ai research engineer, fair chemistry

ai scientist - llms [32814] Jobs in San Francisco

ai scientist - llms [32814]

behavioral research scientist ($140,000-$160,000 + equity) at blok Jobs in San Francisco

clinical research associate Jobs in San Francisco

clinical research associate

hri researcher

molecular biology researcher

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Life Sciences AI Specialist
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $73/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Write and refine prompts to guide model behavior in the life sciences context.
 </li>
 <li>
 Evaluate LLM-generated responses to biology-related queries for scientific accuracy and reasoning quality.
 </li>
 <li>
 Conduct fact-checking using authoritative public sources and domain knowledge.
 </li>
 <li>
 Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies.
 </li>
 <li>
 Assess clarity, structure, and appropriateness of explanations for different audiences.
 </li>
 <li>
 Ensure model responses align with expected conversational behavior and system guidelines.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 PhD in Biology or a closely related life sciences field
 </li>
 <li>
 Deep expertise in Molecular &amp; Cellular Biology, Organismal Physiology &amp; Development, Microbiology, Immunology &amp; Pathobiology, or Ecology, Evolution &amp; Environmental Biology
 </li>
 <li>
 Significant experience using large language models (LLMs)
 </li>
 <li>
 Excellent writing skills to clearly explain complex life sciences concepts
 </li>
 <li>
 Strong attention to detail
 </li>
 <li>
 Experience reviewing or editing technical or academic writing
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience with RLHF, model evaluation, or data annotation work
 </li>
 <li>
 Experience teaching, mentoring, or explaining life sciences concepts to non-expert audiences
 </li>
 <li>
 Familiarity with evaluation rubrics, benchmarks, or structured review frameworks
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Molecular Biology Researcher

University of California, San Francisco

<div>
 
 Position Description
 
 
 
 
 Junior, Assistant, Associate, and Full Specialist &ndash; Chen lab
 
 
 
 The Chen lab is seeking several Junior/Assistant/Associate/Full Specialist to join our interdisciplinary team at the Weill Institute for Neurosciences on the Mission Bay campus. Our research focus is on developing cutting-edge technologies to study brain-body physiology and to design new therapies for circuit disorders. Click here for more information about our work.
 
 
 We are looking for highly motivated individuals interested in engineering of biomolecules, cells, and devices within the nervous system or understanding the neurobiology of interoception. The researcher will be involved in experiments to record and stimulate specific neurons in vitro and in vivo. Experimental responsibilities may include performing stereotaxic procedures, electrophysiology recording, animal husbandry, molecular biology (e.g., cloning, making vectors), immunohistochemistry, and other duties. The researcher is expected to contribute substantially to the preparation of papers for publication, and will have the opportunity to present ongoing work to colleagues and/or academic conferences. The specialist will also be involved with lab management duties, including overseeing supply and equipment maintenance and work with health and safety departments to ensure the lab complies with regulations and all required trainings. We are committed to your success and provide opportunities for close mentorship and guidance in research and career training.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Junior Specialist - Baccalaureate degree (or equivalent degree) in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines or at least four years of research experience, by the time of hire.
 </li>
 <li>
 Assistant Specialist - Master&rsquo;s degree in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines or a baccalaureate degree in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines with 3 or more years of research experience, by the time of hire.
 </li>
 <li>
 Associate Specialist - Master&rsquo;s degree (or equivalent degree) in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines or five to ten years of experience in the relevant specialization, by the time of hire.
 </li>
 <li>
 Full Specialist - terminal degree (or equivalent degree) in Biological/materials/electrical engineering, neuroscience, molecular biology or related disciplines or ten or more years of experience in the relevant specialization, by the time of hire.
 </li>
 <li>
 Possess excellent organizational and communication skills, both verbal and written.
 </li>
 <li>
 Demonstrate a willingness and ability to adapt and acquire new techniques and skills to align with shifting research priorities.
 </li>
 <li>
 Work both independently and collaboratively as a part of a research team.
 </li>
 <li>
 Applicants&rsquo; materials must list current and/or pending qualifications upon submission.
 
 
 </li>
 </ul>
 Click HERE to Apply .
 
 
 See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000 - $194,800.
 
 
 
 Document Requirements
 
 
 
 <ul>
 <li>
 Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
 </li>
 <li>
 Cover Letter
 </li>
 <li>
 Statement of Research (Optional)
 </li>
 <li>
 Statement of Teaching (Optional)
 
 
 </li>
 </ul>
 
 Reference Requirements
 
 
 
 <ul>
 <li>
 2-3 required (contact information only)
 
 
 </li>
 </ul>
 As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
 
 
 The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
 
 
 UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
 
 
 As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
 
 
 <ul>
 <li>
 &ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
 </li>
 <li>
 UC Sexual Violence and Sexual Harassment Policy
 </li>
 <li>
 UC Anti-Discrimination Policy
 </li>
 <li>
 APM - 035: Affirmative Action and Nondiscrimination in Employment
 
 
 </li>
 </ul>
 San Francisco, CA
</div>

Junior, Assistant, Associate, and Full Specialist – Chen lab

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Life Sciences AI Specialist 
Type: Contract 
Compensation: $73/hour 
Location: Remote
Role Responsibilities<ul><li>
Write and refine prompts to guide model behavior in the life sciences context.</li><li>
Evaluate LLM-generated responses to biology-related queries for scientific accuracy and reasoning quality.</li><li>
Conduct fact-checking using authoritative public sources and domain knowledge.</li><li>
Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies.</li><li>
Assess clarity, structure, and appropriateness of explanations for different audiences.</li><li>
Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines.</li></ul>
Qualifications
Must-Have<ul><li>
PhD in Biology or a closely related life sciences field.</li><li>
Deep expertise in Molecular &amp; Cellular Biology, Organismal Physiology &amp; Development, Microbiology, Immunology &amp; Pathobiology, or Ecology, Evolution &amp; Environmental Biology.</li><li>
Significant experience using large language models (LLMs).</li><li>
Excellent writing skills and ability to explain complex life sciences concepts.</li><li>
Strong attention to detail.</li><li>
Experience reviewing or editing technical or academic writing.</li></ul>
Preferred<ul><li>
Prior experience with RLHF, model evaluation, or data annotation work.</li><li>
Experience teaching, mentoring, or explaining life sciences concepts to non-expert audiences.</li><li>
Familiarity with evaluation rubrics, benchmarks, or structured review frameworks.</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Research Associate, Biological Sciences

UC San Francisco Academic

<div><div><h3 class="jobSectionHeader">Application Window</h3>
</div><div>Open date: March 19, 2026
</div><div>Next review date: Saturday, Apr 18, 2026 at 11:59pm (Pacific Time) 
Apply by this date to ensure full consideration by the committee.
</div><div>Final date: Sunday, Sep 19, 2027 at 11:59pm (Pacific Time) 
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
</div><h3 class="jobSectionHeader">Position description</h3>
<div><div>Faculty Position &ndash; In-Residence 
Endowed Professorship in Biocomputing, Visualization, and Informatics 
Department of Pharmaceutical Chemistry 
School of Pharmacy 
University of California, San Francisco
Position Description 
The Department of Pharmaceutical Chemistry at the University of California, San Francisco (UCSF) invites applications for a faculty member to lead the team that develops ChimeraX and to build an independent and collaborative research lab focused on the analysis and visualization of biological structures. The existing team members consist of highly experienced and talented staff with excellent interdisciplinary knowledge and specialized, state-of-the-art expertise in software engineering, computer visualization, and data science.
As a faculty member, the applicant is expected to develop a strong, grant-funded research program. Faculty members also are expected to participate in one or more of UCSF&rsquo;s 15 PhD programs in basic and biomedical sciences, including teaching courses offered by these programs and mentoring students. The successful candidate will also have the opportunity to teach in other programs in the School of Pharmacy, including the MS degree program in Artificial Intelligence and Computational Drug Discovery and Development and the Pharm.D. program.
The successful candidate must also demonstrate a record of accomplishment in developing visualization and analysis methods in support of structural biology, network biology, bioinformatics or a closely related field. Of particular interest are candidates with knowledge and expertise in developing software for visualizing molecular structures and their complexes, particularly in the context of cryo-electron microscopy or tomography. The position includes directorship of the UCSF Resource for Biocomputing, Visualization and Informatics (RBVI) and an appointment in the In-Residence series with an endowed professorship.
The RBVI and its precursor, the UCSF Computer Graphics Laboratory, has a 56-year history developing cutting-edge interactive software tools that can be applied to diverse types of biomolecular data, including atomic-resolution coordinates, 3D density maps and light microscopy data, and protein and nucleic acid sequences, annotations, and networks. These areas are critical for addressing important biomedical problems related to health care and disease treatment and prevention. The Resource focuses on the unmet software needs for basic and applied biomedical research.
The RBVI has maintained continuous NIH funding since its inception, and the exceptionally collaborative research environment at UCSF provides multiple opportunities for projects that combine complementary expertise in software tool development and discovery science research.
Salary/rank will be commensurate with the candidate&rsquo;s experience and training. UCSF seeks candidates who are committed to the mentorship of students and promoting excellence across the campus.
Required Qualifications:
<ul><li>PhD degree or equivalent</li>
<li>Strong record of publications in the field of structural biology, network biology, bioinformatics or a closely related area</li>
<li>Computer programming skills</li>
<li>Excellent communication skills
</li></ul>Preferred Qualifications:
<ul><li>Experience in teaching</li>
<li>Demonstrated track record of developing open-source visualization software</li>
<li>Experience conducting research with multidisciplinary research teams</li>
</ul>
Application Requirements:
<ul><li>Curriculum Vitae</li>
<li>Cover Letter</li>
<li>Statement of Research, including accomplishments and future plans (~4 pages)</li>
<li>Statement of prior teaching experience, if applicable</li>
<li>3 to 6 reference contacts</li>
</ul>
Compensation 
The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5 The minimum base salary range for this position is $121,900-$319,800. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation.
Apply online.
</div></div>
<h3 class="jobSectionHeader">Application Requirements</h3>
<div><div>Document requirements
<ul><li><div>Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
</div></li><li><div>Cover Letter
</div></li><li><div>
Statement of Research - Statement of Research, including accomplishments and future plans (~4 pages)
</div></li><li><div>Statement of Teaching - Statement of prior teaching experience, if applicable
 
(Optional)
</div></li></ul>
</div><div><div>Reference requirements</div><ul><li>
3-6 required (contact information only)</li></ul></div>
</div><h3 class="jobSectionHeader">About UC San Francisco</h3>
<div>
<div>As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
<div>As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. 
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.</li><li>UC Sexual Violence and Sexual Harassment Policy</li><li>UC Anti-Discrimination Policy</li><li>APM - 035: Affirmative Action and Nondiscrimination in Employment
</li></ul></div></div></div><h3 class="jobSectionHeader">Job location</h3>
<div>San Francisco, CA</div></div>

Faculty Position – In-Residence

AI Research Engineer, FAIR Chemistry

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Locations: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN 
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation &amp; Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities&mdash;serving both human scientists and autonomous AI agents.
Position Summary
We are seeking an Engineer - MLOps &amp; Scientific Platforms - Data Foundry to operationalize Data Foundry&rsquo;s scientific tools and analytical methods into actionable-prototypes. You will build the ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails that make our scientific discovery methods and tools reliable, scalable, and consumable, both by discovery scientists and by the Frontier AI group&rsquo;s autonomous agents.
This role sits at the interface between Methods4Insight (which develops analytical methods) and Architecture4Insight(which provides the agile data infrastructure). Your job is to ensure every scientific tool Data Foundry produces are analytics-ready, well-monitored, and exposed through APIs with the response-time guarantees and error handling that both human users and AI agents require.
Responsibilities<h2 class="jobSectionHeader">
MLOps &amp; Model Lifecycle Management</h2><ul><li>
Build and maintain end-to-end ML deployment pipelines: experiment tracking, model versioning (MLflow, Weights &amp; Biases), containerized model serving, and automated retraining triggers.</li><li>
Develop model registry infrastructure and feature engineering pipelines that enable computational scientists to access models.</li><li>
Implement monitoring and alerting for data pipelines, APIs, ML models, and agentic systems (LLMOps) to ensure system reliability and performance at scale.</li><li>
Build dashboards and metrics tracking for pipeline execution, API latency, token usage, model prediction quality, and system health</li><li>
Establish structured logging and tracing infrastructure for debugging and performance optimization across scientific data systems</li></ul><h2 class="jobSectionHeader">
Scientific Tool Agile Deployment</h2><ul><li>
Deploy predictive and analytical methods from Methods4Insight (e.g. cheminformatics, structural biology, bioinformatics, reaction informatics) with versioning, structured error handling, and response-time guarantees that enable insight generation in agile manner. Productionize when and where needed in partnerships with Tech@Lilly.</li><li>
Build serving infrastructure supporting both synchronous (interactive scientist queries) and asynchronous (batch and agent-invoked) workloads in partnership with Tech@Lilly and Frontier AI.</li><li>
Define and implement API contracts, documentation standards, and testing frameworks that ensure scientific tools are analysis ready, robust and consumable by external teams including Frontier AI.</li></ul><h2 class="jobSectionHeader">
Platform Engineering &amp; Integration</h2><ul><li>
Build and operate cloud-native model serving infrastructure (AWS, Azure, or GCP) using containers, Kubernetes, and infrastructure-as-code.</li><li>
Develop CI/CD pipelines for ML models: automated validation, A/B testing, canary deployments, and rollback procedures.</li><li>
Integrate model serving with Data Foundry&rsquo;s data pipelines, ensuring models have access to properly formatted, versioned training and inference data.</li></ul><h2 class="jobSectionHeader">
Frontier AI Interface &amp; Collaboration</h2><ul><li>
Partner with the Frontier AI team and Tech@Lilly to ensure Data Foundry&rsquo;s scientific tools are exposed via well-defined interfaces (REST APIs, MCP-compatible endpoints) that agents can invoke programmatically.</li><li>
Collaborate on API performance requirements: latency targets, throughput guarantees, and graceful degradation under load.</li><li>
Work with Methods4Insight scientists to ensure deployed models include appropriate uncertainty quantification and confidence metrics.</li></ul>
Basic Requirements<ul><li>
B.S. or M.S. in Computer Science, Data Science, Machine Learning, Bioinformatics, Computational Biology, or related field.</li><li>
3+ years of experience in MLOps, ML engineering, or scientific platform development</li><li>
Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.</li></ul>
Preferred Qualifications<ul><li>
Pharmaceutical or biotech research industry experience.</li><li>
Strong Python skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and ML lifecycle tools (MLflow, W&amp;B, Kubeflow, or similar).</li><li>
Proven track record building and deploying production model serving infrastructure &mdash; containerized endpoints, RESTful/gRPC APIs, and operational monitoring</li><li>
Working knowledge of cloud platforms (AWS, Azure, or GCP), Kubernetes, and CI/CD automation.</li><li>
Strong communication skills with ability to collaborate across computational scientists, software engineers, and partner teams.</li><li>
Experience operationalizing scientific or computational models (cheminformatics, bioinformatics, structural biology, QSAR, molecular simulations, PK/PD, systems biology, or ODE-based models).</li><li>
Hands-on experience with model monitoring, drift detection, and automated retraining systems.</li><li>
Familiarity with API gateway patterns, event-driven architectures, and service mesh technologies.</li><li>
Experience with feature stores, data versioning (DVC), or experiment tracking at scale.</li><li>
Exposure to AI agent frameworks (MCP, LangChain) or building APIs that AI systems invoke programmatically.</li><li>
Experience with C, C++, CUDA, or GPU-accelerated computing for optimizing model training/inference performance; familiarity with containerizing HPC workloads (Singularity/Apptainer).</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$66,000 - $165,000
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Engineer - MLOps & Scientific Platforms - Data Foundry

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Location: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN<h2 class="jobSectionHeader">
Reports to: Lead, Data Architecture (R9), Architecture4Insight</h2><h1 class="jobSectionHeader">
Overview</h1>
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation &amp; Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities&mdash;serving both human scientists and autonomous AI agents.<h1 class="jobSectionHeader">
Position Summary</h1>
We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible. You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets&mdash;serving both discovery scientists and autonomous AI agents.
This role is the foundation of Architecture4Insight. Everything the software engineering team builds&mdash;pipelines, APIs, prototypes&mdash;depends on the data models and platform architecture this team designs. You will work with deep knowledge of scientific data (chemical, biological, HTE, automation-generated) to create custom-fit solutions, then partner with Tech@Lilly to scale and maintain them. The role spans three focus areas depending on expertise: data modeling &amp; ontologies, data platform &amp; lakehouse architecture, and knowledge graph &amp; specialized data systems. You will independently design schemas, select technologies, and make build-vs-buy recommendations for their domain.<h1 class="jobSectionHeader">
Responsibilities</h1><h2 class="jobSectionHeader">
Data Modeling &amp; Ontologies</h2><ul><li>
Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data that serve discovery workflows across the portfolio.</li><li>
Define and maintain controlled vocabularies, metadata standards, and FAIR-compliant data frameworks in partnership with Preparedness4Insight.</li><li>
Implement semantic data standards (RDF, OWL, SPARQL) and ontology engineering practices to create interoperable, machine-readable scientific data.</li></ul><h2 class="jobSectionHeader">
Data Platform &amp; Lakehouse Architecture</h2><ul><li>
Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or equivalent), including data storage patterns, partitioning strategies, and query optimization.</li><li>
Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific data into analytical and ML-ready formats.</li><li>
Implement real-time and streaming data integration (Kafka, Kinesis, event-driven patterns) connecting LIMS, instruments, and lab automation systems to the data infrastructure.</li></ul><h2 class="jobSectionHeader">
Knowledge Graph &amp; Specialized Data Systems</h2><ul><li>
Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular, target, pathway, and experimental relationships across the discovery landscape.</li><li>
Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document stores (MongoDB) for experimental records, and vector databases for embedding-based retrieval supporting ML and RAG workflows.</li><li>
Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the entire data landscape.</li></ul><h2 class="jobSectionHeader">
Cross-Functional Partnership</h2><ul><li>
Partner with scientific software engineers to ensure data architectures are implementable, performant, and well-documented.</li><li>
Collaborate with Methods4Insight to design data structures that support analytical model training, deployment, and evaluation.</li><li>
Work with Tech@Lilly to define scaling strategies, ensure enterprise compliance, and transition data architectures to production-grade management.</li><li>
Contribute to build-versus-buy-versus-adopt decisions by evaluating commercial and open-source data platforms against Data Foundry requirements.</li></ul><h1 class="jobSectionHeader">
Basic Requirements</h1><ul><li>
M.S. or Phd in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field</li><li>
6&ndash;12+ years of data architecture, data engineering, or scientific informatics experience.</li><li>
Deep expertise in at least one of the focus areas: relational databases, data modeling and ontology engineering, data platform and lakehouse architecture (Databricks, Snowflake, Spark), or knowledge graph and specialized database systems (Neo4j, Neptune, MongoDB, TileDB)</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Working familiarity with multiple database paradigms &mdash; relational, graph, document, columnar, key-value &mdash; and strong SQL skills.</li><li>
Understanding of scientific data types and experimental workflows in life sciences or pharma (chemical, biological, HTE data).</li><li>
Strong communication skills with ability to translate data architecture concepts for both technical and scientific audiences.</li><li>
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data integration patterns.</li><li>
Pharmaceutical or biotech research industry experience, particularly in discovery data management or research informatics.</li><li>
Experience with semantic web technologies: RDF, OWL, SPARQL, Prot&eacute;g&eacute;, or equivalent ontology engineering tools.</li><li>
Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph) and knowledge graph design patterns for scientific data.</li><li>
Data lakehouse architecture experience: Databricks (Delta Lake, Unity Catalog), Snowflake, or equivalent; ETL/ELT with Spark, dbt.</li><li>
Experience with streaming/real-time data platforms (Kafka, Kinesis, Flink) and event-driven architectures.</li><li>
Familiarity with LIMS, ELN systems (e.g., Benchling), and laboratory instrument data integration.</li><li>
Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding-based retrieval for ML/RAG applications.</li><li>
Array database experience (TileDB, Zarr) for genomics, imaging, or high-dimensional scientific data.</li><li>
FAIR data principles implementation experience and Data Readiness Level frameworks.</li><li>
Scientific data standards and controlled vocabularies in chemistry (InChI, SMILES) or biology (Gene Ontology, UniProt).</li><li>
Experience with C, C++, or Rust for performance-critical data processing; familiarity with HPC data I/O patterns for large-scale scientific computations.</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$151,500 - $222,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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Advisor - Data Architect, Data Foundry

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