Positions
Short Term Opportunities
Postdoctoral Fellowships
- Network Biology
- Systems Biology
- Sage Bionetworks Center for Cancer Systems Biology - Postdoctoral Fellow, Network Biologist/Computational Scientists
- Sage Bionetworks Center for Cancer Systems Biology - Postdoctoral Fellow, Systems Biology
Learn more about Sage Bionetworks
Careers @ Sage Bionetworks
Sage Bionetworks 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, we invite you to explore the career opportunities at Sage Bionetworks.Sage Bionetworks seeks talented professionals committed to excellence and innovation who can balance interdisciplinary teamwork and individual initiative in a mission-based research environment.
Sage Bionetworks 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.
Positions Available
Statistical Geneticist
Sage Bionetworks is seeking exceptional candidates with strong statistical and computational skills, as well as an interest in analysis relevant to the genetics and biology of disease to join a multidisciplinary research team studying the biological mechanisms of disease.
A strong candidate will possess experience in the methods development for and hands-on analysis of high-throughput genetic and genomic data, including genotypic, sequence, gene/microRNA expression, CNV, methylation, RNA-seq and/or other emerging technologies, especially in conjunction to phenotypic data to identify association and causal relationships for disease. Integrative approaches involving multiple data types are emphasized.
Qualifications:
- Ph.D. or equivalent in statistics, biostatistics, genetics or related quantitative field.
- 3+ years experience working in an academic or corporate research environment.
- Track record for research in the areas of statistical genetics, genetic epidemiology, computational biology, bioinformatics.
- Hands-on experience in the analysis of high-throughput genomic data in the clinical and/or research domains as well as an understanding of the intricacies of working with real data.
- Strong statistical programming and analysis skills in R and/or R/Bioconductor. Proficiency in Linux, Python, Perl, SQL, and object-oriented programming.
- Ability to work in a multidisciplinary team including biological, computational and statistical backgrounds.
- Excellent communication skills.
Sage Bionetworks, www.sagebase.org, is a medical research organization building advanced predictive models of disease. Sage Bionetworks offers a comprehensive benefits package, including relocation benefits to bring the right talent to the team. Sage Bionetworks is an equal opportunity employer.
To apply for this position, please contact: statgen@sagebase.org.
Systems Biologist
Sage Bionetworks is seeking exceptional candidates with strong biological backgrounds and interests in using high dimension genomic data to interpret disease processes. In particular we are seeking individuals with a background in cancer biology or neurobiology.
The successful candidate will have 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:
- PhD, MD, or equivalent in biological sciences and 3+ years of experience in an academic or corporate setting actively applying systems biology to experimental work, preferably relevant to cancer or neurobiology.
- Expertise in 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
- Familiarity with relational databases (MySQL, SQL-Server, Access, etc.)
- Basic statistical training
- Programming and computing skills using R or Matlab
Sage offers a comprehensive benefits package, including relocation benefits to bring the right talent to the team.To apply for this position, please contact: systems.jobs@sagebase.org
Network Biologist
Sage Bionetworks is seeking exceptional candidates with strong computational and analytical skills and an interest in applications relevant to the modeling of disease processes. A necessary pre-requisite for this position is hands on experience in developing network-based algorithms for representing high dimension genomic data.
This position will work in a multi-discipline team and contribute significantly to our efforts to systematically study complex human diseases through the integration of genetics, genomics, gene expression, transcription factor binding arrays, RNAi, clinical end-points, protein-protein interaction, literature data, etc. The goal of the research is to identify causal relationships between pairs of traits, gene-gene or gene-clinical, and represent them in networks or probabilistic graphical models. Such causal networks will be used to elucidate disease or drug mechanism, to aid target discovery and target prioritization.
This position will develop novel methods for integrating diverse data sources, comparing different networks (such as networks for human and mouse, or liver and adipose) and identify common features among networks or distinct pathways between normal networks and disease specific networks. A successful candidate will need to demonstrate the ability to lead complex projects and to work effectively in a team environment.
Qualifications:
- Ph.D. or equivalent in physics, mathematics, statistics, computer science, electrical engineering, bioinformatics, or other relevant area.
- Solid programming skills and experience with large data sets.
- 3+ years of experience in an academic or corporate setting developing systems approaches.
- Expertise in one or more of the following: microarray expression analysis, genetics of gene expression analysis, deep sequencing data analysis, statistical methods development, dynamic systems, graph theory, other network-based approaches to data analysis, or complex biological data mining.
Sage Bionetworks, www.sagebase.org, is a medical research organization building advanced predictive models of disease. Sage offers a comprehensive benefits package, including relocation benefits to bring the right talent to the team. To apply for this position, please contact: network@sagebase.org
Short Term Opportunities
Software Engineering Intern
Sage Bionetworks is a medical research organization dedicated to 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. We currently have an opening for a Software Engineering Intern to join a platform team responsible for the design, creation, testing, and deployment of software infrastructure supporting the Sage Bionetworks Commons that will provide scalable access to biological network data to scientists around the world.
Requirements
- Enrollment in an accredited degree program working towards a BS in computer science or equivalent
- Ability to commit to a 6 month, full time position
- Prefer experience experience with
- Variety of operating systems including Unix/Linux/Windows
- A variety of programming languages (Java, Python. etc.)
- Web design languages (Javascript, Html, CSS)
- Databases (MySQL, etc.)
- Some familiarity with software development tools (Eclipse, Maven, Jira Studio, etc.)
- Strong verbal, written, and organizational skills
- Self-starter with the ability to multitask
Sage Bionetworks offers a hourly salary for the position, rate dependent on experience. To apply, please forward your CV and cover letter to: sw.jobs@sagebase.org
Postdoctoral Fellowship Opportunities
Postdoctoral Fellow, Network Biology
Systems Biology is a fast moving area. Many networks are proposed / constructed based on high throughput methods. The challenges in the field are how to compare such networks, how to extract common information and how to combine them. The answers to these important questions can guide decisions about which data to collect with limited resources and / or how to transfer knowledge from animal models to human disease.
This postdoctoral fellow will work in a multi-disciplinary environment and will be responsible for developing novel methods for comparing different networks (such as network for human and mouse, or liver and adipose) and identifying common features among networks and / or distinct pathways between normal networks and disease specific networks.
Qualifications:
A Ph.D. or equivalent in physics, mathematics, statistics, computer science, bioinformatics, or other relevant area is required. Experience analyzing large datasets is a plus.
To apply:
Please send a detailed CV and a short statement of research interest and career goals to: networkfellow@sagebase.org.
Postdoctoral Fellow, Systems Biology
Systems Biology is a fast moving area. Network models derived from coherent sets of genome-wide data in populations provide an approach to building new models of biology that can be challenged, proofed and refined in other populations and by experiments that perturb particular nodes or structures within molecular networks. Many of the questions that arise in this research are highly interdisciplinary and benefit from diverse perspectives, analytical approaches and experimental designs. We seek postdoctoral fellows with strong cross-disciplinary training who are interested in leveraging the resources of the Sage Bionetworks Commons to develop a novel program of research.
Qualifications:
A Ph.D. or equivalent with strong experience and skills in both biology and computational research is required. Experience analyzing large datasets is a plus.
To apply:
Please send a detailed CV and a short statement of research interest and career goals to: systemsfellow@sagebase.org
Sage Bionetworks 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 work in complementary teams that will develop predictive disease models for the Sage Bionetworks 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 Bionetworks 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 Bionetworks 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 computational biology, biostatistics, bioinformatics, applied mathematics, physics, or other relevant area is required. Experience analyzing large data sets is a plus.
To apply, send your CV and cover letter to postdoc.jobs@sagebase.org. Sage Bionetworks is a nonprofit medical research organization building advanced predictive models of disease. Sage Bionetworks 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 BionetworksCenter focuses on interdisciplinary training in the generation of probabilistic causal models of cancer.
Sage Bionetworks 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 Bionetworks 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 BionetworksCCSB 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 postdoc.jobs@sagebase.org. Sage Bionetworks is a nonprofit medical research organization building advanced predictive models of disease. Sage Bionetworks 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 Bionetworks Center focuses on interdisciplinary training in the generation of probabilistic causal models of cancer.