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advisor scientific data engineer

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.<h1 class="jobSectionHeader">
The Opportunity</h1>
We are building something unprecedented &mdash; an AI foundation that will push the frontier on what is possible today across drug discovery research, from target identification and disease biology through translational science.
The Applied Intelligence for Discovery (AI4D) team is a newly formed group within Lilly Research Laboratories that operates at the intersection of scientific delivery and core platform development. AI4D&rsquo;s mission is connecting scientists to petabyte-scale data through natural language interfaces, automated analysis workflows, and intelligent search &mdash; and to convert early deployments into repeatable system standards and evaluation practices that scale across therapeutic areas.
As a Scientific Data Engineer, you will close that gap. You will build the semantic layer, data harmonization infrastructure, AI-ready data products, and lakehouse architecture that bridge how data is stored and how AI systems need to consume it. You will be working at the intersection of the data infrastructure team and the generative AI engineers who build the systems scientists interact with.<h1 class="jobSectionHeader">
Responsibilities</h1><h2 class="jobSectionHeader">
Data Harmonization and Lakehouse Architecture</h2><ul><li>
Design and build the data architecture that transforms raw and processed omics data into harmonized, AI-consumable layers</li><li>
Build and optimize ETL/ELT pipelines that produce denormalized views, pre-computed aggregations, embedding-ready text representations, and feature stores optimized for AI system consumption</li><li>
Implement data quality monitoring, automated profiling, and validation checks across harmonization layers</li><li>
Create versioned, reproducible data snapshots that support model training, evaluation, and audit requirements in a regulated environment</li><li>
Partner with the teams to extend harmonization patterns as data modalities expand beyond genomics and proteomics into spatial transcriptomics, perturbational data (Perturb-Seq), single-cell, and digital pathology</li></ul><h2 class="jobSectionHeader">
Semantic Layer and Schema Engineering</h2><ul><li>
Design and maintain a semantic layer over Lilly&rsquo;s multi-omics databases that enables AI systems</li><li>
Create comprehensive schema documentation: table descriptions, column-level annotations, relationship mappings, business logic rules, and domain-specific constraints (e.g., statistical thresholds, unit conventions, experimental design metadata)</li><li>
Develop gold-standard question/SQL pairs for each major database, in collaboration with computational biologists and Generative AI Engineers, to serve as training data, few-shot examples, and evaluation benchmarks</li><li>
Build and maintain a data dictionary and ontology mapping layer that translates how scientists think and speak about data (gene names, pathway terms, assay types) into how the data is physically stored</li></ul><h2 class="jobSectionHeader">
AI-Ready Data Products</h2><ul><li>
Build and manage vector embedding pipelines for scientific documents, study metadata, and structured data descriptions to power RAG-based retrieval</li><li>
Build integration pipelines that connect heterogeneous data sources &mdash; omics databases, internal publications, electronic lab notebooks, assay results, and clinical annotations &mdash; into a unified, queryable layer</li><li>
Develop and enforce metadata standards that ensure new data sources are AI-accessible from the point of ingestion, not retroactively</li><li>
Design data products that serve multiple consumption patterns: direct SQL access for computational biologists, structured feeds for ML training pipelines, and semantic interfaces for LLM-powered tools</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
Bachelors degree in Computer Science, Data Engineering, Bioinformatics, or a related field + 8 years data engineering experience OR Masters degree and 5 years data engineering experience</li><li>
Demonstrated expertise in building data pipelines, ETL/ELT workflows, and data products that serve downstream AI/ML systems</li></ul><h1 class="jobSectionHeader">
Additional Skills/Preferences</h1><ul><li>
Phd in data or related field</li><li>
Strong SQL skills and experience with complex relational database schemas (hundreds of tables, multi-level joins, domain-specific conventions)</li><li>
Experience with modern data platform technologies, including at least one of: Databricks, Snowflake, or equivalent lakehouse platforms</li><li>
Experience with modern data engineering tools: dbt, Spark, Airflow, or similar orchestration and transformation frameworks</li><li>
Proficiency in Python for data processing, scripting, and pipeline development</li><li>
Experience with cloud data platforms (AWS preferred: Redshift, Athena, Glue, S3, or similar)</li><li>
Familiarity with at least one of: vector databases, embedding pipelines, or semantic layer tooling</li><li>
Strong communication skills &mdash; you can work effectively with both engineers who think in schemas and scientists who think in biology</li><li>
Experience with biomedical or scientific data: omics datasets (RNA-seq, proteomics, GWAS), clinical data, or laboratory information management systems</li><li>
Experience in pharmaceutical, biotech, or life sciences environments</li></ul><ul><li>
Familiarity with biomedical ontologies and controlled vocabularies (Gene Ontology, MeSH, ChEBI, HGNC) and their application to data integration</li><li>
Experience building data products that serve AI/ML systems &mdash; feature stores, training datasets, evaluation benchmarks, or semantic annotations for text-to-SQL</li><li>
Knowledge of data governance practices in regulated industries: data lineage, access controls, versioning, and auditability</li><li>
Experience with knowledge graph technologies (Neo4j, Amazon Neptune, RDF/SPARQL) or graph-based data modeling</li><li>
Deep experience with Databricks ecosystem: Unity Catalog for data governance, Delta Lake for ACID transactions, MLflow integration, and Databricks SQL for analytics workloads</li><li>
Experience designing data architectures that bridge traditional bioinformatics workflows (Nextflow, R/Bioconductor) with modern lakehouse consumption patterns</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
$166,500 - $266,200
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.
#WeAreLilly</div>

Advisor - Scientific Data Engineer

Foresite Labs

<div>Foresite Labs is a translational R&amp;D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities. Our work supports drug discovery and company formation, and provides the core around which new ideas are realized and incubated. We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines. Foresite Labs is headquartered in San Francisco and Boston.

What You&rsquo;ll Do
<ul>
<li>Build and own production data infrastructure. Design, implement, and operate deterministic data pipelines that feed intelligence layers; ingest clinical, financial, scientific, and commercial data from REST APIs, XML feeds, and file-based sources into clean, queryable analytical layers; own the full lifecycle: pagination, rate limiting, auth, schema drift, idempotency, retries, monitoring, and alerting.</li>
<li>Model and curate high-quality data assets. Perform entity resolution, schema design, and quality enforcement across disparate and heterogeneous data sources; ensure downstream models, agents and dashboards operate on clean and trustworthy data.</li>
<li>Support AI-native workflows. Build vector infrastructure (e.g., embeddings, indexing, retrieval) and structured data interfaces that GenAI agents and LLM orchestrators depend on; ensure AI layers have the right data in the right shape at the right time.</li>
<li>Uphold high engineering standards and collaborate broadly. Lead code and design reviews, establish testing and observability best practices, and mentor peers; partner with ML engineers, computational biologists, and company founders to translate scientific and business goals into maintainable, and scalable technical solutions.</li>
<li>Leverage agentic coding tools (Claude Code, Codex, or similar) to accelerate prototyping, refactoring, and debugging.</li>
</ul>
What You&rsquo;ll Bring
<ul>
<li>5+ years of professional data engineering experience designing, building, and operating production pipelines end-to-end - including schema design for analytical workloads, entity resolution across messy real-world sources, and data quality enforcement at the pipeline level.</li>
<li>Deep fluency in Python and SQL, writing performant, well-tested data transformation code (dbt or similar), with production experience in pipeline orchestration (e.g., Airflow, Prefect) covering DAG design, scheduling, dependency management, retry/backfill patterns, and alerting.</li>
<li>Hands-on cloud data stack experience across AWS or GCP (e.g., managed Postgres, object storage, query engines, serverless ETL) and working knowledge of IAM, networking, and infrastructure patterns; comfortable with Spark or Trino at scale over Parquet/Iceberg. Terraform, CDK, or Pulumi experience is a plus.</li>
<li>Exposure to vector databases (Pinecone, pgvector, Weaviate, or similar) with an understanding of how embedding-based retrieval fits into LLM-powered applications.</li>
<li>Comfortable building and navigating Unix environments, containers (Docker), and CI/CD pipelines (GitHub Actions or similar).</li>
<li>Mindset for rapid and early‑stage execution: bias for action, ownership of ambiguous problem spaces, and demonstrated ability to prioritize and wear multiple hats.</li>
<li>Strong written and verbal communication skills - comfortable explaining complex ideas clearly to technical and non‑technical partners.</li>
</ul>
Nice to Have
<ul>
<li>Familiarity with biomedical or life sciences data (e.g., clinical trials, genomics, drug discovery, pharma commercial data).</li>
<li>Familiarity with LLM application patterns: prompting, context engineering, tool use, structured outputs, retrieval-augmented generation (RAG).</li>
<li>Experience with dashboard/BI tooling (Streamlit, Retool, Metabase, or similar).</li>
</ul>
Why Foresite Labs
<ul>
<li>Impact. Your code will accelerate discovery and bring novel therapeutics closer to patients and will help AI driven scientific innovation.</li>
<li>Autonomy. Small, senior teams give you room to architect and own end‑to‑end solutions without heavy bureaucracy.</li>
<li>Learning. Work at the intersection of software, cloud infrastructure, and biology alongside experts in each domain.</li>
<li>Flexibility &amp; Benefits. Competitive salary and equity, comprehensive healthcare, generous PTO, and hybrid/remote options aligned to our SF or Boston hubs.</li>
<li>Ready to build? Apply today and help us create the software foundation that powers the next generation of companies advancing biotech and scientific innovation.</li>
</ul>
Location: San Francisco, CA

Salary range: $185,000 - $221,400

Foresite Labs is an equal opportunity employer. We thrive on diversity and collaboration.</div>

Senior Data Engineer (5+ years)

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Computational Sciences Center of Excellence (CS CoE) brings together data, AI, and computational expertise to accelerate innovation across gRED and pRED. Within CS CoE, the Data and Digital Catalyst (DDC) organization leads the modernization of our data ecosystem, enabling scalable, data-driven science.
The Data Capability organization within DDC is responsible for establishing foundational data capabilities, including data connectivity, data compliance, scientific content management and data ingestion, curation, integration, and delivery. The team ensures that high-quality, well-structured datasets are available to power analytics, AI/ML, and scientific discovery across Research and Early Development.<div></div><div>
THE OPPORTUNITY:</div>
We are seeking an Associate Data Delivery Specialist to support the delivery and operationalization of real-world data (RWD) and clinical-genomic datasets sourced from external partnerships and public/purchased data collections.
In this entry-level role, you will contribute to the coordination, preparation, and delivery of multimodal, high-dimensional datasets, ensuring they are accessible, well-documented, and ready for use in research, analytics, and AI/ML workflows. You will also support interactions with external data providers and internal stakeholders to ensure efficient and compliant data usage.
You will work within a cross-functional environment spanning data engineering, data science, and research teams, helping to enable data-driven discovery across Roche&rsquo;s R&amp;D ecosystem.<ul><li>
RWD Data Operations &amp; Delivery 
Support intake, tracking, and fulfillment of real-world data requests, including clinical-genomic and multimodal datasets. Assist in preparing datasets for delivery, ensuring completeness, quality, and documentation.</li><li>
External Data Coordination 
Coordinate with external partners (e.g., Caris, FMI) to support data requests, query submissions, and data returns. Assist in managing communications, timelines, and deliverables.</li><li>
Data Governance &amp; Access Support 
Assist in managing data access workflows, ensuring appropriate approvals, training, and compliance with data usage agreements. Track data usage and maintain documentation.</li><li>
High-Dimensional Data Handling 
Work with sequencing, imaging, and proteomics datasets, supporting standardized formatting, validation, and integration readiness. Contribute to handling emerging multimodal data types and evolving standards.</li><li>
Data Delivery &amp; Quality Control 
Perform quality checks, metadata validation, and documentation to ensure datasets are analysis-ready. Support troubleshooting of data delivery issues and escalate when necessary.</li><li>
AI-Assisted Data Curation Support 
Contribute to early-stage efforts in AI-enabled data curation and harmonization, supporting improved scalability and efficiency in data delivery workflows.</li><li>
Collaboration Across Teams 
Partner with internal teams (e.g., AIBT, CBM, gRED TM, pRED DTAs) to support data integration and delivery needs across diverse scientific use cases.</li></ul>
Who You Are:<ul><li>
PhD and 0-2 years of experience, Master&rsquo;s degree and 3-5 years of experience or a Bachelor&rsquo;s degree and 4-7 years of experience in Data Science, Bioinformatics, Health Informatics, Biomedical Engineering, Computer Science, or a related field and experience working with real-world data, clinical data, or biomedical datasets</li><li>
Basic understanding of RWD sources (e.g., EHR, claims, registries, clinical-genomic datasets)</li><li>
Strong attention to detail and commitment to data quality and reliability</li><li>
Strong organizational and communication skills, with the ability to support multiple stakeholders</li><li>
You are someone who has the technical skills for: Programming: Python (Pandas) or SQL; familiarity with Bash is a plus. Data Formats: Experience with structured data (CSV, JSON, Parquet); exposure to scientific formats is a plus. Data Platforms: Exposure to cloud environments (AWS S3, GCS, or Azure). Tools: Familiarity with Jupyter notebooks, data portals, or workflow tools is beneficial</li></ul>
Preferred Qualifications:<ul><li>
Exposure to clinical-genomic or multimodal datasets (e.g., Caris, FMI, or similar)</li><li>
Familiarity with data governance and compliance in healthcare or life sciences</li><li>
Exposure to AI/ML workflows or data preparation for analytics</li><li>
Understanding of FAIR data principles and metadata standards</li><li>
Interest in working with external data partnerships and large-scale data ecosystems</li></ul>
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $127,800 - $237,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#LI-JD1
#ComputationCoE
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Computational Biology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
May 12th 2026
</div><div>Job ID
202605-111673</div></ul></div></div></div></div>

Sr. Data Delivery Specialist (Public and purchased data collection)

AbbVie

<div>Company Description 
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. 
Job Description 
These positions are field based / remote in the following locations: CA, WA, OR, IA, MN, IN, OH, FL. Candidates must reside in one of the these states and be willing to travel for site visits.
Purpose
Advance AbbVie's pipeline by striving for excellence in clinical research, turning science into medicine for our patients and leveraging new advanced capabilities to drive industry leading performance. 
Partners with the investigator and site staff for meaningful and effective engagements positioning AbbVie as the choice in clinical trials. 
Focus on site clinical research that ensures appropriate conduct of the trial while driving improvement in data integrity, compliance, overall study performance and customer experience.
Responsibilities<ul><li>
Considered as the primary point of contact for the investigative site. High level of competency or experience in providing contextual information on the clinical trials, connects stakeholder to the investigative sites and strengthens AbbVie&rsquo;s positioning.</li><li>
Aligns, trains and motivates the site staff and principal investigator on the goals of the clinical trial program, protocol and patient treatment principles for the trial ensuring a trusted partnership.</li><li>
Conducts site evaluation, site training, routine, and site closure monitoring activities with compliance to the protocol and monitoring plans, in accordance with applicable regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and quality standards, ensuring safety and protection of study subjects.</li><li>
Advanced understanding of site engagement and ability to customize site engagement strategy for assigned study (ies). Gather local/site insights and utilize site engagement tools such as the Customer Relationship Management (CRM) tool, to report/track progress and measure impact of that strategy.</li><li>
Advanced level of competency connecting the study protocol, scientific principles and clinical trial requirements to the day-to-day clinical trial execution activities. Evaluate and ensure effective recruitment and retention techniques/plans based on the patient disease journey. 
Develop solid knowledge of therapeutic area, asset and clinical landscape / patient journey to enable successful patient recruitment and overall protocol compliance.</li><li>
Possesses experienced level of competency to mentor and train less experienced CRAs on various aspects of work and provides input into their development. 
May participate in global/local task forces and initiatives. Responsible for activities as assigned by manager.</li><li>
Responsible for continuous risk-assessment proactively, and in collaboration with Central Monitoring team, monitor activities conducted by clinical sites to detect early overall study performance or patient safety issues.</li><li>
Advanced ability to think critically to resolve site risk signals while having robust understanding of site processes to drive study execution. Ensures preventative and corrective action plans are put into place, as needed, to mitigate risk and promote compliance using a customer centric approach.</li><li>
Identifies, evaluates and recommends new/potential investigators/sites on an on going basis. Potential sites may be identified through networking or internal AbbVie requests to assist in the placement of planned clinical studies with qualified investigators.</li><li>
Ensures quality of data submitted from study sites and assures timely submission of data, including appropriate reporting and follow-up for all safety events by site personnel. 
Ensures audit and regulatory inspection readiness at assigned clinical site at all times. 
Manages investigator payments as per executed contract obligations, as applicable.</li></ul> 

Qualifications 
Qualifications<ul><li>
Education: Bachelor&rsquo;s degree or equivalent degree; health related preferred (e.g. Medical, Scientific, Nursing, Pharmacy).</li><li>
Minimum of 1 year of clinically related experience, of which a period of 6 months is required in clinical research monitoring of investigational drug or device trials. Familiar with risk‐based monitoring approach, onsite and offsite monitoring.</li><li>
Knowledge of appropriate therapeutic area indications is preferred with the ability to understand and apply scientific concepts as they relate to the conduct of clinical trials.</li><li>
Advanced knowledge on existing and emerging local regulatory and legal requirements, ICH/GCP Guidelines and applicable policies.</li><li>
Demonstrate strong cross-functional collaboration skills among internal and external stakeholders.</li><li>
Demonstrate strong planning and organizational skills and the ability to work effectively and efficiently in a dynamic environment with competing projects and deadlines.</li><li>
Advanced ability to leverage technology, tools and resources to provide customer centric support based on the health of the site.</li><li>
Strong interpersonal skills with excellent written, verbal, active listening and presentation skills, with ability to establish and leverage site relationships and trusted partnerships through engagement, motivation, and training.</li><li>
Ability to use functional expertise with appropriate guidance, leverage critical thinking skills and apply good judgement to address clinical site issues.</li><li>
Acts with integrity in accordance with AbbVie code of business conduct and leadership values. Self-motivated individual focused on delivering timely and quality outcomes in a fast-paced environment.</li></ul> 

Additional Information 
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
<ul><li>The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role atthe time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors includinggeographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
</li><li>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
</li><li>This job is eligible to participate in our short-term incentive programs.
</li></ul>Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested,and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to aparticular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company&rsquo;s sole and absolute discretion,consistent with applicable law.<div></div>
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US &amp; Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html</div>

Clinical Research Associate II - Oncology (Remote US - Multiple Openings)

University of California - San Francisco

<div>Job Summary:
Residency Program Coordinator will manage the day-to-day operations of the program and serve as an important liaison and facilitator between the learners, faculty and other staff members, and the ACGME. They are a key member of the leadership team and are critical to the success of the program. Program Coordinators assist the program director in meeting accreditation requirements, educational programming, and support of residents. 
Department:
The Department of Epidemiology and Biostatistics (DEB), housed within the UCSF School of Medicine, is the largest department of epidemiology in the University of California system. DEB is the epicenter of many of UCSF&rsquo;s initiatives in population health, data science and informatics, health service research, health equity and artificial intelligence. The DEB has three missions: 1) education, 2) science, and 3) research. Its educational mission is to train students in epidemiologic and biostatistical methods for studying disease etiology and prevention, evaluating tests and treatments, and using evidence-based approaches in clinical practice and population health. The scientific mission of the DEB is to perform outstanding basic, clinical and population health research along a spectrum from molecules to society and to develop tools for the translation of knowledge that will improve clinical practice and population health and ensure optimal use of resources. The clinical mission of the Department is to support the practice of public health and preventive medicine in local, state, national and international health agencies.</div>

Residency Program Coordinator

<div>
 
 Company Description
 
 
 
 
 About AbbVie
 
 
 
 AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
 
 
 
 Job Description
 
 
 
 
 These positions are field based / remote in the following locations: CA, WA, OR, IA, MN, IN, OH, FL. Candidates must reside in one of the these states and be willing to travel for site visits.
 
 
 
 
 Purpose
 
 
 
 Advance AbbVie's pipeline by striving for excellence in clinical research, turning science into medicine for our patients and leveraging new advanced capabilities to drive industry leading performance.
 
 
 Partners with the investigator and site staff for meaningful and effective engagements positioning AbbVie as the choice in clinical trials.
 
 
 Focus on site clinical research that ensures appropriate conduct of the trial while driving improvement in data integrity, compliance, overall study performance and customer experience.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Considered as the primary point of contact for the investigative site. High level of competency or experience in providing contextual information on the clinical trials, connects stakeholder to the investigative sites and strengthens AbbVie&rsquo;s positioning.
 </li>
 <li>
 Aligns, trains and motivates the site staff and principal investigator on the goals of the clinical trial program, protocol and patient treatment principles for the trial ensuring a trusted partnership.
 </li>
 <li>
 Conducts site evaluation, site training, routine, and site closure monitoring activities with compliance to the protocol and monitoring plans, in accordance with applicable regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and quality standards, ensuring safety and protection of study subjects.
 </li>
 <li>
 Advanced understanding of site engagement and ability to customize site engagement strategy for assigned study (ies). Gather local/site insights and utilize site engagement tools such as the Customer Relationship Management (CRM) tool, to report/track progress and measure impact of that strategy.
 </li>
 <li>
 Advanced level of competency connecting the study protocol, scientific principles and clinical trial requirements to the day-to-day clinical trial execution activities. Evaluate and ensure effective recruitment and retention techniques/plans based on the patient disease journey. Develop solid knowledge of therapeutic area, asset and clinical landscape / patient journey to enable successful patient recruitment and overall protocol compliance.
 </li>
 <li>
 Possesses experienced level of competency to mentor and train less experienced CRAs on various aspects of work and provides input into their development. May participate in global/local task forces and initiatives. Responsible for activities as assigned by manager.
 </li>
 <li>
 Responsible for continuous risk-assessment proactively, and in collaboration with Central Monitoring team, monitor activities conducted by clinical sites to detect early overall study performance or patient safety issues.
 </li>
 <li>
 Advanced ability to think critically to resolve site risk signals while having robust understanding of site processes to drive study execution. Ensures preventative and corrective action plans are put into place, as needed, to mitigate risk and promote compliance using a customer centric approach.
 </li>
 <li>
 Identifies, evaluates and recommends new/potential investigators/sites on an on going basis. Potential sites may be identified through networking or internal AbbVie requests to assist in the placement of planned clinical studies with qualified investigators.
 </li>
 <li>
 Ensures quality of data submitted from study sites and assures timely submission of data, including appropriate reporting and follow-up for all safety events by site personnel. Ensures audit and regulatory inspection readiness at assigned clinical site at all times. Manages investigator payments as per executed contract obligations, as applicable.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s degree or equivalent degree; health related preferred (e.g. Medical, Scientific, Nursing, Pharmacy).
 </li>
 <li>
 Minimum of 1 year of clinically related experience, of which a period of 6 months is required in clinical research monitoring of investigational drug or device trials. Familiar with risk&hyphen;based monitoring approach, onsite and offsite monitoring.
 </li>
 <li>
 Knowledge of appropriate therapeutic area indications is preferred with the ability to understand and apply scientific concepts as they relate to the conduct of clinical trials.
 </li>
 <li>
 Advanced knowledge on existing and emerging local regulatory and legal requirements, ICH/GCP Guidelines and applicable policies.
 </li>
 <li>
 Demonstrate strong cross-functional collaboration skills among internal and external stakeholders.
 </li>
 <li>
 Demonstrate strong planning and organizational skills and the ability to work effectively and efficiently in a dynamic environment with competing projects and deadlines.
 </li>
 <li>
 Advanced ability to leverage technology, tools and resources to provide customer centric support based on the health of the site.
 </li>
 <li>
 Strong interpersonal skills with excellent written, verbal, active listening and presentation skills, with ability to establish and leverage site relationships and trusted partnerships through engagement, motivation, and training.
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 Ability to use functional expertise with appropriate guidance, leverage critical thinking skills and apply good judgement to address clinical site issues.
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 Acts with integrity in accordance with AbbVie code of business conduct and leadership values. Self-motivated individual focused on delivering timely and quality outcomes in a fast-paced environment.
 
 
 </li>
 </ul>
 Additional Information
 
 
 Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
 
 
 <ul>
 <li>
 The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role atthe time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors includinggeographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
 </li>
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 We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
 </li>
 <li>
 This job is eligible to participate in our short-term incentive programs.
 
 
 </li>
 </ul>
 Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested,and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to aparticular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company&rsquo;s sole and absolute discretion,consistent with applicable law.
 
 
 AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.
 
 
 US &amp; Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
 
 
 US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
 
 
 https://www.abbvie.com/join-us/reasonable-accommodations.html
</div>

Autopoiesis Sciences

<div>
 
 
 About The Role
 
 
 
 
 
 
 Autopoiesis Sciences is a San Francisco-based AI lab building systems that can do science autonomously. We are building the architectures, training methods, and reasoning systems that give AI the judgment to pursue discovery on its own, working the full stack from how scientific reasoning is distilled into models to how the research process itself can be made autonomous. We are backed by Informed Ventures, Alpaca VC, and VitalStage Ventures, Adam Grosser, Ally Warson, Hiro Mizushima, Mike Mahklow, Cross Atlantic Angels, and others.
 
 
 
 
 
 We are currently testing a newly trained autonomous AI system across a broad range of real-world tasks and need sharp, curious people to help us do it. Our AI reasons and plans autonomously, then relays instructions to a human operator who executes them across whatever interface the task requires. For the purposes of this research, it is the most direct way to study unconstrained autonomous behavior at the fidelity we need. You are the hands. The AI is the brain. Together, you close the loop.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 
 
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 Receiving real-time instructions from an autonomous AI system and executing them accurately across whatever interface the task requires
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 Logging outcomes, flagging ambiguities, and providing structured feedback that feeds directly into our research
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 Working alongside ML researchers and engineers to help refine evaluation protocols as the project evolves
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 Participating in debrief sessions where your observations shape how we understand and improve the system
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 Occasionally supporting broader lab operations and research workflows as needed
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 </ul>
 
 
 
 
 
 Who We're Looking For
 
 
 
 
 
 <ul>
 <li>
 Curious about AI research and autonomous systems, whether through coursework, personal interest, or prior experience
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 No degree required, but a background or active interest in STEM is a plus
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 Comfortable following precise technical instructions quickly and accurately
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 Detail-oriented enough to notice when something unexpected happens and articulate it clearly
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 Interested in how autonomous AI systems actually behave outside of demos and papers
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 Reliable, communicative, and able to work on-site at our SF office and warehouse space
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 </ul>
 
 
 
 
 
 Compensation and Benefits
 
 
 
 
 
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 <li>
 Duration: 3 months with potential for extension
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 Mentorship from researchers and engineers working on autonomous AI systems
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 Collaborate in building a thoughtful, mission-driven team culture focused on autonomous scientific discovery
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 Compensation packages are variable based on experience, expertise, and contribution potential. If your expectations fall outside our stated range, we encourage you to apply regardless. The range for this role is $25/hr-35/hr
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 </ul>
 
 
 
 
 
 Get To Know Us
 
 
 
 
 
 
 We're a dedicated team of scientists, researchers, and engineers who believe deeply in the transformative potential of our work. You'll work closely with our leadership team including Chief Executive Officer Joseph Reth (Attended University for CS at 14, former DARPA), Chief Business Officer Dr. Eike Gerhardt (University of T&uuml;bingen PhD, University of T&uuml;bingen staff), Chief Scientist Dr. Larry Callahan (University of Chicago PhD, former FDA, former NIH), and VP of Research Vincent Karpf (UC Berkeley).
 
 
 
 
 
 
 Application Process:
 
 Due to the high volume of automated applications, we only accept applications through LinkedIn as it helps us connect with genuine candidates. We have systems in place to detect automated submissions and strongly advise against using bots or automated tools in your application process. Please be human in your approach.
 
 
 
 
 
 
 Equal Opportunity:
 
 Autopoiesis Sciences, Inc. is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or any other legally protected characteristics.
 
</div>

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