Positions
- Director, Drug Discovery
- Software Developer
- Sage Center for Cancer Systems Biology - Postdoctoral Fellow, Network Biologist/Computational Scientists
- Sage Center for Cancer Systems Biology - Postdoctoral Fellow, Systems Biology
Learn more about Sage
Careers at Sage
Sage is expanding its interdisciplinary team to accelerate the development of network models of biology across a variety of disease areas and species.
If you thrive in dynamic and intense start-up environments and enjoy the challenges of designing and implementing new approaches to computational biology, genomics and therapeutic discovery, then you should explore the career opportunities at Sage Bionetworks.
Sage seeks talented professionals committed to excellence and innovation who can balance interdisciplinary teamwork and individual initiative in a mission-based research environment.
Sage offers competitive salary packages in an outstanding urban research setting. Benefits include health and disability insurance, a 403(b) retirement plan, relocation, transportation subsidies, and a flexible spending plan. If you have an interest in contributing to the Sage Bionetworks vision, please contact us at jobs@sagebase.org.
Positions
- Director, Drug Discovery
- Software Developer
- Sage Center for Cancer Systems Biology - Postdoctoral Fellow, Network Biologist/Computational Scientists
- Sage Center for Cancer Systems Biology - Postdoctoral Fellow, Systems Biology
Director, Drug Discovery
Sage Bionetworks is recruiting exceptional candidates with a deep understanding of the biological pathways specific to cancer, metabolic or neurodegenerative diseases. We are particularly interested in individuals who have led drug discovery efforts in a biotechnology or pharmaceutical company, or led a large project in an academic center with one of these disease areas as a primary focus.
This leadership position will focus on opportunities in drug repositioning, and will be expected to link with the diverse scientific staff at Sage, including physicists, network and systems biologists, statistical geneticists and software professionals, working to integrate biological network models of disease. An ideal candidate will have a strong biological background, will have been involved in the study of cancer, metabolic or neurodegenerative disease, and will have an interest in using high dimensional genomic data to interpret disease processes.
This position requires a background that includes hands on laboratory research as well as the generation and interpretation of genome-wide data. Research done in this position is inherently interdisciplinary and will involve mining data across organ systems and species to develop models of biology and prospectively test the utility of those models. These models will be used to focus mechanistic experiments in many aspects of biology, including applications in therapeutic target and biomarker discovery as well as patient stratification for clinical outcome or pharmacological response. A successful candidate will need to demonstrate the ability to lead complex projects and to work effectively in a team environment.
Qualifications:
- MD and/or PhD in biological or medical science
- Minimum of six years of experience in an academic or corporate setting engaged in the drug discovery process
- Expertise in one of the following disease areas preferred: oncology, metabolic or neurodegenerative
- Experience with lead-optimization, preclinical safety and phase I through IIB trials
- Familiarity with one or more of the following: microarray expression analysis, genetics of gene expression analysis, deep sequencing data analysis, statistical methods development, network methods development or complex biological data mining
- Working knowledge of bioinformatics methods and database resources
Sage Bionetworks, www.sagebase.org, is a medical research organization building advanced predictive models of disease. Our primary objectives are two-fold: to build and support an open access platform and databases for building innovative new dynamic disease models; and to interconnect scientists as contributors to evolving, integrated networks of biological data. Please see our existing programs and partners, and review recent articles before applying.
Sage offers a comprehensive benefits package, including relocation benefits, to bring the right talent to the team. To apply, please forward your CV and cover letter to: jobs@sagebase.org.
Software Developer
Sage Bionetworks is recruiting for a Software Developer to assist in the building and deployment of the Network Data Management Component (NDMC) and other components of the Sage Commons that will provide scalable access to biological network data. The NDMC is the core repository for network models in the Sage Commons and is fundamental to the transition of data and practices to a scalable platform that can serve a broader community of scientists interested in aggregating, sharing and collaboratively improving our understanding of the biological networks that underlie human health and disease.
This position will be part of a newly-formed team responsible for the development and non-user testing of the NDMC.
Specific responsibilities include:
- Designing and implementing user interface software solutions, data driven middle-layer software components and storage layer software components
- Developing system interface specifications and implementing code to meet these specifications
- Deploying developed software
- Troubleshooting code defects, and implementing and deploying timely fixes
- Identifying areas for optimization and improvement
- Interacting directly with stakeholders to understand their needs
- Analyzing new requirements and providing accurate effort assessments and delivery estimates
- Participating in design and code reviews
- Creating and maintaining technical documentation
Qualifications:
- Bachelors degree or higher in Computer Science, Software Engineering or equivalent required. Biology related coursework or work experience preferred.
- At least four years experience in the software industry shipping enterprise and / or web-scale software systems
- Versatile and strong programming skills in a variety of computer languages, including:
- Working knowledge of C++ and enterprise-level Java
- Knowledge of .NET languages, including C#/Mono
- Experience in building web user interfaces and data transfer applications
- Strong understanding of, and experience utilizing, object oriented design and programming, and design patterns
- Experience designing software APIs used by other software development teams.
- Ability to rapidly assess and integrate new software technologies into a complete solution
- Experience with and strong understanding of an SDLC methodology
- Solid understanding of database fundamentals and knowledge of SQL
- Excellent verbal and written communication skills
- Ability to balance concurrent tasks
- Experience in Bioinformatics preferred
Sage Bionetworks, www.sagebase.org, is a medical research organization building advanced predictive models of disease. Our primary objectives are two-fold: to build and support an open access platform and databases for building innovative new dynamic disease models; and to interconnect scientists as contributors to evolving, integrated networks of biological data.
Sage offers a comprehensive benefits package, including relocation benefits, to bring the right talent to the team. To apply, please forward your CV and cover letter to: jobs@sagebase.org.
Sage Center for Cancer Systems Biology - Postdoctoral Fellow, Network Biologist/Computational Scientists
Are you a Physical Scientist with experience analyzing large datasets looking to transition to the world of Cancer Network Biology?
Why not consider joining an interdisciplinary team developing predictive models in Cancer?
Sage Bionetworks is recruiting for its fully funded two year post doctoral training program, candidates with deep expertise in physics, math or computational biology and at the same time, other candidates with significant clinical or biological experience. Candidates will be paired to form complementary teams that will develop predictive disease models for the Sage Center for Cancer Systems Biology (CCSB). Our aim is to apply unbiased and integrated data-driven approaches to model the molecular drivers of clinically important cancer outcomes that leverages the explosion of available genomic data and goes beyond traditional linear pathway analysis.
The Sage CCSB program includes a core platform of curated datasets, mathematical models and experienced investigators mentoring complementary teams of postdoctoral fellows. Trainees will do externships at other CCSB sites to facilitate reciprocal exchange of ideas. Hypotheses generated from the models will be validated in collaboration with the Fred Hutchinson Cancer Research Center and the Netherlands Cancer Institute.
Together with a cancer systems biologist in training, this position will develop network models using cancer datasets consisting of DNA variation, gene expression, and clinical phenotypic data and will lead the development of tools that can enable easy access and utilization of network models at the Sage Commons platform. Candidates will gain extensive experience in network construction and cancer biology allowing more efficient communication between disciplines and stimulating the development of novel methods for cancer biology.
Qualifications: A Ph.D. in physics, mathematics, statistics, computer science, electrical engineering, bioinformatics, or other relevant area is required. Experience analyzing large data sets is a plus.
To apply, send your CV and cover letter to jobs@sagebase.org. Sage Bionetworks is a nonprofit medical research organization building advanced predictive models of disease. Sage was recently awarded a four year grant from the NCI Integrative Cancer Biology Program to establish a new Center for Cancer Systems Biology. The Sage Center focuses on interdisciplinary training in the generation of probabilistic causal models of cancer.
Sage Center for Cancer Systems Biology - Postdoctoral Fellow, Systems Biology
Are you a Cancer Biologist/Oncologist looking to transition to the world of Network and Systems Biology?
Why not consider joining an interdisciplinary team developing predictive models in Cancer?
Sage Bionetworks is recruiting for its fully funded two year post doctoral training program, candidates with deep expertise in physics, math or computational biology and at the same time, other candidates with significant clinical or biological experience. Candidates will be paired to form complementary teams that will develop predictive disease models for the Sage Center for Cancer Systems Biology (CCSB). Our aim is to apply unbiased and integrated data-driven approaches to model the molecular drivers of clinically important cancer outcomes that leverages the explosion of available genomic data and goes beyond traditional linear pathway analysis.
The Sage CCSB program includes a core platform of curated datasets, mathematical models and experienced investigators mentoring complementary teams of postdoctoral fellows. Trainees will do externships at other CCSB sites to facilitate reciprocal exchange of ideas. Hypotheses generated from the models will be validated in collaboration with the Fred Hutchinson Cancer Research Center and the Netherlands Cancer Institute.
Working closely with a network biologist, this position will provide biological guidance in data (especially phenotypic data) quality control, key biological questions to address, network model interpretation, design of validation experiments, and network tool specifications from a user-perspective. Postdoctoral fellow in this position will also participate in data processing and network modeling to gain hand-on experience so as to obtain better understanding of the network models and facilitate more efficient communication between clinical biologists and computational scientists.
Qualifications: A Ph.D. or equivalent with strong experience and skills in cancer biology. Some understanding of computational research and experience of analyzing large data sets are preferred.
To apply, send your CV and cover letter to jobs@sagebase.org. Sage Bionetworks is a nonprofit medical research organization building advanced predictive models of disease. Sage was recently awarded a four year grant from the NCI Integrative Cancer Biology Program to establish a new Center for Cancer Systems Biology. The Sage Center focuses on interdisciplinary training in the generation of probabilistic causal models of cancer.