At Sage Bionetworks, we believe that we can learn more by learning from each other. By improving the way scientists collaborate, we help to make science more effective. We partner with researchers, patients, and healthcare innovators to drive collaborative data-driven science to improve health. Making science more open, collaborative, and inclusive ultimately advances biomedicine.
We are currently recruiting Bioinformatics Analyst/Engineers with strong quantitative skills and experience with biomedical research projects. Key tasks will involve supporting biomedical collaborations via analysis of multimodal and clinical datasets (e.g., Electronic Health Records, multi omics, and microbiome data) through community data challenges. This position will facilitate benchmarking efforts for biomedical method and tool assessment and will assist with the organization, analysis, and execution of DREAM Challenges.
What you’ll be doing:
- Perform quality assessment for biomedical datasets contributed by external collaborators
- Design and conduct analyses and meta-analyses across multiple datasets
- Summarize research findings in reports, manuscripts, and presentations to collaborators and funders
- Develop new methods, pipelines, and tools for analysis of data in collaboration with external partners (federal, non-profit and industry). Generate preliminary data to support grant applications.
- Collaborate with in-house data curation experts to select and apply data standards to datasets
- Set up and monitor cloud computing infrastructure and scoring routines for challenges (e.g. DREAM) and continuous benchmarking efforts.
- Developing data models and workflows for a variety of biomedical data types
- Assisting with the creation of dashboards, visualizations, and other resources for experimental and clinical biologists to explore and leverage data and analysis results
We’d love to hear from you if you have:
- A MS (or BS +3 years experience) in computational biology, bioinformatics, biomedical informatics, statistics, epidemiology, computer science, mathematics, or related quantitative discipline
- Experience with “real-world” clinical data and clinical models such as OHDSI/OMOP preferred
- Data science experience, with fluency in one or more programming languages (e.g. R, Python, Julia), and familiarity with computing technologies such as git, Docker, and Linux
- Strong statistical skills required
- Familiarity with cloud-based technologies (AWS, GCP, others) preferred, but not required
In light of Covid-19, all interviews will be conducted remotely, and most positions will be remote through at least January 10, 2022. The option to work on-site at our Seattle office prior to January 10 will be considered upon request.
This is an intermediate level position on our science professional career ladder, with a compensation range of 73,440- 85,373. Actual compensation is dependent upon experience.
Sage provides a flexible work environment and will accommodate requests for geographically remote work with manager approval. Sage will also accommodate local employees who choose to work remotely from the Washington area with the option to come into the office on a flexible schedule.
This position is eligible to be fully remote. Sage Bionetworks is actively working on policies and plans for the post-COVID distributed work environment.