Clinical Data Manager/Analyst
South San Francisco, CA
Applications have closed
Verily
Verily is an Alphabet precision health company that helps pharma and consumer health companies develop safe, effective treatments faster and enable patients, providers and payors to make better care decisionsWho We Are
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, Our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
Description
We are open to candidates in Dallas, TX, South San Francisco, CA, Raleigh NC, Boulder, CO, and Boston, MA for this role.
As a Clinical Data Manager/Analyst in the Quantitative Sciences organization, you will be responsible for supporting and managing the collection, capture, quality, and integrity of data, from diverse sources, including electronic health records, eCRF, ePRO, digital health technologies including apps and sensors, digital biomarkers, advanced specialty labs, images, and others. You will plan, monitor, and manage across data streams from data capture through ingestion into Verily platforms, ensuring data collected are of high quality, documented, and ordered to support planned and potential analyses and uses. You should be fluent in the use of technical and statistical tools that enable assessment and review of data. As a member of the Clinical Data Management team you will work with cross-functional colleagues to integrate the team’s work across Verily, and develop new models to enable efficient clinical data management activities at-scale to build our product offerings supporting sponsored clinical research and evidence generation with our external partners.
Responsibilities
- Provide clinical data management support across a diverse portfolio of Verily studies and a diverse range of data streams, including clinical data, sensor data, advanced molecular data, app data, and imaging data.
- Develop innovative Data Management Plans (DMP), enhanced as required through the lifecycle of study projects to incorporate cross-data stream checks, and ensure DMP is followed according to study design and requirements. Develop Data Quality Plan, considering the full range of data sources, and perform specified validation and quality management activities.
- Build and develop databases (DB) to protocol objectives and specifications, inclusive of electronic Case Report Form (eCRF) and electronic patient reported outcome (ePRO) design and annotation, edit rules/checks, query logic and data validations. As required, coordinate and communicate with internal partners and external vendors.
- Complete validation of database build, including but not limited to: developing test scripts, execution logs for validation, edit checks, data listings, data reconciliation and/or coding and validation summary report.
- Collaborate with cross-functional teams to monitor and provide data to support clinical operational activities and reports. Partner with Quantitative Sciences to develop and document data repository schema across data sources.
Qualifications
Minimum qualifications:
- Bachelor's degree in health or science, or equivalent practical experience. Advanced degree in informatics, clinical research, or computer science preferred.
- 7+ years of data management and/or related work experience in a pharmaceutical, biotech, or medical device industry/company.
- Experience with Good Clinical Practices (GCP), Good Pharmacoepidemiology Practice (GPP), clinical research and medical product development, clinical trial processes and related regulatory requirements and terminology (e.g., 21 CFR Part 11, human subjects research).
Preferred qualifications:
- Experience with clinical databases i.e. EDC and EHR systems.
- Experience with using Fast Healthcare Interoperability Resources (FHIR) and/or working with the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM).
- Experience working with medical devices and digital biomarkers.
- Fluency in CDISC, MedDRA and other health data standards.
- Basic to intermediate competency in SQL. Experience with R, python, SAS or other statistical tools is a plus. Basic knowledge of statistics.
The US base salary range for this full-time position is $109,000 - $167,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
#LI-EB1
Why Join Us
Build What’s Vital.
At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology—united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health. Fulfilling our precision health purpose starts with the health of our Veeps (what we call our employees), which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being. We believe diversity of thought drives innovation—we unite the brightest minds, and encourage all Veeps to bring their lived experience to work with them.
If this sounds exciting to you, we would love to hear from you.
You can find out more about our company culture on our LinkedIn Company Page and Verily Careers page.
Tags: Computer Science Data management Data quality GCP OMOP Pharma Python R Research SAS SQL Statistics
Perks/benefits: Competitive pay Equity Health care Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Databricks-related jobs