders
Lead efforts to identify and implement process improvements
Applied Scientist focused on developing and optimizing language model-powered conversational experiences for Alexa for Shopping.
Responsibilities
Develop and maintain LLM agents, including automated evaluation pipelines, LLM-as-a-judge methodologies, rubric design, and dataset curation.
Experiment with techniques such as retrieval augmentation, context enrichment, prompt decomposition, and model fine-tuning or post-training strategies.
Lead post-training of small language models to deliver low-latency conversational and shopping experiences.
Apply applied machine learning and deep learning techniques to improve ranking, relevance, personalization, and multimodal understanding.
Design and evaluate agentic architectures that balance diverse shopping use cases.
Requirements
Master's degree or above in computer science, machine learning, engineering, or related fields
Nice to have: PhD in computer science, machine learning, engineering, or related fields
Nice to have: Machine Learning and Large Language Model fundamentals
Establish robust, automated computational tools and data pipelines that bridge internal chemical data platforms and modern modeling frameworks
Maintain an active external scientific presence through publications, conference presentations, and community engagement, while mentoring junior staff, interns, and co-ops
Requirements
Ph.D. in Cheminformatics, Computational Chemistry, Chemistry, Computer Science, Bioinformatics, or a related quantitative discipline
M.S. degree with 4+ years of relevant industry/research experience
Nice to have: computational design of cyclic peptides, macrocycles, or non-canonical peptide representations
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