Job Opportunities

NCATS is looking for innovative partners to join its dynamic team. Learn more about current job opportunities at NCATS or across NIH and the Department of Health and Human Services (HHS). NIH and HHS are Equal Opportunity Employers.


Director, Pre-clinical Informatics

National Center for Advancing Sciences, National Institutes of Health
Pre-clinical Informatics
United States Maryland Rockville

Description

The National Center for Advancing Translational Sciences (NCATS), a major research component of the National Institutes of Health (NIH) and the Department of Health and Human Services is seeking applications from exceptional informatics scientists to serve as the lead for Informatics for the Division of Pre-Clinical Innovation (DPI). DPI studies translation of basic discoveries into tangible improvements to human health at a systems level as a scientific and operational problem. The scientists within DPI come from a broad range of scientific disciplines – including, among others, therapeutic discovery, preclinical development, toxicology, biomarkers and clinical application – to reduce, remove, or bypass significant bottlenecks across the entire continuum of translation and to train the future translational science workforce.

The incumbent sets the informatics research agenda, leading a diverse team of data science, bioinformatics, cheminformatics, and software development professionals with discovery, preclinical development and clinical repurposing expertise to advance NCATS translational science initiatives. The position requires a strong interdisciplinary foundation in therapeutic development, genomics, mathematics, and algorithm and informatics platform development. The leader should have a strong record of high-impact publications and experience providing tools and resources to the broader research community. The scientist in this position will serve as leader in this role and will interface with project team leads to ensure proper direction, planning, execution and completion of projects. The incumbent will be a point person responsible for guiding and advancing collaborative projects through milestone driven practices and procedures.

Qualifications

The ideal candidate will possess a doctoral degree (MD, PhD or equivalent) with biomedical research or informatics training and be an internationally-recognized and accomplished researcher in data science, clinical informatics, bioinformatics, computational chemistry or cheminformatics. S/he will be familiar with all aspects of preclinical translation, with a particular interest and accomplishment in novel technology and paradigm development. The candidate must have expertise in multiple aspects of preclinical translation from target validation through early development of therapeutics and/or diagnostics to proof-of-concept in humans. S/he will have a broad and first-hand knowledge of the field of rare disease therapeutic development, including small molecule, biologic, and gene-therapy approaches. Demonstrated collaborative leadership experience working with scientifically diverse research programs, administrative staff, patient advocacy groups, and government/nonprofit organizations is ideal. Open to both U.S. citizens and non-U.S. citizens.

Start Date

To be determined

How to Apply

Send Inquiries and Applications to: NCATSIDRecruit@mail.nih.gov. Applications include a cover letter describing your interest in the position including a career synopsis (1-3 pages); statement of research interests (1-2 pages); a current curriculum vitae and complete bibliography; and the names and contact information of three references. The position will remain open until filled. Learn more about us at: ncats.nih.gov/about/center/org/dpi.

Contact

NCATSIDRecruit@mail.nih.gov.

Informatics Scientist

The NCATS Informatics group seeks a self-motivated, collaborative research scientist to join its programs, studying therapeutic translation on a system-wide level as a scientific and operational problem. The candidate will develop research and methods in the areas of target prioritization, therapeutic drug discovery, knowledge representation, recommendation algorithms, network modeling and inference, and the quantitative analysis of the bottlenecks in translation. The Center convenes expert teams from diverse scientific disciplines — including, among others, therapeutic discovery preclinical development, toxicology, biomarkers and clinical application — to reduce, remove or bypass significant bottlenecks across the entire continuum of translation and to train the future translational science workforce. The candidate is expected to assess the current research program and take on projects related to the Center’s mission and provide guidance where required to the other members of the program.

While the candidate is expected to have significant expertise in therapeutic drug discovery, cheminformatics, machine learning and other relevant topics in molecular informatics, experiences in additional areas of informatics (bioinformatics, text mining, image analytics, etc.) are desirable. More important than any specific expertise is the ability to address problems across different domains and bring to bear the relevant expertise when necessary. A fundamental requirement is a high degree of proficiency in at least one programming language — such that writing code and manipulating data do not create a bottleneck when tackling problems.

While a key goal for this position is to develop and implement informatics research, in the context of translational science, the candidate is also expected to support day-to-day operations as needed. This could range from advising on good statistical practice to munging unusual file formats.

The candidate is expected to actively disseminate his or her own work through publications, presentations at national and international conferences and via the open sharing of tools and source code. Given the collaborative nature of NCATS, the candidate will be collaborating with other groups within NCATS and is encouraged to develop collaborations outside the Center as well. There will be opportunities to work with experimental scientists so that novel methods can be tested on real data.

The NCATS Informatics group plays a key role in the operation of multiple screening platforms (small molecules, RNAi, ADME, drug combinations) and large-scale infrastructure within the Division of Preclinical Innovation at NCATS. Informatics scientists are committed to research and development in all areas of molecular informatics. The group provides an intellectually stimulating environment and is interested in a diverse range of informatics topics that vary in scale from small molecules to phenotypes and other high-level biomedical datatypes. We collaborate with academic, government and commercial computational and experimental groups throughout the world.

Applicants must possess a Ph.D. in an informatics-related discipline or equivalent; he or she must have strong programming skills – ideally in R. If not, he or she should have experience with other data analysis environments (Python, Matlab, etc). In general, the informatics scientist likely will need to munge internal and external data. Applicants also must possess strong oral and written English communication skills. A background in biology (ideally in proteins and networks) is preferred, as are experience in therapeutic drug discovery or preclinical development; experience with Bayesian networks; experience with text mining/modeling; experience with Java development, and a track record of sharing tools, code and resources with the broader research community.

Please submit a cover letter describing your interest in the position, current curriculum vitae and complete bibliography (all in PDF format) to Noel Southall (southalln@nih.gov).

Postdoctoral Positions in the Division of Pre-Clinical Innovation

The Division of Pre-Clinical Innovation (DPI) is the intramural (i.e., on-site) research program of NCATS and is located in Rockville, Maryland, a few miles from the main NIH campus in Bethesda, Maryland. DPI focuses on early stages of the translational process, from target validation to first-in-human studies. More than 200 scientists from a variety of disciplines and across the spectrum from early-career scientists to senior leaders are responsible for advancing the diverse research portfolio of DPI. In addition to conducting cutting-edge laboratory research, DPI scientists collaborate with more than 250 research organizations worldwide.

DPI scientists work in a collaborative, team-based environment. The postdoctoral candidate will be recruited to work on the specific projects described below and will have ample opportunities to collaborate with scientists both within and outside of NCATS on additional projects. Candidates are expected to present results of ongoing work at meetings (such as internal group meetings and national conferences) and submit their work for publication in scientific journals. Postdoctoral fellows also gain additional professional skills and exposure to a variety of career paths through participation in the DPI training program.

Postdoctoral Informatics Scientist

National Center for Advancing Sciences, National Institutes of Health
Division of Pre-Clinical Innovation
NCATS Chemical Genomics Center (NCGC), Adenine Informatics Group
Rockville, Maryland

Description

NCATS is one of the 27 Institutes and Centers at the National Institutes of Health (NIH). The Informatics group collaborates closely with biologists and chemists to develop robust assay designs, analyze experimental outcomes and validate new hypothesis. NCATS’ informatics personnel perform a variety of ligand- and protein structure-related modeling tasks, support the drug discovery process and accelerate translational sciences. The team members also are developing infrastructure and software for the meta-analysis of high-content screens and for integration of the existing biomedical data to discover new hypothesis.

NCATS’ Informatics group is seeking a creative, self-motivated postdoctoral informatics scientist to develop new algorithms for prediction of i) protein-ligand interactions; ii) chemical reactions and comprehensive support of drug discovery projects. The postdoctoral fellow will be responsible for uploading and analyzing pilot and quantitative high-throughput screening runs; analyzing assay reproducibility; analyzing confirmation and secondary screening assays; developing and applying QSAR models and molecular modeling for virtual screening of compounds; supporting medicinal chemistry efforts; and developing new algorithms for prediction of protein-ligand interactions and chemical reactions. Research will be conducted in the NCATS Informatics group.

Qualifications

The ideal candidate will possess a minimum of a Ph.D. in computational science/bioinformatics with specialization in machine learning. He or she will have published at least three research articles as first author. The incumbent must have experience with common cheminformatics libraries and data formats (e.g., RDKit, OpenBabel, SMILES, InChi, etc.), modern software packages (e.g., MOE/CCG, OpenEye tools) and scientific programming (e.g., Python, JAVA) and data analytics (e.g., KNIME, Spotfire). He or she must be able to script work flows and implement new algorithms, have experience working with multi-disciplinary teams, and possess strong oral and written English communication skills. He or she should have experience using modern machine learning and deep learning frameworks (e.g., TensorFlow, Keras), as well as experience in developing algorithms for prediction of protein-ligand interactions and/or chemical reactions.

Applicants must be U.S. citizens, legal residents or possess a valid work permit in order to be considered for the position.

How to Apply

Please submit a cover letter describing your interest in this position, a current curriculum vitae and complete bibliography to Dr. Alexey Zakharov at alexey.zakharov@nih.gov. The position will remain open until filled.

All information provided by candidates will remain confidential and will not be released outside the NCATS search process without a signed release from candidates. The NIH encourages the application and nomination of qualified women, minorities and individuals with disabilities. DHHS and NIH are Equal Opportunity Employers. NIH is dedicated to building a diverse community in its training and employment programs.

Postdoctoral Informatics Scientist Position, Division of Pre-Clinical Innovation

NCATS’ Informatics group seeks a creative, self-motivated, collaborative research scientist to develop new algorithms for predicting chemical reactions and to provide comprehensive support of the Center’s A Specialized Platform for Innovative Research Exploration (ASPIRE) initiative.

NCATS proposes to transform chemistry from an individualized craft to a modern, information-based science through ASPIRE. By addressing long-standing challenges in the field of chemistry — including lack of standardization, low reproducibility and an inability to predict how new chemicals will behave — ASPIRE is designed to bring novel, safe and effective treatments to more patients more quickly at lower cost.

The Informatics group collaborates closely with biologists, chemists, engineers and information technology professionals to develop robust assay designs, analyze experimental outcomes and to validate new hypothesis. The NCATS Informatics group performs a variety of ligand- and protein structure-related modeling tasks, supports the drug discovery process and accelerates translational sciences. The team members also are developing infrastructure and software for the meta-analysis of high-content screens and for integration of the existing biomedical data to discover new hypothesis.

The successful candidate will be an integral team member for the creation and maintenance of a chemical reaction database, the development of new methods for reaction normalization and standardization, the analysis of reaction screens, and the development and application of AI/Machine learning approaches for prediction of synthetic routes and chemical reactions. He or she also must have experience working with multi-disciplinary teams.

Applicants must possess a minimum of a Ph.D. in computational chemistry or a related field with 1 to 3 years of industry or academic experience. He or she should have experience using modern machine learning and deep learning frameworks (e.g., TensorFlow, Keras, sklearn, PyTorch, etc.) Applicants also should have experience with common cheminformatics libraries and data formats (e.g., RDKit, Indigo, CDK, SMIRKS, SMARTS, SMILES, InChi, etc.), as well as experience in scientific programming (e.g., Python, JAVA), data analytics (e.g., KNIME, Spotfire) and relational databases (e.g., Oracle, SQL). Additionally, applicants must be able to script work flows and implement new algorithms. Applicants also must possess strong oral and written English communication skills.

Please submit a cover letter describing your interest in this position, a current curriculum vitae and complete bibliography (all in PDF format), and three letters of reference to Dr. Alexey Zakharov at NCATSAspire-Hires@nih.gov.

Review of applications will begin immediately and continue until the position is filled.

Stem Cell Scientist and Postdoctoral Positions, Division of Pre-Clinical Innovation

NCATS seeks applications from qualified candidates with expertise in the biology of human embryonic and induced pluripotent stem cells (iPSCs) to join the Center’s newly established stem cell program. Candidates with a strong background in cell, molecular and systems biology also are encouraged to apply.

The selected candidates will join a multidisciplinary team of innovative scientists with expertise in assay development, high-throughput and -content screening, compound management, automation engineering, bioinformatics, medicinal chemistry and various “-omics” technologies. They will work in a highly creative environment, focusing on important aspects of human pluripotency and cellular differentiation using cutting-edge technologies (e.g., single-cell analysis, deep sequencing, automated cell culture, high-throughput electrophysiology). The selected candidates also will establish new standards, quality controls, improved differentiation protocols and other resources for the iPSC field. They will be responsible for conducting research and advancing specific programs in coordination with the stem cell team leader.

The ideal candidates will be expected to work independently as well-trained problem solvers in pluripotent stem cell biology and iPSC technology. They will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. They also will draft technical reports, manuscripts and patent applications and present work internally and externally to consultants and collaborators as needed.

Each applicant must possess an advanced degree (M.D. and/or Ph.D.) in a relevant field. Exceptional candidates with master’s degrees and strong backgrounds in stem cell biology will be considered. Candidates with experience in drug discovery, cell and tissue engineering, cell signaling or quantitative biology are encouraged to apply. The ideal candidates should be team players with high scientific standards and have the ability to work in an interactive, fast-paced environment. They must be self-motivated to learn new technologies and be familiar with the methods and concepts of stem cell biology and regenerative medicine.

Interested individuals should send a cover letter, a curriculum vitae with a bibliography and the contact information of at least three references to NCATSstemcellhiring@mail.nih.gov.

Review of applications will begin immediately and continue until positions are filled.